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Table of Content

    15 May 2025, Volume 46 Issue 05
        
    • Invited Column: Intelligent Fiber and Fabric Device
      Preparation and properties of core-sheath fiber for triboelectric nanogenerator
      YU Mengfei, GAO Wenli, REN Jing, CAO Leitao, PENG Ruoxuan, LING Shengjie
      Journal of Textile Research. 2025, 46(05):  1-9.  doi:10.13475/j.fzxb.20241203701
      Abstract ( 176 )   HTML ( 36 )   PDF (10658KB) ( 142 )   Save
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      Objective The triboelectric nanogenerator (TENG) is capable of efficiently converting mechanical energy into electrical energy, showing immense potential in the field of self-powered wearable smart materials. The single-electrode mode, in particular, simplifies the system design and reduces the integration complexity, thereby demonstrating broad applicability across diverse scenarios. However, the conventional fabrication of TENG fibers with a core-sheath structure faces challenges due to the complexity of the preparation process. This study employed microfluidic spinning technology to fabricate single-electrode poly(vinylidene fluoride-hexafluoropropylene)-fibroin ionic liquid triboelectric nanogenerator fibers (PSE-TENG fibers) in a one-step process, using high-dielectric constant poly(vinylidene fluoride-hexafluoropropylene) (PVDF-HFP) as the sheath material and fibroin ionic liquid (SE) solution as the conductive core material.
      Method This study explored an innovative method using microfluidic spinning technology to achieve the one-step fabrication of single-electrode PSE-TENG fibers. PVDF-HFP, known for its high dielectric constant, was used as the sheath material, and a silk protein ionic liquid solution, noted for excellent conductivity, stability, and mechanical flexibility, was taken as the core material. The morphology, structure, and mechanical properties of the PSE-TENG fibers were characterized using scanning electron microscopy and a universal mechanical testing machine. A fatigue tester was adopted to simulate motion, and an oscilloscope was employed to collect the electrical output signals of the PSE-TENG fibers. The influences of spinning parameters on the structure of PSE-TENG fibers were thoroughly investigated, their mechanical properties were systematically evaluated, and their output performance and long-term stability under different mechanical motion conditions were explored.
      Results SEM images confirmed a well-defined and continuous core-sheath geometry. The core diameter could be tuned by adjusting the flow-rate ratio in the microfluidic spinneret. PSE-TENG fibers exhibited a tensile strength of (3.32±0.19) MPa and an elongation at break of (176.83±27.14) %, indicating excellent flexibility and robustness suitable for textile processing. Under contact-separation motions of different frequencies, the peak open-circuit voltage increased monotonically with frequency, demonstrating a clear correlation between mechanical excitation rate and electrical output. Even after more than 20,000 contact-separation cycles, the voltage signals showed negligible degradation, proving outstanding operational durability.
      Conclusion The results validate a facile, scalable microfluidic spinning approach for producing mechanically resilient, high-output PSE-TENG fibers in a single step, thereby eliminating the complexity of conventional layer-by-layer or post-coating techniques. The fibers unite 1) a stable core-sheath architecture, 2) high tensile strength and large elongation, 3) frequency-responsive voltage generation, and 4) long-term cycling reliability exceeding 20 000 operations. These attributes translate into superior energy-conversion efficiency and mechanical robustness, making the PSE-TENG fiber an attractive self-powered component for next-generation wearable electronics, smart textiles, and other portable or deformable devices that demand continuous, reliable, and efficient energy harvesting.

      Construction and electromagnetic properties of Wi-Fi dual-band fabric antenna
      LI Duo, XIE Xiaowen, ZHANG Difan, WU Jingxia, LU Kai, CHEN Peining
      Journal of Textile Research. 2025, 46(05):  10-16.  doi:10.13475/j.fzxb.20241204701
      Abstract ( 134 )   HTML ( 17 )   PDF (6462KB) ( 87 )   Save
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      Objective Electronic fabrics hold significant potential applications in wearable devices and smart healthcare. Antenna, as a critical component for the emission and reception of electromagnetic waves, plays a pivotal role in enabling wireless signal transmission in future electronic textiles. In order to address these application requirements, it is essential to develop textile antennas which not only exhibit superior electromagnetic properties, such as wide bandwidth and high gain, but also maintain air permeability and comfort.
      Method The microstrip slot fabric antenna structure was designed utilizing electromagnetic simulation software. Through the digital weaving method, the dual-band Wi-Fi fabric antenna was constructed by arranging silver-coated nylon fibers in a specific configuration on a cotton substrate. The electromagnetic performance of the Wi-Fi dual-band fabric antenna was evaluated and analyzed. Additionally, the stability and permeability of the fabric antenna were rigorously examined.
      Results The dual-band Wi-Fi fabric antenna proposed was sufficient to cover the 2.4 GHz to 5.2 GHz working frequency bands of Wi-Fi. The measured and simulated results of dual-band Wi-Fi fabric antenna radiation pattern was basically consistent. Moreover, at the frequency of 2.4-5.2 GHz, the specific absorption rate of human tissue was simulated when the antenna was 5 mm away from human tissue. The maximum specific absorption rate of human tissue was 0.831 W/kg and 0.515 W/kg, respectively, lower than the standard value (1.6 W/kg), indicating that the designed antenna has good human safety. In order to verify the stability of dual-band Wi-Fi fabric antenna at bending deformation, the reflection coefficient curves of the antenna under different bending angles were studied. The results showed that the resonant frequency was slightly shifted, but the bandwidth of the antenna was wide enough to cover the Wi-Fi frequency between 2.4 GHz and 5.2 GHz, thus enabling stable working of the antenna. Furthermore, the wearing comfort of dual-band Wi-Fi fabric antenna was studied. The air permeability of the fabric antenna and the commercial cotton fabric with the same thickness were found to be in the same order of magnitude, which indicates that the air permeability of dual-band Wi-Fi fabric antenna can meet the comfort requirements of human body in the daily wearing process.
      Conclusion Electromagnetic simulation software is adopted to simulate the structure of dual-band Wi-Fi fabric antenna, and the dual-band Wi-Fi fabric antenna was prepared from silver-coated nylon fibers and cotton fabric through the digital weaving. The performance test of dual-band Wi-Fi fabric antenna proves that the antenna can work effectively in the Wi-Fi dual-band of 2.45 GHz and 5.2 GHz. The fabric antenna can still maintain stable electromagnetic performance when bent, and has good air permeability and human safety. This research has shown great application potential in the field of electronic fabric, which provides a new solution for the wireless communication function of electronic fabric.

      Preparation and application of flexible carbon nanotube electric heating element for intelligent heating clothing
      SUN Wanhong, ZHANG Pengfei, CHEN Yong, ZHANG Lin, PAN Yueshan, SONG Feihu, LIU Enxing, WANG Yuping
      Journal of Textile Research. 2025, 46(05):  17-22.  doi:10.13475/j.fzxb.20241204101
      Abstract ( 162 )   HTML ( 10 )   PDF (4216KB) ( 105 )   Save
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      Objective In order to meet the demand for warmth and comfort of warm clothing in cold environment, intelligent warm clothing was developed. Carbon nanotube (CNT) is a new type of conductive material with high thermal conductivity, high strength and high electrical conductivity, and its excellent performance makes it widely applicable to the preparation of flexible heat-generating electronic devices. In this research, two types of heating elements are made of CNT materials, including CNT conductive film heating element and CNT conductive fabric heating element. The heating module is the core of heating clothing, aiming to meet the needs of wearing and heating.
      Method CNT were dispersed by grinding and then mixed with waterborne polyurethane (WPU) to obtain CNT conductive slurry. CNT conductive films were prepared from the CNT slurry by vacuum filtration. CNT conductive fibers were prepared by coating the CNT slurry on the surface of polyester fibers using sizing and weaving the CNT conductive fibers into fabrics. The film and fabric were prepared, respectively, as simple heating elements, and compared with conventional resistance wire heating elements and CVD-CNT films prepared by CVD method to analyze its heating performance and wearability such as washability, permeability, flexibility and perspective.
      Results In the heating test (with the power of the four electric heating elements set to 31 W by adjusting the heating area and voltage), the heating rate of CNT conductive film was found to be the highest, up to 1.96 ℃/s (the resistance wire was the lowest, 0.53 ℃/s). The heating temperature of CNT conductive fabric was the highest, up to 121.54 ℃ (the lowest temperature of resistance wire was 56.87 ℃). It showed that the thermal image of the resistance wire during heating was a curve, while the images of the other three of thermal images were two-dimensional planes. The washability test showed, that the heating elements made of CNT conductive film, CVD-CNT film and CNT conductive fabric were washable. After two washing cycles, the mass of CVD-CNT film was reduced the most, by 7.1%, and the resistance was increased the most, by 3.8%, while the resistance wire heating elements were not washable. The air permeability test showed that CNT fabric has air permeability of 463 mm/s, and other heating elements had no air permeability. The flexibility test showed that the flexibility of CNT conductive film, CVD-CNT film and CNT fabric (the test direction is radial) was almost the same, which was above 300% higher than that of resistance wire and above 60% higher than that of CNT fabric (the test direction is weft). Finally, the moisture permeability of four electric heating elements was tested. The results showed that the moisture permeability of CNT conductive film was 2 980 g/(m2·24 h), that of CNT-CVD film was 2 880 g/(m2·24 h) and that of CNT conductive fabric was 3 970 g/(m2·24 h). Obviously, CNT conductive fabric has good moisture permeability. Because the effective working area of resistance wire heating elements was a curve, the moisture permeability could not be tested.
      Conclusion The successfully prepared CNT conductive films and CNT conductive fabrics can be assembled into electric heating elements and tested for heating performance. The results indicate that CNT conductive films not only generate heat quickly, but also exhibit excellent flexibility. CNT fabric has a high heating temperature, good permeability and certain flexibility. Introducing CNT into the heating module not only solves the problem of missing heating elements in intelligent heating clothing, but also expands the market application of CNT, proving the feasibility of CNT as a heating element and providing strong reference for the design of subsequent CNT heating systems.

      Preparation of melt-electrospun filament yarns and their applications in triboelectric nanogenerators
      YAN Jing, WANG Yaqian, LIU Jingjing, LI Haoyi, YANG Weimin, KANG Weimin, ZHUANG Xupin, CHENG Bowen
      Journal of Textile Research. 2025, 46(05):  23-29.  doi:10.13475/j.fzxb.20250203901
      Abstract ( 144 )   HTML ( 8 )   PDF (6697KB) ( 76 )   Save
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      Objective In order to enhance the electrical output performance of fabric-based triboelectric nano-generators (TENGs) by addressing the issue of insufficient effective working area due to large fiber diameters, melt-electrospinning technology was utilized to fabricate polypropylene (PP) and polyamide-6 (PA6) filament yarns, because electrospinning, as an efficient fiber fabrication technique, enables the formation of micro/nanoscale polymer fibers through electric field-induced elongation, which have established its pivotal role in developing high-performance TENGs. The work highlights the importance of optimizing fiber structure to improve TENG performance for practical applications in energy harvesting and self-powered wearable electronics.
      Method Melt-electrospinning was utilized to fabricate PP and PA6 filament yarns, specifically focusing on precise regulation of fiber diameter through the application of a high-voltage electric field. The filament yarns were then woven with stainless steel yarns to create the TENGs. Performance tests were conducted to evaluate mechanical properties, water contact angle, and electrical output. The electrical performance of TENGs was measured under different pressures and frequencies, and after multiple washing cycles. Commercial PP and PA6 filament yarns were used as a comparison for performance evaluation.
      Results The melt-electrospun PP yarns and PA6 filament yarns demonstrated average fiber diameters of 3.84 μm and 12.25 μm, which significantly increased the contact area and enhanced the triboelectric effect. In addition, the PP yarns and PA6 filament yarns exhibited excellent mechanical properties which are suitable for demanding weaving process and practical applications. Compared to TENGs made of commercial yarns, the melt-electrospun filament yarns improved the electrical output performance dramatically. Under the experimental conditions, the TENG made of melt-electrospun PP yarns and PA6 filament yarns produced a voltage of 110 V and a current of 11.4 μA, which are 41 times and 95 times higher than the commercial filament yarn-based TENG, respectively. The TENG also showed stable performance under varying pressures and frequencies. Even after 5 000 s of continuous operation and multiple washing cycles, the electrical output performance did not degrade significantly. Furthermore, the TENG demonstrated a maximum power density of 0.82 W/m2 under a 50 MΩ load, with the capability to power microelectronic devices like LEDs and electronic watches, indicating its practical potential for wearable electronics and self-powered systems.
      Conclusion Melt-electrospinning is an effective technique for improving the performance of fabric-based triboelectric nanogenerators by reducing fiber diameter and enhancing the triboelectric effect. The results show that the melt-electrospun PP and PA6 filament yarns significantly outperform commercial yarns in terms of triboelectric performance. The TENGs made of these filament yarns exhibit high voltage, current, and power density, along with good long-term stability and resistance to washing. These findings suggest that melt-electrospinning-based fabrics could serve as efficient energy harvesters for wearable electronic devices and self-powered systems. Future work could explore optimizing the process further reducing the fiber diameter to nanoscale and investigating the scalability of this approach for real-world applications.

