纺织学报 ›› 2026, Vol. 47 ›› Issue (05): 123-132.doi: 10.13475/j.fzxb.20250600401

• 纺织工程 • 上一篇    下一篇

基于纤维体积分数的非织造布有效导热系数建模与仿真

杨仁权1, 汪泽幸1,2(), 盛伟健1, 罗芝怡1   

  1. 1 湖南工程学院 纺织服装学院, 湖南 湘潭 411104
    2 湖南工程学院 智能纺织创新研究院, 湖南 湘潭 411104
  • 收稿日期:2025-06-01 修回日期:2026-03-07 出版日期:2026-05-15 发布日期:2026-07-10
  • 通讯作者: 汪泽幸(1982—),男,教授,博士。主要研究方向为产业用纺织品。E-mail:zexing.wang@hnie.edu.cn
  • 作者简介:杨仁权(2000—),男,硕士生。主要研究方向为织物热特性模拟。
  • 基金资助:
    湖南省研究生科研创新项目(LXBZZ2024388)

Effective thermal conductivity modeling and simulation of nonwoven fabrics based on fiber volume fractions

YANG Renquan1, WANG Zexing1,2(), SHENG Weijian1, LUO Zhiyi1   

  1. 1 College of Textile and Fashion, Hunan Institute of Engineering, Xiangtan, Hunan 411104, China
    2 Intelligent Textile Institute of Innovation at Hunan Institute of Engineering, Xiangtan, Hunan 411104, China
  • Received:2025-06-01 Revised:2026-03-07 Published:2026-05-15 Online:2026-07-10

摘要:

为深入研究非织造布材料的热传递特性,以聚酰亚胺(PI)纳米纤维膜和PI针刺非织造布为研究对象,通过实验测量了不同压力下材料的导热性能,发现随纤维体积分数增加,试样隔热性能变差,散热性能更佳。针对传统Woo模型的局限性,从2个方面进行修正:一是引入Hamilton-Crosser多项混合模型改进了圆柱平行排列的复合导热系数表达式,二是建立了考虑接触热阻和空间坐标转换的热阻串并联模型。对于针刺、水刺等含Z向纤维的非织造布,创新性地提出了考虑穿刺行为的非织造布导热模型。此外,建立了适用于有限元分析的非织造布几何简化模型,通过随机分布的圆柱体模拟纤维结构,实现了对非织造布热传递性能的精确仿真。对比分析表明,修正Hamilton-Crosser后的模型和仿真结果与实验数据具有良好一致性,验证了所提模型的有效性。研究结果可为非织造布热性能的优化设计提供理论依据。

关键词: 非织造布, 有效导热系数, 纤维体积分数, 热阻网络模型, 热传递仿真

Abstract:

Objective This research focuses on polyimide (PI) nanofiber membranes and PI needle-punched nonwoven fabrics to investigate the thermal transfer properties of nonwoven fabrics. The importance and necessity of the study lie in addressing the limitations of existing thermal conductivity models, particularly the Woo model, and accurately modeling thermal properties affected by fiber volume fraction and fiber orientation.

Method Thermal conductivity tests were performed under varying pressure conditions following ASTM standards. Two major modifications were applied to the conventional Woo model, which are integrating the Hamilton-Crosser multi-phase mixture model to refine the composite thermal conductivity expressions for cylindrical fiber arrangements, and establishing a thermal resistance network model accounting for contact thermal resistance and spatial coordinate transformation. Additionally, innovative geometric models for finite element simulations were developed, utilizing randomly distributed cylindrical fibers.

Results Experimental data indicated that increasing fiber volume fractions led to reduced thermal insulation but enhanced heat dissipation. Comparative analyses demonstrated good agreement among the modified analytical models, finite element simulation results, and experimental measurements. Specifically, for the PI nanofiber membranes, because of their small fiber diameters, sensitivity to contact thermal resistance significantly affected thermal performance, resulting in improved heat dissipation capability. Conversely, PI needle-punched nonwoven fabrics exhibited less sensitivity to contact thermal resistance because of larger fiber diameters and structural support from fibers oriented in the Z-direction. This structural feature minimized thickness reduction under pressure, maintaining superior insulation properties. The established finite element models effectively predicted temperature distributions and confirmed the non-linear relationship between fiber volume fraction and effective thermal conductivity. Under identical pressures, PI nanofiber membranes displayed higher overall temperature and more pronounced changes in thermal conductivity compared to needle-punched fabrics, highlighting the significant impact of fiber contact points and associated thermal resistance.

