Journal of Textile Research ›› 2021, Vol. 42 ›› Issue (02): 156-160.doi: 10.13475/j.fzxb.20201007905

• Dyeing and Finishing & Chemicals • Previous Articles     Next Articles

Color prediction model of compound filament

WANG Yujuan1,2, WANG Jun1,2()   

  1. 1. College of Textiles, Donghua University, Shanghai 201620, China
    2. Key Laboratory of Textile Science & Technology, Ministry of Education, Donghua University, Shanghai 201620, China
  • Received:2020-10-29 Revised:2020-11-02 Online:2021-02-15 Published:2021-02-23
  • Contact: WANG Jun E-mail:junwang@dhu.edu.cn

Abstract:

In order to facilitate the computer-aided pre-spinning design of original color-matching yarns, a color prediction model was proposed based on the transmittance, reflectance and arrangement of the monofilament from the perspective of light transmission between monofilaments. Red, green, yellow, and blue colored films instead of monofilament were used. The films of any two colors were cut into different sizes, and 12 multifilament samples were made by superimposing the colored films. The mixed color of the sample was tested with datacolor colorimeter, and the color difference between the mixed color tested by the colorimeter and predicted by the model was calculated. The factors causing the color difference were discussed through Pearson correlation analysis. The results show that the average predicted color difference is 0.43 CMC (2∶1) color difference unit. The saturation and hue angle of the multifilament has a significant impact on the predicted color difference, showing that the predicted color difference decreased with the increase of the saturation of the multifilament, and increases with the increase of the hue angle of the multifilament.

Key words: color mixing of fiber, reflectance prediction, chemical fiber filament, optical color mixing, computer-aided design

CLC Number: 

  • TS105

Fig.1

Simplified model of compound filament model"

Fig.2

Analysis of light propagation between two monofilaments (a) and many monofilaments (b)"

Fig.3

Test of reflectance"

Fig.4

Manufacturing method of simulated multifilament. (a) Monofilament layer A; (b) Monofilament layer B; (c) Monofilament layer C; (d) Monofilament layer D; (e) Multifilament"

Fig.5

Reflectance (a) and transmittance (b) of simulated monofilament"

Fig.6

Colorimetric values of simulated multifilament in CIE L*-h° plane(a) and CIE C*-h° plane(b)"

Fig.7

Relationship between chroma(a), hue(b) and color difference"

[1] 汤方明, 王玉娟, 李文刚, 等. 原配色丝纺丝技术研究[J]. 纺织器材, 2020,47(1):5-7.
TANG Fangming, WANG Yujuan, LI Wengang, et al. Research on the spinning technology of the collocation coloured yarn[J]. Textile Accessories, 2020,47(1):5-7.
[2] 皮凤东, 李文刚, 廖壑, 等. 丙纶原配色丝及其制备关键技术研究[J]. 产业用纺织品, 2019,37(3):24-30.
PI Fengdong, LI Wengang, LIAO He, et al. The collocation colored yarns of polypropylene and their key preparation techniques research[J]. Technical Textiles, 2019,37(3):24-30.
[3] FAIRCHILD M D, JOHNSON G M. iCAM framework for image appearance, differences, and quality[J]. Journal of Electronic Imaging, 2004,13(1):126-138.
[4] KUBELKA P, MUNK F. An article on optics of paint layers[J]. Z Tech Phys, 1931,12:593-601.
[5] STEARNS E I, NOECHEL F. Spectrophotometric prediction of color of wool blends[J]. American Dyestuff Reporter, 1944,33:177-180.
[6] FRIELE L F C. The application of color of measurement in relation to fiber-blending[J]. Journal of The Textile Institute, 1952,43:604-611.
[7] MA Chongqi, WANG Yujuan, LI Junli, et al. Theoretical and practical analysis of fiber blend model in gray spun yarn[J]. Journal of Engineered Fibers and Fabrics, 2017,12(2):28-38.
[8] 王玉娟, 马崇启, 刘建勇, 等. 应用改进 Stearns-Noeche Stearns-Noeche 模型的色纺纱配色技术[J]. 纺织学报, 2017,38(10):25-31.
WANG Yujuan, MA Chongqi, LIU Jianyong, et al. Matching color technology of color blended yarn based on modified Stearns-Noeche model[J]. Journal of Textile Research, 2017,38(10):25-31.
[9] 张婷婷, 薛元, 贺玉东, 等. 环锭数码纱Kubelka-Munk双常数配色模型构建及其色彩预测[J]. 纺织学报, 2020,41(1):50-55.
ZHANG Tingting, XUE Yuan, HE Yudong, et al. Construction of Kubelka-Munk double-constant color matching model for ring digital yarn color predic-tion[J]. Journal of Textile Research, 2020,41(1):50-55.
[10] 王玉娟. 基于Stearns-Noeche理论的色纺纱测配色研究[D]. 天津: 天津工业大学, 2017: 35-37.
WANG Yujuan. Research oncolor matching of dyed yarn based on Stearns-Noeche theory[D]. Tianjin: Tiangong University, 2017: 35-37.
[11] 马崇启, 程璐, 王玉娟, 等. 基于Friele模型的彩色纤维混色配方算法[J]. 纺织学报, 2017,38(12):33-37.
MA Chongqi, CHENG Lu, WANG Yujuan, et al. Color fiber mixing formula algorithm based on Friele model[J]. Journal of Textile Research, 2017,38(12):33-37.
[12] 赵林, 姚穆. 纤维反光和透光性质的研究[J]. 西北纺织工学院学报, 2001,15(2):207-212.
ZHAO Lin, YAO Mu. A study of light reflectivity and transmission properties of single fiber[J]. Journal of Northwest Institute of Textile Science and Technology, 2001,15(2):207-212.
[1] . Computer-aided design of fall-plate jacquard fabrics with double colored effect [J]. JOURNAL OF TEXTILE RESEARCH, 2017, 38(12): 157-161.
[2] . Computer-aided design of warp-knitted double jacquard shoe-upper [J]. JOURNAL OF TEXTILE RESEARCH, 2016, 37(11): 148-153.
[3] . Computer-aided design of fall-plate Jacquard fabrics with nest effect [J]. Journal of Textile Research, 2015, 36(12): 140-145.
[4] . Computer-aided design of warp-knitted jacquard spacer fabrics [J]. Journal of Textile Research, 2015, 36(02): 105-110.
[5] JIANG Gaoming;GU Luying;DONG Zhijia;CONG Honglian;ZHANG Aijun. Computer-aided design for warp-knitted seamless tubular fabric [J]. JOURNAL OF TEXTILE RESEARCH, 2011, 32(1): 140-144.
[6] WANG Ying;CHEN Yan. Application of the principle of psychological perceptions to student uniform design [J]. JOURNAL OF TEXTILE RESEARCH, 2007, 28(3): 96-99.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!