      Review of controlled synthesis and performance regulation of functional carbon nanotube fibers
      LI Run, CHANG Ziyang, ZHANG Rufan
      Journal of Textile Research. 2025, 46(05):  30-40.  doi:10.13475/j.fzxb.20241202402
      Abstract ( 227 )   HTML ( 25 )   PDF (5047KB) ( 145 )   Save
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      Significance Carbon nanotube fibers (CNTFs), as macroscopic materials assembled from aligned individual carbon nanotubes (CNTs), have garnered significant attention by virtue of their exceptional physical and chemical properties, such as high strength, high thermal conductivity, flexibility, and electrical conductivity. These characteristics make CNTFs highly promising for applications in fiber sensors, energy storage devices, and flexible electronics. However, challenges in the controlled fabrication and functionalization of CNTFs hinder their broader application. This review systematically explores the preparation methods and performance regulation strategies of CNTFs, summarizes recent advancements across multiple fields, and outlines future directions and challenges in this area.
      Progress CNTFs retain the remarkable properties of individual CNTs on a macroscopic scale, making them suitable for a wide range of advanced applications. Various fabrication techniques, such as wet spinning, array drawing, and floating catalytic chemical vapor deposition, have been developed to assemble CNTs into fibers. However, these methods face challenges, including insufficient CNT length, poor alignment and the presence of defects and impurities, limiting the full realization of their intrinsic properties. Post-treatment techniques, such as pressing, stretching, and twisting, have been employed to enhance the alignment and mechanical properties of CNTFs, achieving tensile strengths up to 9.6 GPa and electrical conductivities of 1.06×107 S/m. Compared to conventional metal and polymer fibers, CNTFs exhibit superior performance in terms of tensile strength, Young's modulus, conductivity, thermal conductivity, surface area, and flexibility. These advantages make CNTFs highly promising for applications in flexible electronics, sensors, and wearable devices.
      Conclusion and Prospect Significant progress has been made in the synthesis techniques and performance optimization of CNTFs in recent years. However, critical challenges, such as defect control, efficient large-scale production, and the development of novel functionalization strategies, remain to be addressed. Future research should focus on scalable production while maintaining high material quality and performance. Additionally, more advanced methods for performance tuning will further promote the development of CNTFs in flexible electronics, energy storage devices, and other applications. As a novel type of functional material, CNTFs hold great promise for future advancements.

      Strategies for enhancing performance of novel mechano-electric conversion fibers based on contact electrification effect
      CHEN Xiao, ZHAO Jizhong, DONG Kai
      Journal of Textile Research. 2025, 46(05):  41-48.  doi:10.13475/j.fzxb.20250104302
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      Significance Mechano-electric conversion fibers (MECFs) represent a development in smart fiber materials, merging the novel field of triboelectric technologies with conventional wearable fibers and textiles. This integration enhances the functionality of autonomous power supply for wearable electronics. The significance of MECFs also lies in their potential to revolutionize smart sensing, including healthcare, sports, and personal electronics, by providing a sustainable self-powered sensing signals. However, the realization of MECF's potential faces challenges such as low energy conversion efficiency and output power density. Addressing these limitations is crucial for unlocking MECF's capabilities in energy supplements and human-body wearable applications, where reliable and continuous power supply is essential for the effective operation of sensors and other electronic devices. This research underscores the importance of enhancing electrical output performance through innovative material selection, structural design, and energy management strategies, paving the way for more efficient and versatile wearable devices.
      Progress Recent advancements in MECFs have made significant strides towards overcoming the inherent limitations of these materials, particularly focusing on improving their mechanical-electric conversion performance. A key area of progress involves the selection and modification of polymer materials, whose intrinsic properties are pivotal in determining MECF's overall efficiency. By applying chemical and physical modifications, researchers have been able to adjust or enhance the material components, surface characteristics and conductivity of polymers, thereby increasing their ability to generate electricity from mechanical movements. Another critical development has been the introduction of multidimensional fiber or fabric structures designed to maximize the effective contact area between electrification materials. These designs not only increase the amount of interfacial charge transfer but also improve the durability and flexibility of MECFs, making them more suitable for integration into wearable devices. Furthermore, addressing the need for long-term, sustainable power supply on human surfaces, advanced power management systems is also essential. These systems convert the MECF's high-voltage, low-current alternating current (AC) output typical into a regulated direct current (DC) form, ensuring compatibility with wearable electronics while minimizing energy loss. Such innovations have demonstrated the feasibility of MECFs in self-powered wearable sensing technologies, highlighting their potential for broader applications and marking a significant advancement in the field.
      Conclusion and Prospect The culmination of current research efforts indicates substantial progress in enhancing the performance of MECFs, yet challenges remain regarding their practical application and scalability. Material research should focus on developing new polymers through surface grafting, component doping, and microstructure design to achieve higher charge density and stable output performance while maintaining flexibility and comfort for long-term wear. Structural optimization has shown that three-dimensional (3-D) MECFs hold greater potential than traditional two-dimensional (2-D) fabrics by virtut of increased contact area, improved charge transfer efficiency, stability, and protective capabilities, which are crucial for high-performance applications. Additionally, bio-inspired designs, multifunctional integration, and personalized customization via 3D printing can enhance the versatility and user experience of MECFs. Intelligent voltage regulation systems capable of dynamically adjusting to input voltage and current changes will further optimize MECFs performance. Looking forward, MECF's application in healthcare monitoring, human-machine interaction, and smart homes showcases their immense potential when combined with IoT and AI technologies. Overall, future developments in material innovation, structural optimization, and power management are set to propel MECFs towards smarter, more flexible solutions, offering enhanced convenience and efficiency in wearable energy and sensing technologies.

      Research progress in deformable fiber/fabric smart materials
      WU Mengjie, XIA Yong, ZHANG Yufan, ZHOU Xinran, YU Jianyong, XIONG Jiaqing
      Journal of Textile Research. 2025, 46(05):  49-58.  doi:10.13475/j.fzxb.20241205002
      Abstract ( 152 )   HTML ( 19 )   PDF (6231KB) ( 85 )   Save
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      Significance Perceptive deformable smart materials, inspired by soft organisms, exhibit adaptive deformability and safety interaction superiorities. They can monitor and feedback environmental information or facilitate self-detection in real time, showing important application potentials in smart equipment, industrial production, daily life, environment and biomedicine, and so on. Flexible fibers possess high specific surface area and morphological superiority, which can be transformed into yarns, loops, and fabrics through textile processes, demonstrating high designability in structure, functions, mechanical properties and deformation capabilities, making them an ideal candidate for creating smart deformable materials. In recent years, tremendous efforts have been dedicated to the exploitation of fiber-based smart deformable materials. In particular, perceptive deformation fiber materials have attracted much research attention, promising the integration of deformation and sensing promoting the development of smart material in the fields of wearables, e-skins, soft robotics, military and aerospace.
      Progress In recent years, substantial progress has been achieved in the research of smart deformable fiber materials. These materials can respond to various environmental stimuli, such as humidity, heat, light, electricity, magnetism, and air pressure, thereby triggering actuations like contraction, expansion, bending, and rotation, and they are widely applied in multiple fields. In terms of actuation mechanisms, electrical actuation has gained considerable attention by virtue of its high controllability and rapid response. The carbon nanotube/polyaniline fiber actuator can operate in aqueous electrolytes at a low voltage of 2 V, demonstrating significant potential for use in implantable artificial muscles. Moisture actuation utilizes the hygroscopic properties of materials to achieve actuation. Light actuation relies on photothermal or photochemical effects to enable rapid and reversible deformations. The double-layered fiber membrane enables bidirectional bending in response to both light and humidity, exhibiting an ultrafast response rate and a substantial bending curvature. Magnetic actuation materials integrate magnetic particles or fibers, which enable complex deformations under magnetic fields.The magnetic coaxial fibers exhibit multifunctional motions, including crawling, walking, and swimming, when exposed to magnetic fields. Pneumatic actuation relies on external air pressure. The knitted pneumatic actuator can achieve complex movements with precise control. In terms of actuation-sensing integration, fiber actuators with integrated sensing functions can monitor environmental or self-states, thereby promoting the development of artificial muscles and soft robots. Furthermore, origami techniques have provided novel ideas for the design and functional expansion of actuators.
      Conclusion and Prospect Although certain achievements have been made in the research on perceptive deformable fiber/fabric materials, challenges remain in improving the response performance, stability/reliability, and application feasibility of the materials. Firstly, it is necessary to further explore and gain an in-depth understanding of actuation mechanisms, clarify the relationship between the micro and macro deformation performance of materials, and leverage simulation and machine learning technologies to improve macro deformation performance. Secondly, it is essential to enhance the deformation performance and long-term stability of materials through material and structural innovations, as well as intelligent encapsulation technologies, so as to improve their reliability in harsh environments. Finally, facilitating module/function integration and large-scale manufacturing by weaving high performance fibers/yarns with textile engineering technologies would be a promising solution to address these concerns and advance the field of intelligent deformable materials. In the future, fiber/fabric based smart deformation materials are expected to be widely used in responsive smart devices and equipment, serving applications in soft robotics, wearables, rehabilitation assistance, bio-health, military equipment, aerospace, smart industry, and smart agriculture, among other fields.

      Research progress and prospects of fiber-shaped aqueous zinc-ion batteries
      HAN Lijie, LIU Fan, ZHANG Qichong
      Journal of Textile Research. 2025, 46(05):  59-69.  doi:10.13475/j.fzxb.20241104702
      Abstract ( 128 )   HTML ( 3 )   PDF (6550KB) ( 81 )   Save
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      Significance Fiber-shaped aqueous zinc-ion batteries (FAZIBs) are crucial for the advancement of smart fiber materials and wearable devices. Their flexibility and safety make them ideal candidates for integration into textiles necessitating energy storage solutions. Zinc, being abundant and non-toxic, offers an environmentally friendly alternative to conventional lithium batteries. FAZIBs successfully address the limitations of conventional batteries, particularly with respect to flexibility and integration capabilities. As the market for wearable devices expands, there is an increasing demand for compact and flexible energy storage systems. The development of FAZIBs not only propels energy storage research forward but also unlocks new opportunities for smart textiles. Their durability in various conditions, including bending and extreme temperatures, gives them a significant advantage for practical applications. Consequently, FAZIBs demonstrate substantial potential for future use in wearable electronics and smart fabrics.
      Progress The development of FAZIBs has advanced significantly in recent years, driven by innovations in materials science and fabrication techniques. A critical area of progress has been the optimization of zinc storage mechanisms within the fiber-based architecture. Various material selections, including manganese-based compounds, vanadium-based materials, Prussian blue analogs, and organic substances, have demonstrated potential in enhancing battery performance. These materials affect important performance parameters such as energy density, cycling stability, and charge/discharge rates. Additionally, the choice of electrode fabrication technique has emerged as a vital factor that has undergone substantial development. Techniques such as in-situ growth, surface coating, and wet spinning facilitate improved control over the structure and performance of fiber electrodes, thereby enhancing battery efficiency. Furthermore, advancements in device configurations, parallel, twisted, and coaxial, have contributed to increased stability, scalability, and integration into wearable devices. The progress achieved in these areas brings FAZIBs closer to commercial viability.
      Conclusion and Prospect Despite the significant progress in FAZIBs development, challenges remain to be addressed for their widespread application in smart wearable textiles. Key challenges include enhancing energy density, extending battery life, and improving the stability and scalability of the devices. While current materials show promising performance, the need for higher energy density and longer-lasting batteries remains a critical focus for researchers. Furthermore, the development of large-scale production methods for FAZIBs is essential to facilitate their commercial viability. Looking to the future, the priority will be to improve the efficiency of both the materials and fabrication techniques. A focus on sustainable, high-performance materials and cost-effective manufacturing processes will be essential in driving FAZIBs toward practical use in wearable devices. As these challenges are addressed, FAZIBs will likely play an integral role in the next generation of smart textiles, contributing to the creation of fully integrated, functional, and energy-efficient wearable technology.