Conclusion The use of modified thermal conductivity models leads to improved accuracy over the conventional Woo model, especially when considering fiber volume fraction effects on effective thermal conductivity, contact thermal resistance, and Z-directionl fiber penetration behaviors. The finite element simulation models demonstrated robust predictive capabilities and validated the theoretical assumptions regarding fiber arrangements. Future work includes developing a theoretical model for contact thermal resistance and extending analyses to incorporate external factors like airflow, tension, and varying ambient temperatures.

Key words: nonwoven fabric, effective thermal conductivity, fiber volume fraction, thermal resistance network model, heat transfer simulation

中图分类号: 

  • TS101.92

表1

不同纤维体积分数下的织物热阻"

压力/N 纤维体积分数/% 热阻/(m2·K·W-1)
PI针刺 PI纳米膜 PI针刺 PI纳米膜
0 1.107 0.207 0.131 0.100
1 1.575 0.258 0.081 0.061
2 2.242 0.310 0.053 0.036
3 2.428 0.362 0.045 0.024

图1

试样上表面温度随时间变化曲线"

图2

非穿刺两向正交非织造布理想模型"

图3

两向正交热阻网格模型"

图4

含Z向纤维非织造布有效导热系数模型"

图5

纤维-空气域组合模型"

图6

修正纤维-空气域组合模型"

表2

试样结构参数与模拟参数"

试样 生产
工艺
纤维
材料
厚度/
mm
纤维体积
分数/%
ε Z向纤维
体积分数/
%
cos2β 纤维导热系数/
(W·m-1·K-1)
对流换热系数/
(W·m-2·
K-1)
热辐射
发射率
径向 轴向
I2 梳理成网 100%涤纶 4.50 1.000 1.25 0.70 0.157 1.257 12.1 0.90
I3 梳理成网 100%涤纶 4.50 1.400 1.25 0.70 0.157 1.257 12.1 0.90
R1 纺黏 100%涤纶 0.18 9.500 1.5 0.04 0.200 2.000 26.9 0.90
R2 纺黏 100%涤纶 0.26 10.300 1.5 0.04 0.200 2.000 78.0 0.90
M8 熔喷 100%丙纶 0.77 7.800 1.5 0.06 0.111 1.242 25.0 0.85
M9 熔喷 100%丙纶 0.90 6.300 1.5 0.06 0.111 1.242 24.0 0.85
S1 水刺 涤纶/木浆 0.34 10.700 2.0 0.200 0.07 0.243 2.879 22.9 0.85
R9 针刺 100%芳纶 2.04 11.000 2.0 0.500 0.07 0.035 2.900 14.8 0.90
A2 针刺 100%PI 6.36 1.107 1.1 0.110 0.87 0.200 1.700 16.0 0.80
A3 针刺 100%PI 5.12 1.575 1.1 0.335 0.87 0.200 1.700 17.1 0.80
A5 针刺 100%PI 4.14 2.242 1.1 0.578 0.87 0.200 1.700 17.0 0.80
A6 针刺 100%PI 3.56 2.428 1.1 0.630 0.87 0.200 1.700 16.9 0.80
B1 静电纺丝 100%PI 7.21 0.207 5 0.99 0.400 15.000 15.9 0.90
B2 静电纺丝 100%PI 5.77 0.258 5 0.99 0.400 15.000 15.6 0.90
B3 静电纺丝 100%PI 4.81 0.310 5 0.99 0.400 15.000 15.5 0.90
B4 静电纺丝 100%PI 4.11 0.362 5 0.99 0.400 15.000 15.6 0.90

表3

不同网格单元尺寸下的网格质量指标"

单元尺寸/
mm
单元数 单元
质量
纵横比 雅可比 扭曲度 平面均
温/℃
0.09 153 645 0.649 3.071 0.947 0.454 25.094
0.08 180 956 0.672 2.844 0.956 0.425 25.092
0.07 199 986 0.703 2.661 0.957 0.383 25.091
0.06 256 416 0.743 2.408 0.966 0.332 25.089

图7

不同压力下非织造布等温面"

图8

各模型有效导系热数与实验误差"