      Research progress in conductive fibers for electrophysiological signal monitoring
      ZHANG Zeqi, ZHOU Tao, ZHOU Wenqi, FAN Zhongyao, YANG Jialei, CHEN Guoyin, PAN Shaowu, ZHU Meifang
      Journal of Textile Research. 2025, 46(05):  70-76.  doi:10.13475/j.fzxb.20241204502
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      Significance Physiological electrical signals reflect electrical activities generated by cells or tissues within the body indicating the functional status of organs and tissues. The accurate recording and analysis of these signals play a crucial role in the diagnosis, monitoring, and treatment of various diseases. Advancements in medical diagnosis and treatment, particularly in the fields of brain neurology, sports science, and cardiac health, have propelled physiological signal monitoring to the forefront of current research. Furthermore, developments in materials science and fabrication techniques have significantly enhanced electrode materials used for signal acquisition. In order to achieve high signal-to-noise ratios and superior spatiotemporal resolution, it is crucial to optimize the structural and functional properties of neural electrodes. Conductive fibers possess several advantages, including light weight, high specific surface area, structural designability, and excellent conductivity. These properties make them ideal for monitoring physiological electrical signals, thereby garnering significant attention in the field of biomedical applications.
      Progress This review is based on the advancements in materials science and preparation technologies. It summarizes the research progress of inorganic conductive fibers, organic conductive fibers, and organic/inorganic hybrid conductive fibers in terms of formation methods and physicochemical properties. Compared with conventional metal-based or silicon-based physiological electrodes, conductive fibers exhibit superior performance by providing clearer and more stable electrophysiological signals, attributed to their high sensitivity, light weight, and high degree of customization. Therefore, in the design of conductive fibers, current research trends are progressively shifting towards multi-component and multi-structure systems. For instance, by integrating the functional and structural advantages of organic materials (such as polymers) with those of inorganic materials (such as metals, metal oxides, graphene, etc.), these advanced designs aim to better address the requirements of practical applications.
      Furthermore, this review comprehensively evaluates the monitoring capabilities and applicability of conductive fibers in various scenarios for physiological signals, including electrocardiograms, electroencephalograms, and electromyograms, both invasive and non-invasive monitoring and recording. Non-invasive electrodes adhere to the skin surface to continuously detect and record physiological signals over extended periods. In contrast, invasive electrodes require implantation within the body to directly contact nerve tissues or individual neurons, enabling more precise monitoring and recording of electrophysiological activities in specific tissues or organs. However, this also imposes more stringent requirements on the biocompatibility of conductive fibers. Through flexible structural design and multi-functional integration, conductive fibers can be optimized as an ideal choice for physiological monitoring applications.
      Conclusion and Prospect This review provide an outlook on the current challenges and future development directions of conductive fibers, offering valuable insights into the structural and functional design of conductive fibers for high-precision signal acquisition and their medical applications. With advancements in materials science and nanotechnology, conductive fibers for physiological signal monitoring are poised to drive the development of wearable technologies and implantable medical devices. Furthermore, conductive fibers are expected to play an increasingly critical role in telemedicine, personalized health management, and neuroscience research.

      Research progress of electrode and device fabrication of textile lithium batteries
      JIANG Yalong, LI Gege, XUE Lu, CHENG Yu, YANG Yingkui
      Journal of Textile Research. 2025, 46(05):  77-88.  doi:10.13475/j.fzxb.20250100402
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      Significance Wearable electronics have broad application prospects in the fields of medical health, sports monitoring and human-machine interaction, and long-term and stable energy supply is the key to realizing their functions. One of the key factors in achieving high-performance electronic fabrics is a reliable wearable power source. While research on flexible energy storage systems is rapidly growing, although research on flexible energy storage systems is rapidly advancing, studies specifically focused on textile lithium batteries remain limited. Textile lithium batteries combine the structural diversity, wearability, mechanical flexibility, and lightness of textiles with the high energy density and long service life of lithium batteries, and can be highly integrated with various components, becoming one of the most important energy supply devices. The development of high-performance textile lithium batteries made of fibers, yarns and fabrics is of great significance to promote the development of efficient electronic textiles.
      Progress Textile lithium batteries have attracted extensive attention as a key direction in the development of flexible energy storage devices. Current research primarily focuses on device architecture, electrochemical mechanisms, material fabrication strategies, and system integration technologies. Based on battery types, textile lithium batteries can be categorized into textile lithium-ion batteries, lithium-air batteries, and lithium-sulfur batteries. Each type exhibits distinct construction approaches and reaction mechanisms when integrated with textile substrates, making them prominent research hotspots. In terms of electrode fabrication, various strategies have been developed to accommodate the flexibility, porosity, and weaveability of textile substrates. These strategies mainly include material coating, material printing, in-situ material growth, and spinning-based fabrication. Regarding device assembly, textile lithium batteries are generally classified into one-dimensional (1-D) fiber-type and two-dimensional (2-D) fabric-type configurations. Although fiber-type batteries are readily incorporated into woven structures, they often suffer from large diameters, complex layered architectures, and high mechanical modulus, making it difficult to simultaneously achieve softness and compactness. To address this, two representative strategies have been proposed to transition from 1-D fiber-type to 2-D textile-type batteries: (1) sewing fiber-type batteries into existing fabrics; and (2) weaving fiber batteries into loose fabric structures. To achieve continuous power supply, recent efforts have extended toward integrating textile batteries with energy harvesting devices, such as triboelectric nanogenerator (TENG) fabrics and flexible solar cells, thereby enabling the construction of self-powered textile systems. Moreover, challenges related to flexibility, stretchability, and washability remain critical issues for textile batteries. Current research has proposed several solutions, including interfacial engineering, structural optimization, and multifunctional coatings, to address these limitations and enhance practical applicability.
      Conclusion and Prospect This review provides a comprehensive overview of the latest research advancements in textile lithium batteries based on textile substrates and outlines the following prospects. Future efforts are anticipated to focus on the controlled growth of active materials and the optimization of electron/ion transport to further enhance the electrochemical performance of textile batteries. Besides, the development of flexible, stretchable, and washable textile electrodes, mechanically robust solid-state electrolytes, and advanced encapsulation strategies, along with the integration of textile fabrication technologies, will be essential for realizing practical and scalable textile energy storage systems. These strategies will contribute to improving the long-term reliability and practical performance of textile lithium batteries.

      Research progress and prospects in fibers and fabric-based electrochemical sensing and aqueous batteries for smart textiles
      LIANG Qimin, YAN Zhuojun, LI Changxin, LIU Zhifeng, HE Sisi
      Journal of Textile Research. 2025, 46(05):  89-95.  doi:10.13475/j.fzxb.20241204902
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      Significance Medical health is essential for human life, and sweat's chemical substances reflect health conditions. Wearable electrochemical sensors based on sweat enable continuous, hospital-free health monitoring. Integrating sensors into fabrics maintains permeability, flexibility, and data accuracy. Reliable flexible power supply units, such as aqueous fabric batteries, ensure stable sensor operation. This integration fosters the development of convenient, comfortable, and non-invasive medical monitoring.
      Progress Fabric, with its stretchability and permeability, is an ideal material for wearable electrochemical sensors to monitor sweat, detecting electrolytes, metabolites, and hormones. There are two methods for constructing electrochemical sweat-sensing fabrics: fiber-based, where sensors are seamlessly integrated into the fabric through techniques like weaving and sewing, offering flexibility, bendability, and high adaptability; and fabric-based, which is compatible with conventional processing techniques and suitable for mass production. Additionally, matching flexible power supply units is essential. Aqueous electrolytes are safer and more suitable for wearable batteries than organic ones, though they do not fully solve leakage problem. Gel-state electrolytes, with their safety and stretchability, offer unique advantages for flexible batteries. Future research should address the interface between gel-state electrolytes and electrodes for stable power supply in fabric-based sensors.
      Conclusion and Prospect Reported studies have optimized material selection and fabrication methods, using fibers or fabrics as electrochemical sensing platforms to achieve a more comfortable, convenient, and non-invasive healthcare experience. In future development, the following five aspects should be emphasized: 1) The lightweight design of smart fabrics: developing manufacturing processes capable of efficient integration. 2) Sensitivity and selectivity of sensing fabrics: improving sensitivity and selectivity by optimizing materials, enhancing biomarker targeting, and refining manufacturing processes. 3) The energy density of flexible aqueous batteries: improving energy density by material innovation and electrolyte optimization. 4) Data accuracy: combining smart fabrics with AI to optimize data analysis. 5) Long-term stability: developing fiber-based substrates and active materials with strong interfacial interaction forces.

      Research progress in radiative thermal management fabrics and their infrared spectral design
      YU Shixiong, LIN Cantian, ZHU Shuntian, HU Hongxia, GAO Yanfeng, MA Rujun
      Journal of Textile Research. 2025, 46(05):  96-104.  doi:10.13475/j.fzxb.20241200602
      Abstract ( 124 )   HTML ( 5 )   PDF (8750KB) ( 69 )   Save
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      Significance Maintaining personal thermal comfort is crucial to personal health. Current thermal management technologies including heating, ventilation and air conditioning (HVAC) can satisfy thermal comfort by indirectly changing the ambient temperature. However, the substantial energy consumption and greenhouse gas emission make them difficult to meet the requirement of sustainable development. More importantly, the indiscriminate space thermal management technologies cannot meet the personal customized requirements. As a result, the concept of personal thermal management draws research attention, considering that human body is an excellent radiator. The personal thermal management fabrics can achieve local and efficient temperature control by regulating the heat transfer pathway between human body and environment (convection, conduction, radiation and sweat), avoiding massive electric energy wasting on space heating and cooling. The radiative thermal management fabrics can selectively regulate the absorption/reflection/transmission of solar and mid-infrared radiation, helping to maintain the thermal comfort of human body while substantially reduce the energy consumption of active heating and cooling. This thermal management strategy with zero energy consumption is of great significance for energy saving and carbon reduction.
      Progress At present, radiative thermal management fabrics can be roughly divided into radiative cooling fabrics, i.e. radiative heating fabrics and dual-mode radiative thermal management fabrics according to their spectrum design, and the radiative cooling fabrics can be divided into three categories, namely mid-infrared high transparency, mid-infrared selective emission and mid-infrared non-selective emission. For radiative-cooling fabrics, wearing such fabrics can greatly reduce the energy consumption of air conditioners while maintaining the same thermal comfort. Similarly, the radiative heating fabrics absorb solar energy while reducing the radiative heat dissipation of the human body, thus meeting the thermal comfort in the cold environment, and greatly reducing the energy consumption of active heating equipment. The dual-mode thermal management fabric overcomes the contradiction between the fixed spectral design and the dynamic environment, which is conducive to the adaptive thermal management.
      Conclusion and Prospect Although great progress has been achieved in the research of single mode or dual mode radiative thermal management fabrics, there are still some problems to be solved so as to bridge the gap between scientific research and practical application. (1) Neither single nor dual mode thermal management fabrics can achieve continuous adjustment of spectral emissivity/absorptivity, so they cannot achieve continuous temperature modulation, which is difficult to meet precise personal thermal comfort. (2) Large area preparation of radiative thermal management fabric is not equivalent to mass preparation. Therefore, the low-cost continuous fabrication of radiative thermal management fabric is of practical significance for its commercialization. (3) Considering that color is the inevitable requirement of the garment industry, the current radiative thermal management fabrics still face the contradiction between color and selective spectrum. Therefore, under the premise of meeting the requirement of selective spectrum, simplifying the preparation method and reducing the preparation cost are helpful to popularize the application of colored radiative thermal management fabrics. (4) The functional materials used in the radiative thermal management fabric reduce the wearing comfort. Thermal management performance and wearability should be considered at the same time in the design of fabrics.

      Research progress in intelligent textiles for firefighter's personal protective equipment
      LIU Ye, WANG Junsheng, JIN Xing
      Journal of Textile Research. 2025, 46(05):  105-115.  doi:10.13475/j.fzxb.20241204602
      Abstract ( 141 )   HTML ( 11 )   PDF (5305KB) ( 93 )   Save
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      Significance Firefighters on the frontline of rescue missions rely on personal protective equipment to protect them from the hazards of the harsh environment. As the diversity and complexity of rescue scenarios increase, there is a growing demand for personal protective equipment to offer multifunctionality beyond basic protection. Intelligent textiles, which combine the comfort of traditional textiles with the intelligence of electronic devices, have become a research focus in recent years and are widely applied across various fields. Integrating intelligent textiles into firefighter's personal protective equipment is expected to significantly enhance safety protection and improve rescue efficiency. The research progress in intelligent textiles used in firefighter's personal protective equipment is reviewed, aiming to inspire the relevant research and facilitate the translation of research findings into practical applications.
      Progress In order to develop intelligent textiles for firefighter's personal protective equipment, various flame-retardant fibers and functional nanomaterials have been adopted. Different manufacturing processes, such as wet spinning, printing, and coating, are employed to construct one-dimensional (1-D) fiber/yarn, two-dimensional (2-D) fabric/film, and three-dimensional (3-D) braid architecture/aerogel block type intelligent textiles. The development of these intelligent textiles mainly focuses on the actual demands of thermal management, energy conversion and storage, and sensing response. Passive radiative cooling, phase change materials, and shape memory materials are widely adopted to improve the comfort and thermal protection of firefighters. In terms of energy conversion, triboelectric nanogenerators and thermoelectric devices are adopted to collect human body and environmental energy to generate electricity. Many researches focus on material combination and structural optimization to improve the performance and stability of devices in high-temperature environments. Regarding flexible energy storage devices, the modification of flexible electrodes and gel electrolytes allows supercapacitors and lithium-ion batteries to be well integrated into intelligent textiles. In addition, textiles-based sensors with various functions have been developed, such as temperature sensing, high-temperature warning, human motion state recognition, and environmental condition monitoring. Researchers are also focusing on developing the self-powered and multifunctional coupled sensors. These functional textiles are strategically integrated into firefighter's personal protective equipment-including clothing, gloves, and boot-through advanced techniques such as interwoven structures, multilayer lamination, and precision stitching. The advanced personal protective equipment demonstrates good performance, which is expected to significantly improve firefighter safety in high-risk environments.
      Conclusion and Prospect The integration of intelligent textiles into firefighter's personal protective equipment has been well demonstrated in different scenarios. Considering the harshness of the firefighter rescuing environment, there are higher demands for the stability and durability of intelligent textiles. At present, research has focused on developing various intelligent textiles with different structures to improve performance, but still many challenges should be overcome when it comes to practical applications. Major limitations include: (1) Insufficient temperature regulation capacity of thermal management systems, where phase change materials face leakage risks and shape memory materials exhibit delayed responsiveness; (2) limited energy conversion efficiency and compromised durability of wearable energy devices in extreme temperatures; (3) multifunctional sensing textiles struggle to achieve simultaneous high sensitivity and reliable signal discrimination under complex interference. Addressing these issues requires innovative approaches integrating hierarchical material design, hybrid energy systems, and AI-enhanced adaptive algorithms to advance next-generation intelligent textiles. Besides, it is necessary to explore the effective integration of intelligent textiles with firefighter's personal protective equipment in combination with ergonomics. Considering the long-term and frequent use of personal protective equipment, it is also critical to pay attention to the impact of washing, aging, and other conditions on performance. Furthermore, establishing standard evaluation methods of various intelligent textiles will be helpful to compare the different functional devices, thereby improving their reliability and efficiency in the practical application. In short, extensive and in-depth research of intelligent textiles will promote the upgrade of firefighter's personal protective equipment, which will play a more important role in firefighting rescue operations.

      Fiber Materials
      Preparation and degradation performance of silk fibroin/chitosan/gelatin embolic microspheres
      LI Pengfei, LUO Yixin, ZHANG Zifan, LU Ning, CHEN Biling, XU Jianmei
      Journal of Textile Research. 2025, 46(05):  116-124.  doi:10.13475/j.fzxb.20240700101
      Abstract ( 107 )   HTML ( 5 )   PDF (23930KB) ( 31 )   Save
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      Objective Embolic microspheres with varying degradation rates are better suited for personalized treatment protocols, considering different tumor types, stages, and treatment approaches. In order to achieve controlled degradation in embolic microspheres, the distinct degradation properties of silk fibroin, chitosan, and gelatin were utilized to design and fabricate microspheres with precise degradation profiles and rates.
      Method Embolic microspheres were prepared using a two-step emulsification method. The extreme vertex method in material mixing design was employed to obtain silk fibroin/chitosan/gelatin (SF/CS/GEL) microspheres with varying component ratios. Regression equations were established, and mixed contour maps were drawn to reflect the specific degradation mass residual rate of the microsphere components in the presence of different enzymes after 21 d.
      Results The photos of embolic microspheres from three orthogonal experiments were utilized to assess the roundness and adhesion levels, and the results were subjected to analysis of variance so as to determine the optimal process conditions. SEM images showed that the SF/CS microspheres had a porous surface while retaining a generally spherical shape. The SF/CS/GEL microspheres exhibited improved roundness, with smoother surfaces and smaller pore sizes as the gelatin content increased. Infrared spectroscopy analysis demonstrated that the silk fibroin structure transformed from random coiling to β-pleated sheets during microsphere formation. The aldehyde groups of glutaraldehyde reacted with amino groups on silk fibroin, chitosan, and gelatin, forming Schiff bases, with significant hydrogen bonding interactions observed between the three matrix materials. Thermogravimetric analysis indicated that the thermal stability of SF/CS and SF/CS/GEL microspheres significantly surpassed that of the individual materials, suggesting structural changes due to crosslinking agents during microsphere formation. Regression analysis was performed on the mass residual rate of the microspheres after 21 d of degradation in relation to the proportions of silk fibroin, chitosan, and gelatin, resulting in a fitted regression equation. The mixed contour map of mass residual rates was adopted to analyze the trends in the mass residual rates of microspheres after 21 d of degradation, correlating with varying component proportions.
      Conclusion Optimal preparation conditions were determined through orthogonal experiments with varying ratios of silk fibroin and chitosan, resulting in spherical, round, and well-dispersed microspheres. The regression equations for degradation rates of various formulations across three enzyme systems exhibited significant goodness of fit, enabling the prediction and design of degradation performance for embolic microspheres with different ratios. This approach offers a method and theoretical foundation for achieving controlled degradation of embolic microspheres.

      Preparation and performance of aramid nanofibers/MXene coaxial fiber electrodes
      SUN Jie, GUO Yuqing, QU Yun, ZHANG Liping
      Journal of Textile Research. 2025, 46(05):  125-134.  doi:10.13475/j.fzxb.20240503701
      Abstract ( 130 )   HTML ( 10 )   PDF (9625KB) ( 18 )   Save
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      Objective MXene and aramid nanofibers (ANFs) have similar surface polarity and good compatibility. Preliminary experiments show that with an optimal blend ratio of ANFs to MXene, excellent wet spinning processability and good conductivity can be achieved. When the mass ratio of ANFs to MXene is 1:4, the conductivity of A1M4 (with a mass ratio of ANFs to MXene at 1:4)composite fibers produced by wet spinning can reach 3 145.82 S/m. However, the fiber strength is not yet ideal for practical applications. Coaxial wet spinning has better designability compared to the conventional wet spinning. In order to fully leverage the advantages of the excellent skeleton reinforcement performance of ANFs, further balance the contradiction between the electrical and mechanical properties of ANFs/MXene fibers, and to improve the comprehensive performance of fiber electrodes, 1:4 blend ratio of ANFs to ANFs/MXene was adopted to prepare single (core/shell) layer materials, through adjusting the distribution position and concentration of ANFs reinforced skeleton by wet spinning forming method. A flexible fiber electrode with excellent mechanical and electrochemical comprehensive properties was designed and prepared, aiming for applications in the field of flexible supercapacitor energy storage.
      Method A series of coaxial fiber electrodes was designed and parepared using the wet spinning method. By systematically analyzing the microscopic physical and chemical structures, mechanical properties, electrical and electrochemical properties of various coaxial fiber electrode samples, the feasibility of this technology approach in designing and preparing flexible fiber electrodes was explored.
      Results For A-AM (coaxial fibers with ANFs as shell layer and ANFs/MXene composites as core layer) coaxial fibers, by adjusting the concentration of shell ANFs, it was found that when increasing the concentration of shell ANFs, the compactness of the shell aggregation structure was increased, the mechanical strength was improved, but the conductivity was decreased. Among them, the sample A-0.7-AM (coaxial fiber with a concentration of shell ANFs at 0.7%) demonstrated that failure strength and modulus reached 98.57 MPa and 5.25 GPa, respectively, which are 99.37% and 15.89% higher than those of A1M4 composite fibers. As for A-AM coaxial fibers, ANF fiber bundles were found partially "overflowing" to the shell layer in all samples, which blocked the AM conductive pathway in the shell layer to a certain extent. The conductivity was reduced to varying degrees compared to A1M4 composite fibers, but it was indeed beneficial for improving mechanical strength. Among them, the mechanical strength and modulus for AM-A-1.5 (coaxial fiber with a concentration of core ANFs at 1.5%) were 110.98 MPa and 5.28 GPa, respectively, representing an increase of 124.47% and 16.53% compared to A1M4 composite fibers. The electrochemical performance tests indicated that at a current density of 0.2 A/g, the specific capacitance is the most prominent for sample A-0.5-AM (coaxial fiber with a concentration of shell (ANFs at 0.5%), reaching 310.59 F/g. Sample AM-A-1.5 exhibited battery type electrode characteristics, with a specific capacitance of up to 120.10 F/g.
      Conclusion A series of coaxial fiber electrodes were prepared using AM blends with a ratio of 1:4 of ANFs to ANFs/MXene as single (core/shell) layer materials. By adjusting the distribution position and concentration of ANFs reinforced skeleton, the synergistic effect of the materials was well exerted, balancing the contradiction between mechanical, electrical, and electrochemical properties, and demonstrating good application prospects.

      Fabrication and oil-water separation efficiency of cellulose/methyltrimethoxysilane aerogel
      WANG Wei, GAO Jiannan, PEI Xiaohan, LU Xin, SUN Yinyin, WU Jianbing
      Journal of Textile Research. 2025, 46(05):  135-142.  doi:10.13475/j.fzxb.20240404401
      Abstract ( 164 )   HTML ( 5 )   PDF (11723KB) ( 38 )   Save
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      Objective In order to solve water pollution problem caused by lipids and coloring substances, cellulose nanofibers (CNF) is employed as the substrate material, and CNF aerogels are utilized as carriers for hydrophobic modification to prepare highly elastic cellulose nanofiber aerogel (CNF-Xs) with excellent oil absorption properties for practical applications.
      Method Cellulose nanofibers were selected as the substrate material, with a low dosage of the hydrophobic component methyltrimethoxysilane (MTMS) serving as the modifier. Utilizing a freeze-drying method, low-cost and high-performance hydrophobic-oleophilic cellulose nanofiber aerogels were fabricated, and the oil-water separation performance and mechanical properties of these aerogels were characterized. Furthermore, the relationship between the dosage of MTMS and micro-morphology, chemical structure, surface roughness, and compressive properties of the aerogels were explored. The influences of MTMS incorporation on the properties of the aerogels was investigated, so as to guide the development of highly elastic CNF-based aerogels with superior oil absorption capabilities for practical applications.
      Results The CNF-Xs aerogel was found to feature a three-dimensional network skeleton composed of microfibers and nanofibers, exhibiting an orderly layered structure and porous cellular architecture. The results showed that these structural characteristics endowed the aerogel with an ultra-low density of 0.08 g/cm3 and superior structural stability, which was recoverable from deformation even at a strain as large as 80%, demonstrating good compressive properties. The aerogel exhibited an absorption capacity of 39.41 g/g for hexane stained with Oil Red and maintained an ultra-high separation efficiency of 98% after 10 cycles of use. Additionally, the siloxane network structure of MTMS provided the CNF-Xs aerogel with exceptional hydrophobicity. Even at a low dosage (the molar ratio of CNF and MTMS is 1:3), the water contact angle of the composite aerogel reached 133°.
      Conclusion Using cellulose nanofibers as the raw material and the hydrophobic component MTMS as the modifier, hydrophobic and oleophilic CNF-Xs were successfully prepared through a green and low-cost one-step process under conditions of low MTMS dosage. The water contact angle of the CNF-Xs reached 133° (the molar ratio of CNF and MTMS is 1:3), and they exhibited excellent oil-selective adsorption properties. MTMS enhances the elastic potential energy of CNF-Xs through its hydrolysis, condensation, and crosslinking to form a three-dimensional network structure, which results in good mechanical properties even at a strain of 80%. After 100 cycles, the retention rates of the maximum relative height and maximum stress are above 90% and 73%, respectively, indicating high structural stability. The CNF-Xs can recover to their original height within 3 s after removing external strain, demonstrating excellent compressive performance and mechanical strength. The adsorption capacity of CNF-Xs for cyclohexane, n-hexane, hexadecane, and edible oils ranges from 17.82 to 39.41 g/g, exhibiting high efficiency in adsorbing oily dyes. After 10 oil-water separation cycles, the oil-water separation efficiency remains above 98%. The aerogel not only has a simple preparation process and low raw material cost but also exhibits excellent performance in treating oily dye wastewater.