[1] 马腾飞, 宋东鹏, 刘双营, 等. 水刺法非织造材料及工艺在过滤领域的应用[J]. 产业用纺织品, 2023, 41(12): 1-5, 19.
MA Tengfei, SONG Dongpeng, LIU Shuangying, et al. Application research of spunlaced non-woven materials and technology in filtration field[J]. Technical Textiles, 2023, 41(12): 1-5, 19.
[2] 刘琛, 杨凯璐, 陈明星, 等. 熔喷非织造材料制备及其应用研究进展[J]. 现代纺织技术, 2024, 32(5): 116-129.
LIU Chen, YANG Kailu, CHEN Mingxing, et al. Research progress in the preparation and application of melt-blown nonwovens[J]. Advanced Textile Technology, 2024, 32(5): 116-129.
[3] ARAMBAKAM R, VAHEDI TAFRESHI H, POURDEYHIMI B. A simple simulation method for designing fibrous insulation materials[J]. Materials & Design (1980-2015), 2013, 44: 99-106.
doi: 10.1016/j.matdes.2012.07.058
[4] ZHUO T T, CHEN Z M, XIN B J, et al. Surface modification of PE/PET by two-step method with graphene and silver nanoparticles for enhanced electrical conductivity[J]. Journal of Industrial Textiles, 2022, 51(5_suppl): 8246S-8266S.
[5] 赵旭. 可降解舒适型纳米纤维防护服面料的制备与研究[D]. 郑州: 中原工学院, 2022:3-10.
ZHAO Xu. Preparation and research of degradable and comfortable nanofiber protective clothing fabrics[D]. Zhengzhou: Zhongyuan University of Technology, 2022:3-10.
[6] 王婷婷, 顾轶卓, 王绍凯, 等. 碳纤维轴向导热性能表征及其影响因素[J]. 北京航空航天大学学报, 2017, 43(9): 1931-1938.
WANG Tingting, GU Yizhuo, WANG Shaokai, et al. Characterization on axial thermal conductivity of carbon fiber and its influence factors[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(9): 1931-1938.
[7] WOO S S, SHALEV I, BARKER R L. Heat and moisture transfer through nonwoven fabrics: part I: heat transfer[J]. Textile Research Journal, 1994, 64(3): 149-162.
doi: 10.1177/004051759406400305
[8] ZHANG X G, GAI P X, ZHANG B K, et al. Thermal conductivity of rubber composite materials with a hybrid AlN/carbon fiber filler[J]. Chinese Science Bulletin, 2018, 63(23): 2403-2410.
[9] 孙艳丽. 相变微胶囊低温防护复合织物的结构设计及传热模型研究[D]. 天津: 天津工业大学, 2019:3-10.
SUN Yanli. Structural design and heat transfer model of protective composite fabrics with phase-change microcapsules at low temperatures[D]. Tianjin: Tiangong University, 2019:3-10.
[10] HUANG X, ZHOU Q, LIU J, et al. 3D stochastic modeling, simulation and analysis of effective thermal conductivity in fibrous media[J]. Powder Technology, 2017, 320: 397-404.
doi: 10.1016/j.powtec.2017.07.068
[11] ZHANG Y J, JIA J H. Numerical investigation of heat transfer in garment air gap[J]. Autex Research Journal, 2022, 22(1): 89-95.
doi: 10.2478/aut-2020-0055
[12] 吴佳玥, 吴巧英. 羽绒制品热传递的有限元仿真[J]. 纺织学报, 2022, 43(11): 154-162.
doi: 10.13475/j.fzxb.20210911309
WU Jiayue, WU Qiaoying. Finite element simulation of heat transfer through down coat panel[J]. Journal of Textile Research, 2022, 43(11): 154-162.
doi: 10.13475/j.fzxb.20210911309
[13] 吕洋. 基于多尺度的气凝胶混凝土导热系数及其影响因素研究[D]. 重庆: 重庆交通大学, 2024.
LÜ Yang. Study on thermal conductivity of aerogel concrete and its influencing factors based on multi-scale[D]. Chongqing: Chongqing Jiaotong University, 2024.
[14] HOWELL J R. Thermal radiation heat transfer[M]. Boca Raton: CRC Press, 2015:1-31.
[15] 刘维. 木棉保暖材料及其保温机理的研究[D]. 上海: 东华大学, 2011:3-10.
LIU Wei. Kapok battings and its thermal insulation properties[D]. Shanghai: Donghua University, 2011:3-10.
[16] ZHAO X P, HUANG C L, LIU Q K, et al. Thermal conductivity model for nanofiber networks[J]. Journal of Applied Physics, 2018, 123(8): 085103.
doi: 10.1063/1.5008582
[17] 景喆, 董九志, 梅宝龙, 等. 考虑纤维随机分布的整体穿刺碳纤维毡压实过程仿真研究[J]. 航空制造技术, 2025, 68(21): 186-192.
JING Zhe, DONG Jiuzhi, MEI Baolong, et al. Simulation research on compaction process of integral pierced carbon fiber felt considering random fiber distribution[J]. Aeronautical Manufacturing Technology, 2025, 68(21): 186-192.
[18] DUTTA B K. Heat Transfer: Principles and Applications[M]. Delhi: PHI Learning Pvt Ltd, 2023:1-30.
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