      Preparation of alizarin-polylactic acid/collagen nanofiber membrane and its ammonia detection performance
      SHI Xiaocong, CHEN Li, DU Xun
      Journal of Textile Research. 2025, 46(05):  143-150.  doi:10.13475/j.fzxb.20240506101
      Abstract ( 101 )   HTML ( 10 )   PDF (8903KB) ( 33 )   Save
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      Objective Ammonia is a common toxic gas, widely existing in industrial, agriculture and living environment. Because of the strong corrosive and irritating nature of ammonia, it is a serious threat to human and animal life and health. Therefore, it is particularly important to develop a new type of testing material which is simple in operation, low in cost, and capable of achieving real-time non-destructive testing with visual characteristics.
      Method An alizarin-PLA/Col nanofiber membrane was prepared by electrospinning using alizarin as probe and polylactic acid (PLA) and collagen (Col) as substrate. By means of UV-Vis spectrophotometer, scanning electron microscope, differential scanning calorimeter, X-ray diffractometer and contact angle measuring instrument, the color change of the probe and the micro-morphology and chemical composition of the nanofiber membrane were characterized, and the thermal stability, hydrophilicity, degradability, ammonia detection performance and repeatability of the nanofiber membrane were investigated.
      Results Alizarin solution was adopted to produce different color changes under different pH conditions, and was used as a probe for ammonia detection. The addition of alizarin demonstrated no significant effect on the appearance of nanofibers, which have average diameter of about 190 nm, and are straight and evenly distributed in fineness. Infrared spectroscopy showed that compared with the PLA/Col nanofiber membrane, a new absorption peak appeared in the alizarin-PLA /Col nanofiber membrane at 896 cm-1 because of the addition of alizarin, proving the successful dopping of alizarin into the nanofiber membrane. According to thermal performance analysis, the melting temperature of alizarin-PLA/Col nanofiber membrane was 341.2 ℃, indicating that the nanofiber membrane has good thermal stability in normal temperature environment. XRD analysis of alizarin-PLA/Col nanofiber membrane showed that the characteristic peaks of alizarin molecules did not appear in the alizarin-PLA/Col nanofiber membrane, indicating either that alizarin was uniformly dispersed in the nanofiber membrane or that alizarin was fully dissolved in the spinning solution, resulting in the disappearance of the original crystallization of alizarin. After addition of alizarin, the contact angle of the nanofiber membrane in water did not change obviously, suggesting that the addition of alizarin did not affect the hydrophilic and hydrophobic properties of the nanofiber membrane. With the increase of ammonia concentration, the color of the nanofiber membrane changes from yellow to red and finally to purple. Alizarin PLA/Col nanofiber membrane demonstrated a good performance of repeated detection of ammonia gas and reusability. In practical applications, the color of alizarin PLA/Col nanofiber membrane for the detection of fish body would visually change with time, and this meets the requirement of detecting the freshness of fish body. The addition of Col improved the hydrophilicity of the nanofiber membrane. The nanofiber membrane is self-degradable and hence environmentally friendly.
      Conclusion Alizarin can be used as a probe for the detection of ammonia, which is easily combined with water and is weakly alkaline. The color of alizarin solution changed from light yellow to pink when the pH value was 6-7. With the increase of pH value, the color of alizarin solution gradually deepened, from pink to purple. With the increase of ammonia concentration, the color of the alizarin-PLA/Col nanofiber membrane can be changed from yellow to pink to purple, and the detection performance is good. Alizarin-PLA/Col nanofiber membrane has good biodegradability and will not pollute the environment after waste.In practical application, nanofiber membrane can also meet the freshness detection of fish.

      Textile Engineering
      Color prediction method of triple-weft fabric with full-color compound structure
      ZHANG Aidan, WANG Qian
      Journal of Textile Research. 2025, 46(05):  151-158.  doi:10.13475/j.fzxb.20240500601
      Abstract ( 120 )   HTML ( 3 )   PDF (4139KB) ( 10 )   Save
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      Objective In order to solve the problem that the existing color prediction methods for woven fabrics cannot meet the color prediction requirements of jacquard fabrics with high warp and weft density, a color prediction method is proposed, which can not only reflect the characteristics of the interwoven structure of the fabric, but would also take into consideration of the deformation of the yarn and the shaded relationship formed by the microscopic three-dimensional structure of the fabric.
      Method Through the color separation of the color fabric images, four types of characteristic patterns were utilized to reflect each color weft, warp, shadows on the fabric surface, and the textures of the yarn materials were obtained, respectively. Based on calculating the area ratio of four characteristic patterns, the color reassignment was carried out, and then the color prediction model of the fabric was constructed by the Lab proportional addition method. The predicted and the measured values of fabric samples were calculated for brightness difference, red-green difference and yellow-blue difference, respectively, and then the ridge regression algorithm was adopted to correct the deviation of the three sets of data on color difference. The processed color difference value was taken as the dependent variable, the area rate of the four characteristic patterns was taken as the independent variable, and the linear regression model between the two was re-established to complete the optimization of the prediction model.
      Results Three groups of red, yellow and blue gradient-changing fabric samples based full-color compound structure with triple-weft were designed and woven, and all 14 fabric samples prepared were measured by spectrophotometer to collect color data as the basis for testing and evaluating the prediction model. The color prediction accuracy of the basic prediction model and the optimized model was compared and analyzed, and it was found that the mean of the total color difference between the optimized predicted value and the measured value was decreased from 2.01, 2.28 and 2.49 to 0.56, 0.52 and 0.60, respectively, which proved that the optimization method had a significant improvement effect. The predicted value and the measured value were analyzed by item fitting, and the prediction accuracy of L value was found the most stable among the three parameters, while a value and b value were determined according to the specific situation. The red group had the smallest difference in a value, followed by L value and b value. A significant difference existed in a value in the yellow group, while there was a small difference in L value and b value. The fit degree of a value and L value in the blue group was better, and the difference in b value was significant. By comparing the above experiment results with the color values of the three color wefts, it was found that the prediction model was sensitive to the quantity of color components of the fabric samples, and the higher the quantity of a certain color component, the more accurate the prediction. Consequently, the color prediction data of the proposed method, the geometric model method and the image color averaging calculation method are analyzed and compared. The results showed that the proposed method was the most accurate in prediction for all of the fabric sample groups, followed by the color averaging method, while the worst was the geometric model method. Compared with the other two methods, the mean total color difference of the proposed color prediction method is reduced by 92.09% and 89.35%, respectively, demonstrating higher color prediction accuracy.
      Conclusion The prediction model proposed establishes a clear correspondence with the fabric research object in terms of interweaving structural characteristics and yarn color. By overcoming the problem that the geometric model method cannot reflect the yarn deformation, and the low correlation between the color average calculation method and the structural characteristics of woven fabrics, this paper provides a reliable method for the color prediction of fabrics with high warp and weft density, and provides a new idea for the design and research of color prediction models.

      Object detection of weaving fabric defects using frequency-domain convolution modules
      GU Mengshang, ZHANG Ning, PAN Ruru, GAO Weidong
      Journal of Textile Research. 2025, 46(05):  159-168.  doi:10.13475/j.fzxb.20240407501
      Abstract ( 162 )   HTML ( 3 )   PDF (5589KB) ( 28 )   Save
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      Objective This study aims to developing an advanced frequency-domain convolution module to overcome the limitations in texture recognition and feature representation in textile defect detection. By effectively integrating two-dimensional Fourier transform with conventional convolution, this research harnesses the periodic characteristics of fabric images, decouples global and local features, and enhances the model's ability to represent textile image features. The importance and necessity of this study arise from the need for more efficient and accurate textile quality control.
      Method Combining theoretical models with empirical methods, the proposed approach integrates the advantages of two-dimensional Fourier transform with deep learning. A specialized frequency-domain convolution module was designed specifically for textile image defect detection and applied within the YOLOv5 object detection framework. This study explores the application of image frequency-domain representation in textiles, using frequency-domain convolution to enhance the global receptive field, improve model performance, and ensure computational efficiency. By organically combining large and small kernel convolution techniques, the model architecture is optimized to decouple local and global feature processing, enhancing the analysis process of textile image features. By incorporating prior experience, the representation of frequency-domain features is optimized, improving the model's interpretability, reducing the learning burden, and enhancing feature expression capabilities. Additionally, an attention mechanism component designed for frequency-domain features is implemented to optimize the extraction of these features.
      Results It demonstrates the performance enhancements achieved by different models in textile defect detection across various datasets. The models integrating frequency-domain convolution have shown significant improvements, especially in more complex datasets. For instance, the proposed model 1 displayed performance increments in mAP50 (mean average precision at an IoU threshold 50%) by 1.5%, 5.0%, 11.9%, and 16.3% and in mAP75 (mean average precision at a stricter IoU threshold of 75%) by 6.8%, 19.1%, 28.9%, and 32.9% across the datasets, indicating the effectiveness of incorporating frequency-domain convolution to address the challenges in textile image processing. This method leverages the global receptive field and decouples global and local features, thereby enhancing the model's capability to process diverse fabric types and defect patterns effectively. Additionally, the proposed model 1 showed superior detection speed (189.1 frames per second) compared to the baseline YOLOv5 model (158.7 frames per second), confirming that the computational efficiency of frequency-domain convolution excels in shallow network layers because of faster matrix multiplication speeds, despite a decrease in efficiency in deeper layers where Fourier transformations become costly. This structure proves particularly advantageous for textile defect detection, where the complexity and variety of fabric types and defects require robust and adaptable models.Extensive ablation experiments were conducted to validate the efficacy of the frequency-domain convolution module (FFC-tex), specifically optimized for textile image processing. In ablation model 1, a pure convolution module with an FFC structure was adopted to replace the FFC-tex module to isolate the impact of the feature crossover structure. Ablation model 2 integrated the complete original FFC module to confirm the effectiveness of frequency-domain convolution. In ablation model 3, frequency-domain features were restructured, including the decoupling of amplitude and phase features and the creation of frequency distribution and waveform orientation maps, so as to validate the effectiveness of these components. Ultimately, by comparing the proposed model 1 with the ablation model 3, the effectiveness of the introduced frequency-domain attention mechanism was examined. The significant improvements in mAP50 scores during the addition of these components underscore the necessity of each component in the FFC-tex module for enhancing model performance. The optimized FFC-tex module effectively utilizes the frequency-domain features of fabric images, showing notable improvements in precision and generalization capabilities compared to baseline and earlier ablation models, making it suitable for a variety of fabric types and defect patterns.
      Conclusion The YOLOv5 model is improved by integrating frequency-domain convolution, improving its generalization and robustness for textile defect detection. Frequency-domain convolution provides a global receptive field, allowing shallow network layers to utilize more contextual information and better understand complex structures. It simplifies computational complexity by transforming time-domain convolutions into element-wise multiplications in the frequency domain. The optimized FFC-tex module enhances feature extraction and generalization across fabric types, significantly boosting model performance in defect detection by decoupling local and global features.

      Design and mechanical performance of knitted artificial bladder for pressing urination
      DING Kai, FU Fen, ZHANG Zhixiang, YANG Yutong, LI Chaojing, ZHAO Fan, WANG Lu, WANG Fujun
      Journal of Textile Research. 2025, 46(05):  169-178.  doi:10.13475/j.fzxb.20240604901
      Abstract ( 125 )   HTML ( 5 )   PDF (12431KB) ( 6 )   Save
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      Objective This research aims to design a highly elastic knitted artificial bladder to overcome the limitations of current alien bladder implants, such as complex installation, more short-term complications, and demanding tissue engineering requirements. By employing spandex/polyethylene (PE) and spandex/polypropylene (PP) uniting with the polyurethane coating, the study seeks to enhance mechanical properties, durability, and pressure-controlled urination of the artificial bladder. The ultimate goal is to provide a more effective and reliable artificial bladder solution, thereby improving the quality of life of patients suffering from bladder resection.
      Method The study used knitting techniques to create highly elastic fabrics from spandex/polyethylene covered yarn and spandex/polypropylene covered yarn. These fabrics were then sewn into bladder shapes and coated with a waterborne polyurethane membrane to produce the spandex/PE artificial bladder (FE), spandex/PP artificial bladder (FP), and pure polyurethane artificial bladder (FM). The mechanical properties, including tensile strength, burst resistance, and abrasion resistance, were evaluated to investigate the influence of the coating process on their mechanical properties. Microscopy and contact angle measurements were adopted to analyze the surface characteristics, so as to optimize the design of artificial bladder. Finally, the artificial bladders underwent compression urination tests to identify the optimal pressure-responsive urination functionality.
      Results Under the microscope, spandex in the spandex/PE fabric exhibited a more compact loop structure compared to the spandex/PP fabric, with a smooth and flawless surface, making it more suitable to used as artificial bladders. Tensile tests showed that the knitted loop structure provided excellent elasticity to the artificial bladders. The FE achieved an elastic recovery rate of 92% at 100% elongation, outperforming both the FP and the FM. This high elasticity is because of the combined effect of the spandex core and polyurethane coating, which effectively disperses and absorbs stress during deformation. Burst tests further indicated a significant increase in the bursting strength of both FP and FE, with FE reaching a maximum of 74.71 N, an increase of 34.52% compared to the pre-coated fabric, demonstrating that the polyurethane coating significantly enhances the structural integrity. Rubbing tests showed that the coating process greatly improved the durability of the fabrics. The wear times of FP and FE increased by 6.15 and 6.27, respectively, compared to their pre-coated counterparts, confirming the protective role of the polyurethane layer. Surface analysis through contact angle measurements revealed that the coating process altered the fabric's surface properties, making the front side of the FE fabric hydrophilic (contact angle of 44.5°) and the back side hydrophobic (contact angle of 106.4°). This dual characteristic is crucial for preventing bacterial adhesion and maintaining urine flow. In compression urination tests, the FE bladder demonstrated superior performance, achieving the highest instantaneous flow under low pressure (125 mL/s under 3 N) and maintaining efficient urination control across varying pressures. The FP bladder performed best at high pressure, reaching the highest flow rate (289 mL/s under 9 N) but was less efficient under lower pressures. These findings suggest that the FE bladder offers a more balanced response across different pressure ranges, making it more suitable for practical applications.
      Conclusion The highly elastic spandex/polyethylene and spandex/polypropylene artificial bladders were prepared by virtue of the elastic adjustable and flexible deformation of the looped structure of the knitted fabrics. The waterborne polyurethane coating process successfully improved the mechanical properties of the artificial bladder and validated the feasibility of the pressure urination strategy. In practical applications, the spandex/polyethylene artificial bladder shows stable and efficient compression urination performance under various pressures. This highly elastic artificial bladder with compression urination function can provide a possible alternative treatment for bladder resection.

      Structure and heat-moisture properties evaluation of double-sided wool/polyester weft-knitted fabrics
      ZHU Menghui, GE Meitong, DONG Zhijia, CONG Honglian, MA Pibo
      Journal of Textile Research. 2025, 46(05):  179-185.  doi:10.13475/j.fzxb.20240406401
      Abstract ( 99 )   HTML ( 4 )   PDF (4131KB) ( 10 )   Save
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      Objective People need functional and close-fitting sportswear to enhance the sporting experience in different sports scenes and for individual needs. After sweating, cotton garments are slow to dry, chemical fiber garments are prone to sticky feeling, and single knitting fabrics made of profiled fibers have the problem of sweat return. Therefore, wool yarns and polyester filaments are knitted to develop a series of continuous and self-generated single-side moisture-transported fabrics, aiming for functionality and wearing comfort.
      Method In order to prepare the single-sided moisture transported function of the fabrics, 55.5 dtex (24 f) polyester yarns and 55.5 dtex (216 f) superfine polyester yarns, having a big difference in filament linear density, were selected, and two innovative structures with different loop heights and spacings were designed by using the differential capillary effect. On this basis, 192 dtex wool yarns were further introduced and seven fabrics were developed with different wool contents. Because of the differences in loop heights and yarn diameters, the fabric surfaces showed different concave-convex effects.
      Results With the increase in wool content, the moisture permeability of the fabric was increased, however, excessive wool content was found to cause hygroscopic expansion of wool, hindering the transfer of moisture and reducing the moisture permeability of the fabric. Wool-free fabrics had good moisture permeability, which was related to the fabric's loose structure and uniform pore distribution. The fabrics blister loop of process Ⅰ were knitted 2 apart from ground yarn loop 2 and the reverse loops were the same size, while process Ⅱ fabrics were knitted 1 apart and the reverse loops were not the same size. Process Ⅱ had a looser structure compared to process Ⅰ, with a uniform distribution of pores on the fabric surface, thus the air permeability of process Ⅱ fabrics was higher than that of process Ⅰ fabrics. Because moisture was absorbed and retained by wool after contacting with the inner layer of the fabric and diffusion to the outer layer was reduced, the moisture conductance of fabrics containing wool on both the front and back sides decreased as the wool content increased. The wool yarns were located in the outer layer, and the inner polyester filaments formed a wetting gradient with the outer wool yarns, which is favorable for moisture conduction. Fabrics with polyester filaments on both the inside and outside had better moisture transportation than other fabrics. The evaporation rates of all fabrics met the standard requirements (>0.18 g/h). Among them, wool-free fabric and fabric with a strip-convex structure dried faster. While the fabric had a higher wool content and a small area of the concave-convex unit, the evaporation rate was low. The horizontal wicking height of all fabrics was greater than the longitudinal one, with excellent moisture transfer capability. Staphylococcus aureus was selected as the test strain and fabrics containing wool yarn without post-treatment were found to be bacteriostatic. According to the above test results, the fuzzy comprehensive evaluation of fabrics was carried out. The results showed that the best overall performance was achieved with the wool-containing fabric with a strip-convex structure in process Ⅰ.
      Conclusion Double-knitting structures make it easier to achieve unidirectional moisture transfer. When the ratios of loop height (short front loop to long front loop to long reverse loop) is 1:2:4, the fabric structure is tight and the concave-convex effect is more obvious; when the ratios are 1:2:2 and 1:2:6, the fabric shrinkage decreases and the structure is loose. When knitting ground yarn loops and blister yarn loops in intervals of 1 to 1, the pores of the fabric are more and evenly distributed, which is conducive to the fabric's air and moisture permeability. The addition of wool improves the warmth properties of the fabric. Wool has strong moisture absorption and water retention capacity, in the fabric front and back involved in knitting, with the wool content increases, the fabric's unidirectional moisture conductivity decreases; only engaged in the front side of the knitting with the reverse polyester filament, a wetting gradient is formed, which is conducive to moisture conduction.The wool-containing fabric with a strip-convex structure has the best overall heat and moisture performance, indicating that the fabrics can be made functional and comfortable to wear through a reasonable selection of raw materials and the design of a concave-convex structure.

      Dyeing and Finishing Engineering
      Aromatic primary amination modification of mercerized wool and its room temperature diazo coupling staining
      ZHU Daquan, CUI Zhihua, GAO Pu, ZHU Jie, ZHANG Bin, ZHU Yuewen, CHEN Weiguo
      Journal of Textile Research. 2025, 46(05):  186-194.  doi:10.13475/j.fzxb.20240801401
      Abstract ( 160 )   HTML ( 6 )   PDF (6189KB) ( 30 )   Save
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      Objective Aiming at many deficiencies in wool dyeing technology, such as the complex conventional dyeing process, high energy consumption, and harsh reaction conditions, a new type of mercerized wool reactive dyeing technology is developed. First, isatoic anhydride is adopted to perform aromatic primary amination modification on mercerized wool. Then, azo pigments are generated in situ on mercerized wool through diazotization and coupling reactions, achieving rapid reactive dyeing at room temperature. The in-situ synthesis and covalent fixation of dye molecules in the fiber matrix have been successfully realized.
      Method In a DMF-water mixed system, isatoic anhydride was adopted to aminate mercerized wool, resulting in aromatic aminated wool. The modification rate of isatoic anhydride on mercerized wool was determined by the residual method. At room temperature, a mixed solution of hydrochloric acid (HCl) and sodium nitrite (NaNO2) was adopted to diazotize the aromatic aminated wool. Further studies on the storage stability of diazotized wool under wet and dry conditions were conducted. Under room temperature and weak alkaline conditions, diazotized wool underwent coupling reactions with different coupling components, achieving coupling coloration and producing coupled colored woolen fabrics.
      Results Mercerized wool was modified with aromatic primary amination, diazotization and coupled coloring modifications to achieve coloration. Diazotized wool reacted with different coupling components to produce different colors. Isatioc anhydride was completely hydrolyzed to o-aminobenzoic acid and the ultraviolet-visible absorption spectra of the hydrolyzed mixture was measured and the wavelength of its maximum absorbance was 309 nm. Using the standard working curve for hydrolysis of different concentrations of isatioc anhydride, the maximum consumption of isatoic anhydride modification on 1 g mercerized wool was found to be 0.022 5 g, and the reaction of diazotized wool with γ acid required 0.074 4 mmol γ acid. The K/S values of dry diazotized wool were basically unchanged after storage for different periods of time, indicating that the storage stability of dry diazotized wool was high. Fourier transform attenuated total reflection infrared spectroscopy characterization showed characteristic Infrared Spectroscopy peaks at different stages. Aromatic primary aminated wool showed an aryl ring adjacent disubstitution peak at 751 cm-1 on the aryl ring, diazotized wool had a diazonium salt stretching vibration peak at 2 334 cm-1, while the sulfonate characteristic peaks of coupled chromogenic wool were at 1 167 and 1 036 cm-1. The color fastness to soap washing and color fastness to rubbing of the coupled colored fabrics were evaluated and the results showed that the color fastness to soap washing of the coupled colored fabrics reached level 4 and the color fastness to rubbing was level 3-4.
      Conclusion The following conclusions can be drawn. 1) The acylation of isatioc anhydride can achieve a good aromatic amination modification on mercerized wool, with electron-rich groups such as amino, imino, hydroxyl, and mercapto as potential modification sites. The modification conditions of 40 ℃ and pH 8 are relatively mild, and under these conditions, the maximum modification reaction amount of isatoic anhydride on mercerized wool is 0.022 5 g. 2) Aromatic aminated wool can undergo a rapid diazotization reaction with nitrite at room temperature, and the resulting diazotized wool has excellent dry storage stability, with the K/S value remaining essentially stable within 10 d after coupled dyeing, which is favorable for long-term storage and application. 3) Diazotized wool can rapidly couple and color with coupling components of different structures under room temperature and weakly alkaline conditions, resulting in dyed mercerized wool with deep color and excellent color fastness performance. The depth value reaches 30, the color fastness to soap washing reaches level 4, and the color fastness to rubbing is above level 3. This is an energy-saving and efficient new reactive dyeing method for wool.

      Preparation and properties of heat resistant bionic structural color fabrics
      WEI Zhiqiang, LIU Xinhua
      Journal of Textile Research. 2025, 46(05):  195-201.  doi:10.13475/j.fzxb.20240502001
      Abstract ( 121 )   HTML ( 3 )   PDF (8630KB) ( 21 )   Save
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      Objective Structural colors have received increasing attention in the textile industry. Colloidal microspheres are commonly adopted to prepare structural colors including organic and inorganic microspheres. Compared with inorganic microspheres, organic microspheres have better industrial application prospects. However, the poor thermal stability of organic microspheres restricts the practical application. Therefore, the cross-linked poly(styrene-divinylbenzene-glycidyl methacrylate) (P(St-DVB-GMA)) microspheres were synthesized aiming to improve the thermal stability of structural color fabrics. This study is expected to provide a basis for solving the problem of poor thermal stability of organic microspheres.
      Methods The cross-linked P(St-DVB-GMA) microspheres were synthesized by emulsion polymerization using styrene (St), glycidyl methacrylate (GMA) and divinylbenzene (DVB), which were adopted to construct structural color on polyester fabrics using atomization deposition method. The chemical structure of P(St-DVB-GMA) microspheres was characterized, and the influence of different mass ratios of non-ionic/anionic surfactants on particle sizes and structural colors of P(St-DVB-GMA) microspheres was investigated. The thermal stability, washing color fastness and rubbing color fastness of the structural color fabrics were evaluated.
      Results P(St-DVB-GMA) microspheres with three different particle diameters of 245, 332, and 398 nm were obtained by adjusting the mass ratio of nonionic surfactant CO897 to sodium dodecyl sulfate (SDS) (ratios of 4.3:1, 4.0:1, and 3.3:1) during the emulsion polymerization. These microspheres were assembled into amorphous photonic crystals with short range order and long range disorder on the polyester fabric surface via atomization deposition to obtain blue, purple, and green structural colors. These structural colors on fabrics did not change with the view angles from 30°to 90°, showing the non-iridescent structural color. The color of P(St-DVB-GMA) structural color fabrics was gradually lightened with the increase of temperature from 60 ℃ to 200 ℃. However, the color did not disappear completely at 200 ℃, and still a more obvious structural color on appeared on the fabric surface. The reflectance peak of P(St-DVB-GMA) structural color fabric did not change, but the reflectivity at peak decreased gradually with the increase of treatment temperature. The peak reflectivity of the structural color fabric treated at 200 ℃ was reduced by about 5%. The results showed that the P(St-DVB-GMA) structural color maintained good stability at 200 ℃. The reason about these may be because of the difference of the glass transition temperatures (Tg) between them. The Tg of P(St-DVB-GMA) significantly increased to 150 ℃ because of introduction of the crosslinking agent DVB. The reflectance curve of the structural color fabric after washing was basically the same as that before washing, but the reflectivity at peak decreased by about 0.27% compared with that before washing. The results showed that the P(St-DVB-GMA) microspheres structural color fabrics had excellent washing colorfastness. The color of the P(St-DVB-GMA) microspheres structural color fabrics did not obvious change after 1, 10, 30, 50 cycles of rubbing compared with that before rubbing, indicating excellent rubbing color fastness of the structural color fabrics.
      Conclusion Crosslinked P(St-DVB-GMA) microspheres were prepared by introducing the DVB through the emulsion polymerization. Three types of P(St-DVB-GMA) microspheres with different particle sizes were prepared by changing the mass ratio of surfactant CO897 and SDS during the synthesis process, so as to obtain blue, purple and green structural colors on the polyester fabric. The thermal stability of P(St-DVB-GMA) structural color fabric was obviously improved, attributing to the increase of Tg of P(St-DVB-GMA) microspheres by introducing crosslinking agent DVB. The P(St-DVB-GMA) microspheres structural color fabrics demonstrated excellent washing and rubbing color fastness because of the presence of reactive epoxy group in P(St-DVB-GMA) microspheres. This study provides the research basis for solving the problem of poor thermal stability of organic microspheres structural color, and provides ideas for the preparation of heat-resistant structural color materials.

      Preparation of polystyrene/reduced graphene oxide microsphere sensing electrothermal fabrics by self-assembly method
      ZHANG Jinqin, LI Jing, XIAO Ming, BI Shuguang, RAN Jianhua
      Journal of Textile Research. 2025, 46(05):  202-213.  doi:10.13475/j.fzxb.20240601801
      Abstract ( 105 )   HTML ( 3 )   PDF (11559KB) ( 44 )   Save
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      Objective Because of superior wearability and comfort, fabrics have drawn a lot of attention as a substrate for flexible sensors. In the fields of health monitoring and smart clothing, their close fit to human skin and capacity to give continuous monitoring and feedback are significant and attractive. However, in practical applications, these fabric-based sensors typically struggle with limited strain range and low sensitivity. Furthermore, the stability and durability of fabric-based sensors must be taken into account so as to increase their applicability. The performance and dependability of the sensors may be impacted by frequent use and cleaning.
      Method Layer-by-layer electrostatic self-assembly was utilized to create fabric-based polystyrene/reduced graphene oxide (PS/rGO) microsphere composites. Using styrene (St) as the monomer, azobisisobutyronitrile (AIBN) as the initiator, and polyvinylpyrrolidone (PVP) as the stabilizer in a mixture of ethanol and water, polystyrene microspheres (PS) were prepared via the dispersion polymerization technique. PS/GO microsphere composites were prepared by loading graphene oxide (GO) onto the PS surface via the electrostatic self-assembly technique. PS/GO was reduced to polystyrene/reduced graphene oxide (PS/rGO) using ascorbic acid (Vc). Ultimately, PS/rGO was applied to the spandex fabric surface with the aid of ultrasonic technology to create PS/rGO microsphere composite materials.
      Results When the rGO content was 1%, the conductivity of the PS/rGO microsphere composite textiles was nearly zero. The electrical conductivity gradually increased as the rGO level was raised from 1% to 10%. The conductivity was 68.2 S/m and the conductivity curve tended to be stable at 15% rGO mass fraction. It demonstrates that in this content range, the PS microspheres formed an efficient conductive network and are suitably coated with rGO. In the strain range of 0%-70%, the PS/rGO microsphere composite textiles exhibited a constant linear connection with Ohm's law, indicating that they may be employed as strain sensors to track changes in resistance. By using linear fitting, the GF value of PS/rGO microsphere composite fabric with 15% GO mass fraction was found to be 4.29 at 40%-90% strain and 10.44 at 0%-40% strain. Additionally, the PS/rGO microsphere composite fabric with 15% GO mass fraction demonstrated outstanding cyclic stability at all strains from 5% to 90%. The prepared PS/rGO microsphere composite fabric with 15% GO mass fraction had good stability, as evidenced by the PS/rGO microsphere composite fabric with 15% GO mass fraction' stable resistance change behavior at varying stretching rates when the strain was 10%. In contrast, the composite textiles showed nearly no change in the resistance change rate during 100 tensile cycles when the stresses were 20% and 60%, showing good durability. At 5-20 V, the electrical and thermal characteristics of PS/rGO composite textiles were examined. With an increase in voltage, the PS/rGO composite textiles' surface temperature rose noticeably. The surface temperature of the PS/rGO microsphere composite textiles increased dramatically as the voltage was raised. The fabric's surface temperature were raised from 19 ℃ to 64.2 ℃ at 20 V within 87 s, demonstrating good electrothermal performance. In the meantime, the detecting electrothermal fabric's resistivity shift showed good resistance to rubbing and washing, changing only little under 0-500 rubbing cycles and 0-60 min washing. The constructed fabric-based PS/rGO microsphere composite sensors showed good sensing capability with strain detection of 0%-90% and sensitivity GF of 10.44, when compared to other reported fabric-based sensors.
      Conclusion Smart textiles with strain sensing and electrothermal properties were prepared by loading PS microspheres and rGO onto spandex elastic fabric using the electrostatic self-assembly technique. The microsphere-nanosheet layered structure provides the sensors with excellent cycle stability, permeability, water washing resistance, and a wide strain detecting range. When the applied voltage is 20 V, the fabric can rise from 19 ℃ to 64.2 ℃ with in 87 s, which has good electrothermal performance. The GF value can reach 10.44 at the 0%-90% strain range, and the resistance change rate is almost unchanged at different strains and different tensile speeds as well as 100 cycles, which shows excellent cyclic stability. Additionally, the sensing electrothermal fabric is very resistant to washing and rubbing, ensuring its dependability in practical applications. Future research can further examine the possible userange of these flexible sensors in a variety of industries, including motion tracking, health monitoring, and smart apparel. Their uses can be broadened through the optimization of material combination, structural design, and preparation procedure. It is anticipated that flexible strain sensors will play a major role in the development of an intelligent society, bringing convenience and creativity to daily existence.

      Apparel Engineering
      Three-dimensional simulation of fully-fashioned skirt based on mesh model
      GU Wenmin, JIANG Gaoming, LIU Haisang, LI Bingxian
      Journal of Textile Research. 2025, 46(05):  214-221.  doi:10.13475/j.fzxb.20240203601
      Abstract ( 164 )   HTML ( 5 )   PDF (7184KB) ( 28 )   Save
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      Objective In order to address the challenges in the rapid design and three-dimensional (3-D) simulation of fully-fashioned skirts, which are key components of flat-knitting sweater products, by achieving efficient 3-D simulation, the study aims to predict fabric structural effects, provide new design methodologies, and offer theoretical and practical guidance for the development of fully-fashioned skirts.
      Method Pattern diagrams, structure diagrams, and process knitting diagrams are encoded using matrix numbers, with color codes serving as a bridge to establish relationships between them. This approach facilitates information conversion and interaction design between skirt templates and computer knitting files. A geometric loop model and grid model are constructed to integrate the boundary and internal grid structures of loops. Spatial coordinates of value points are determined based on the index relationship between two-dimensional (2-D) and 3-D OBJ models. Using WebGL technology and 3-D spline curves, the iTDS system achieves real-time 3-D simulation. The program is developed in Visual Studio using C# language.
      Results The research successfully develops a digital design framework for fully-fashioned skirts, significantly reducing design difficulty, storage space, and computational time. A 3-D loop model and grid model are established based on actual loop shapes and the classical 2-D Peirce loop model. Proportional relationships between loop control points and model points are analyzed, enabling precise determination of triangular surfaces for each loop type value point. Planar loop shape points and grid points are rapidly converted into spatial coordinates, achieving accurate 3-D simulation based on the loop structure.
      Conclusion On the basis of constructing an ideal geometric model of fabric loops, the study demonstrates that rapid design and 3-D simulation of fully-fashioned skirts can be achieved through the integration of pattern diagrams, structure diagrams, and process knitting diagrams. While the current geometric model effectively represents fabric series relationships, further research is required to incorporate physical and mechanical models for more realistic simulations of specific structures. This study provides both theoretical insights and practical tools for the design and development of fully-fashioned skirts.

      Stitch modeling of three-dimensional personalized knitted garment
      LI Jijun, LIU Zehua
      Journal of Textile Research. 2025, 46(05):  222-226.  doi:10.13475/j.fzxb.20240304001
      Abstract ( 114 )   HTML ( 7 )   PDF (5425KB) ( 29 )   Save
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      Objective The design process of knitted fabrics is long and high in cost, including material cost and time cost. Computer simulation technology can greatly simplify the design process, but knitted fabrics are difficult to simulate due to their complex structural characteristics. This study represents an effort to provide a solution to this problem by three-dimensional (3-D) modeling of stitches and real-time rendering of knitted fabrics.
      Method The three-dimensional simulation of needlework mainly includes two stages, i.e., three-dimensional modeling and real-time rendering. In the modeling stage, the yarn center trajectory curve is generated by the improved non-uniform Catmull-Rom curve pyramid algorithm, and the three-dimensional model of the yarn is generated by sweeping, so as to realize the rapid modeling of complex stitch based on basic stitch. In the rendering stage, the ambient light occlusion Phong algorithm and the Kajiya-Kay lighting simulation algorithm are adopted to render the main part and burr part of the yarn model respectively, so as to obtain real-time realistic effects.
      Result Based on the actual operation needs of knitting designers, this study refers to relevant general weaving methods at home and abroad, and uses the improved non-uniform Catmull-Rom curve pyramid algorithm to generate the yarn center trajectory curve and then sweep to generate the yarn three-dimensional model, realizing the parametric modeling of positive stitches, reverse stitches, and twisted stitches, and perfectly solving the modeling problems that are easy to appear, such as yarn distortion and model penetration. The parametric needle design mode is not only compatible with the commonly used conventional weaving methods, but also expands the designer's free innovation design capabilities. In addition, the design implements a user-defined stitches library module, including details such as stitches type, number of knitting rows and stitches, and topological relationship of stitches nodes. Various distinctive complex stitches can be independently designed and stored, providing data support for designers' personalized innovative designs. Users can design various stitches and automatically load them into the model library as basic stitches for expansion. In the rendering stage, this paper uses OpenGL to achieve realistic real-time rendering of yarn fiber details of knitted garments, uses line elements to simulate the fibers in the yarn model to improve rendering efficiency, and uses the ambient occlusion Phong algorithm and the Kajiya-Kay lighting simulation algorithm to render the main body and burr part of the yarn model, respectively, taking into account the characteristics of different rendering subjects, and obtains realistic rendering effects while having good rendering efficiency. In addition, the stitches model generated by sweeping the center line of the yarn has a good compatibility with this rendering algorithm. Since the process of calculating the center point of the yarn is omitted, it has a faster computing speed, which further improves the rendering efficiency. The rendering result diagram well reflects the structural characteristics and design elements of the stitches method.
      Conclusion The 3-D simulation method is utilized to expand and simulate various stitches, which significantly improves the efficiency of knitted clothing design. The improvement of design efficiency is mainly reflected in two aspects. (1) A module for user-defined stitch library is designed to facilitate the design and use of various stitches, and (2) the real-time display of knitted fabric simulation effects is achieved through 3-D modeling and real-time rendering technology of stitches, which is convenient for designers to improve design elements.

      Modular design of knitted protective jackets based on functional partitioning
      CONG Honglian, FANG Leimei, JIANG Fei, LI Huijian, YU Xuliang
      Journal of Textile Research. 2025, 46(05):  227-235.  doi:10.13475/j.fzxb.20241005301
      Abstract ( 83 )   HTML ( 9 )   PDF (9483KB) ( 36 )   Save
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      Objective The current demand for cut- and rubbing-resistant flexible protective clothing is becoming increasingly diverse and complex.The majority of protective clothing currently available on the market is designed solely to provide only physical protection, which is single in function and fails to align with the design concept of modular protection for different parts of the human body. This research proposes a modularized design method for flat-bed knitted protective jacket based on functional partitioning, which is derived from the principles of ergonomic theory and the flat-bed knitting process.
      Methods The functional partition design scheme was initially delineated in a systematic manner. Subsequently, the method for developing the modularized design model of functional partitioning was elucidated in comprehensive detail, encompassing three fundamental aspects, which are the functional partitioning principle, the functional partitioning logic, and the functional zoning template. Finally, the design was validated through the analysis of a knitted female protective jacket, which was knitted on a STOLL CMS ADF computerized flat knitting machine.
      Results The modularization design process is shown, which started with the demand analysis of the garment. The functional partitioning logic was formulated according to the functional partitioning principle; the functional partitioning template was generated, and the modularization design verification and application were carried out. It shows the combination of anthropometric datum and datum line to determine the module division size and location. It demonstrates that the outer layer of protection was zoned into the following levels: chest, abdomen, waist, back, head, and upper limbs. The functional partitioning levels of the inner layer of protection, from highest to lowest, are abdomen, back, head, shoulder, upper arm, forearm, and chest. The logic for addressing conflicts in merging functional zones is as follows: pariritization rules are established to ensure that the outer layer of protection takes precedence over the inner layer, while accommodating the pariritization of different body parts based on their specific requirements. The functional partitioning template must be dynamically adjusted, encompassing adjustments to the number of zones (with consideration given to merging when fewer than 13 zones are present) and the inclusion of special functions such as high mobility and high permeathability, tailored to meet specific needs. Applying this principle, a protective jacket functional partitioning model was constructed.
      Conclusion This study proposes modular design of knitted protective apparel, with a focus on the integration of ergonomic theory and the consideration of the diversity characteristics inherent to cross knitting organizations. The modular design comprises three components: functional partitioning principle, logic, and template, achieving synergy and balance of body functions through the division and integration of functional modules. The objective is to develop a comprehensive understanding of the protective function, which serves as the primary foundation for the design process. A horizontal knit protective jacket for women serves as an exemplar for verification. The results demonstrate that the application of the modular design method of functional partitioning has yielded a functional partitioning model of a protective jacket comprising eight zones. Based on this model, three-dimensional body data is combined with a two-dimensional flat paper pattern, which is then converted into stitch and row counts for machine knitting, ultimately being shaped through knitting technology. The connection of different zoned modules is achieved through the application of high-efficiency fiber product thermo-compression molding technology (utilizing an ultrasonic device for heating during the molding process, followed by the use of a hobbing knife to cut the fabric interface) or the needle augmentation/stacking process (necessitating additional stitches when the lower module has fewer stitches than the upper module, and stacking stitches when the lower module has more stitches). Finally, digital display technology is employed, which verified the integration of the modular design concept of functional partitioning in terms of functionality and comfort. This study presents a realization scheme for the development of protective clothing with functional partitioning, with the objective of creating an advanced protective clothing system that can effectively respond to a range of protection needs while also ensuring the comfort and adaptability of the wearer.

      Key technologies for digital preservation and inheritance of ethnic costumes
      GENG Zengmin, LIU Shiyu, CUI Jian, KANG Shen'ao, WANG Yongjin, LIU Wei, NING Jun
      Journal of Textile Research. 2025, 46(05):  236-242.  doi:10.13475/j.fzxb.20240707001
      Abstract ( 220 )   HTML ( 7 )   PDF (5001KB) ( 42 )   Save
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      Objective In order to address the limitations in preservation and inheritance of textile intangible cultural heritage using digital and intelligent technologies, the study proposes a methodology for the preservation and inheritance of ethnic costumes based on unreal Engine (UE), artificial intelligence (AI) and visual reality (VR) technologies. The main objectives include efficiently digitizing ethnic costumes, enhancing the reproduction of costume details through artificial intelligence tools, and increasing public awareness and interest in ethnic costume culture by creating a metahuman to interact with the audience.
      Method High-precision 3-D scanning technology was employed to comprehensively digitize ethnic costumes to capture both the exterior and interior surfaces. The data were stored in full-information files using.ply or.pts file formats. Next, digital restoration was performed using AI tools to enhance the accuracy of color, pattern, and material details. The garments were then precisely recreated in Marvelous Designer (MD) in a scale of 1:1, simulating the physical properties of the fabrics. Finally, the recreated garments were displayed interactively using metahuman in the UE environment.
      Results The 3-D scanning process successfully captured detailed point-cloud data of the ethnic costumes, achieving full-information storage. Digital restoration processes applied to the 3-D models resulted in highly accurate replications of the original garments, including texture and material details. An automatic classification system for ethnic costume images was also developed using a hybrid CNN-ResNet model, which improved classification accuracy and model generalization. The system's performance was evaluated through a series of experiments, with metrics such as accuracy, precision, recall, and F1 score showing promising results. The dynamic garment simulation in MD and subsequent interactive display in UE demonstrated the effectiveness of this method for bringing ethnic costumes to life. For example, a Qing dynasty blue silk women's jacket from the museum collection in Beijing Institute of Fashion Technology was accurately recreated and dynamically displayed. The study also explored the use of VR/AR technology to preserve intangible cultural heritage relating to ethnic costumes, such as traditional craftsmanship and dyeing techniques, offering a new approach to cultural transmission.
      Conclusion The proposed methodology is effective in preserving and inheriting ethnic costumes. The integration of high-precision 3-D scanning, digital restoration and interactive display through UE not only preserves the physical characteristics of ethnic costumes, but also enhances public participation through immersive experiences. The combined use of VR, AI and metahuman technologies provides a viable solution for the preservation and innovative inheritance of ethnic costume cultural heritage. This method has popularization value and reference significance for the preservation and inheritance of other forms of tangible cultural heritage.

      Machinery & Equipment
      Design of machine vision-based system for detecting appearance defects in glass fiber yarn clusters
      LI Jiguo, JING Junfeng, CHENG Wei, WANG Yongbo, LIU Wei
      Journal of Textile Research. 2025, 46(05):  243-251.  doi:10.13475/j.fzxb.20240404501
      Abstract ( 123 )   HTML ( 8 )   PDF (31848KB) ( 39 )   Save
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      Objective Glass fiber is widely used in transportation, shipbuilding, aerospace, construction, wind power, national defense equipment, leisure sports and other fields, and is stored in the form of glass fiber yarn clusters in the production and transportation process, so the quality monitoring of glass fiber yarn clusters is particularly important. However, conventional manual detection has disadvantages such as low efficiency, high missing detection, and long lag time. Therefore, a machine vision-based appearance defect detection system for glass fiber yarn was proposed and designed to meet the demand of the production line.
      Method Based on the combination of conventional image algorithm and deep learning algorithm, firstly, the conventional method is adopted to preprocess the image, and the RGB and HSV color space channels are adopted to identify the model label of the glass fiber yarn clusters, and secondly, the suspected defective glass fiber yarn clusters image is transmitted to the improved MobileNetV2 deep learning model for defect judgment. Finally, a complete set of software and hardware system for the detection of appearance defects of glass fiber yarn clusters was designed, and the system used Siemens S7-200 PLC as the hardware controller to complete the automatic transmission and sorting of glass fiber yarn clusters in the process of detection.
      Results The image data collected in the industrial field is used as a dataset sample, and the resolution of the upper end face image is 1 942 pixel×1 942 pixel, and the bottom end image resolution is 3 500 pixel×3 500 pixel. 3 000 normal samples, 25 847 defective samples, 1 000 images of red, yellow and blue varieties were selected for verification by the variety classification algorithm. In order to ensure that no detections are missed in the preclassification task, the parameter threshold is set as low as possible during the algorithm design, so that all images of suspected defects continue to be input to the subsequent deep learning model for further review. In the variety classification task, the recognition accuracy of each species reached 99%. In the follow-up defect review task, ResNet, AlexNet, VGG16 and MobileNetV2 models were experimented, respectively, and the overall classification accuracy reached about 95%, of which the classification accuracy of ResNet50 reached 96.12%, which was 0.62% higher than that of MobileNetV2, but its training time and model parameters were much larger than those of MobileNetV2. MobileNetV2 achieves a classification accuracy of 97.37%, which is 1.87% higher than the original model, proving the effectiveness of the improvement. On the whole, the proposed detection algorithm meets the requirements of the appearance defect detection system of glass fiber yarn clusters.
      Conclusion A software and hardware system for the detection of appearance defects of glass fiber yarn clusters based on machine vision is proposed and designed. The conveyor mechanism controlled by the Siemens S7-200 PLC can be freely and conveniently embedded in the actual production line, and the multi-angle camera is adopted to collect the appearance image of the glass fiber yarn clusters during the conveying process. According to the requirements of production inspection, effective pretreatment, variety classification and defect detection algorithms were designed. The influence of the reflection effect of the plastic packaging on the surface of the glass fiber yarn clusters on the image feature extraction is solved, the image preprocessing method is designed to effectively reduce the computation amount of the system, and the proposed SA-MobileNetV2 lightweight deep learning model can meet the needs of the actual production line to detect and sort one glass fiber yarn clusters per 5 s on average. The system is simple to operate and has complete data, which helps enterprises to improve production processes and monitor product quality, and has broad engineering application value.

      Body design and optimization of shovel type fabric unloading vehicle based on multi-working conditions
      SONG Shuanjun, SHANG Changwei, ZHANG Jiahao, ZHOU Jinliang
      Journal of Textile Research. 2025, 46(05):  252-261.  doi:10.13475/j.fzxb.20240600301
      Abstract ( 96 )   HTML ( 4 )   PDF (8949KB) ( 22 )   Save
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      Objective In the textile workshop, the handling of full rolls of fabric sticks is a key and difficult problem. There are design problems in the existing fabric unloading vehicle, which cause it to consume a lot of energy in the process of handling to overcome its own weight, and the poor stability of the vehicle body also affects the transportation efficiency. Therefore, it is of great significance to optimize the vehicle body structure of the fabric unloading vehicle to achieve the design goals of equal strength, light weight and high stability.
      Method Aiming at the problems such as high body weight and poor stability, a system-level optimization method was introduced to improve the anti-torsional performance and the uniformity of modal natural frequency distribution and eliminate the potential stress concentration by optimizing the overall design, material and layout of the vehicle body. At the same time, considering several working conditions, the topological optimization method is utilized to adjust the material distribution, which can meet the requirements of structural strength and stiffness to the maximum extent and reduce the weight of the vehicle body. The comprehensive application of these optimization methods provides a new idea for the precise design and efficient optimization of the vehicle body structure of the fabric unloading vehicle.
      Results This paper introduces a comprehensive optimization methodology addressing vehicle body weight, stability, and the design of a specialized fabric unloading vehicle. By meticulously optimizing the vehicle body's structure, materials, and layout, improvements in anti-torsional resilience and modal frequency distribution uniformity are achieved, effectively eliminating stress concentration. This systematic approach combines vehicle body optimization principles with the specialized requirements of fabric unloading vehicles, enhancing their performance and structural integrity in industrial applications. system-level optimization method, this paper optimizes the vehicle body of the fabric unloading vehicle, finds the most dangerous working condition under 5 working conditions, and then carries out topology optimization to achieve the design of equal strength, lightweight and high stability of the vehicle body. After simulation verification, according to the comparison results, it is shown that after optimization, the first five order natural frequency of the vehicle body is significantly increased, which reduces the potential risk of the falling vehicle being affected by vibration during driving, and thus improves the stability of the vehicle body. The optimized vehicle body uses less material under the same load, while its strength, stiffness and stability are significantly improved. Compared to the original design, the optimized solution not only achieves a 32.5% reduction in vehicle body weight. The static stiffness analysis results of the optimized vehicle body are compared. It can be seen that the maximum stress of the optimized vehicle body is reduced by 23.3%, which fully meets the allowable stress conditions and approaches to the allowable stress, thus improving the utilization rate of materials. After optimization, the maximum deformation of the vehicle body is reduced by 60.3%, and the maximum displacement of the frame is reduced by 9%, that is, the stiffness of the vehicle body is enhanced. This shows that the system level optimization scheme considering the loading condition is feasible.
      Conclusion The proposed optimization method not only significantly improves the performance of the vehicle body structure, but also provides a new optimization idea for related fields, which has certain practical value and theoretical guidance. However, the specific details and complexity of the working conditions, may be ignored, resulting in the simulation results are not accurate enough, and the description has certain limitations. Therefore, in order to improve the accuracy of the research results, it is necessary to further explore the specific effects of specific conditions. Subsequently, more types and quantities of working conditions are considered, and the influence of factors such as different heights and angles is considered in the loading and unloading process, so as to simulate the actual working scene more comprehensively. At the same time, the load calculation process is refined, considering the influence of the power arm length, the shape of the hook, the friction between the hook and the cloth, etc., so as to simulate the actual loading situation more accurately. Furthermore, a more refined simulation model is introduced, such as considering the influence of factors such as the speed change of the cloth hook in the process of resetting, the friction between the fabric and the fabric cart, so as to improve the accuracy of the simulation and make the optimized results more accurate and reasonable.

      Design and performance evaluation of humidity regulator in chemical protective suit
      YANG Qi, ZHOU Xiaoyu, JI Jing, DAI Hongqin
      Journal of Textile Research. 2025, 46(05):  262-269.  doi:10.13475/j.fzxb.20241100901
      Abstract ( 146 )   HTML ( 6 )   PDF (6394KB) ( 17 )   Save
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      Objective Chemical protective suit functions as a critical barrier that separates the human body from the external environment, thereby ensuring human safety. Designed with specialized isolating materials and a one-piece construction, this type of suit significantly hinders the evaporation of sweat from the skin surface and restricts heat exchange between the interior and exterior. Consequently, this design often leads to inadequate thermal and humid comfort levels for the wearer. In ordert to address this challenge, a novel method aimed at optimizing the thermal comfort of chemical protective suit has been developed. This involves the design and fabrication of an external wearable humidity regulator intended to enhance thermal and humid comfort by reducing the humidity within the air layer of the suit.
      Methods The proposed design strategy is grounded on the principles of dry and wet gas exchange. The external humidity regulator operates based on the dehumidification mechanism of desiccant. For this purpose, a composite desiccant formulation comprising two units of calcium chloride and two units of 4A molecular sieve was employed. In oder to assess the efficacy of the device, an artificial climate chamber was utilized to replicate the actual working conditions experienced by users of chemical protective suit. Eight subjects were instructed to wear both control chemical protective suit and the experimental suit equipped with the humidity regulatory for a duration of 35 min. The thermal and humid comfort performance of the experimental suit was evaluated through both objective measurements and subjective assessments.
      Results The experimental chemical protective suit equipped with integrated external humidity regulation manifested a notable improvement in thermal and humid comfort in contrast to the control chemical protective suit. Specifically, in the torso area, the external wear humidity regulator presented a more stable performance, reducing the relative humidity of the air layer under the regulating by approximately 30% on average. In the extremities, the device was capable of effectively lowering the relative humidity of the air layer under the suit to within the range of 20%-40%. This dehumidification effect significantly augmented the comfort of the wearer when using chemical protective suit. It is noteworthy that throughout the entire experiment, the relative humidity of the experimental group was maintained at or below 70% on average, which was conspicuously superior to that of the control group. Additionally, the integrated external humidity regulator not only effectively decreased the relative humidity of the air layer under the regulatory but also exerted a positive influence on the wearer's body skin temperature and the temperature of the air layer under the regulator. At the end of the experiment, the average temperature difference of the air layer in the experimental group was approximately 2.5 ℃ lower than that in the control group, and the average skin temperature difference was about 1 ℃ lower, signifying that the protective suit had a significant impact on regulating the body heat load. Concerning the subjective assessment, participants generally stated that the perceived humidity was significantly reduced when wearing protective suit with integrated external humidity regulator, and the subjective value of the overall wet sensation was reduced by approximately 0.5 on average, suggesting that the wearer was more content with the improvement measures. Simultaneously, participants also offered positive feedback on the overall feeling of cold and hot after wearing, and the average overall subjective evaluation value of cold and hot decreased by approximately 0.8.
      Conclusion The utilization of calcium chloride and 4A molecular sieve as desiccant external humidity regulator is effective and feasible. This externall humidity regulator offers an innovative solution for optimizing thermal and humid comfort in chemical protective suit, significantly enhancing comfort in the working environment.