To facilitate the product design of hybrid multifilament fabric prior to spinning, a color prediction model was proposed. The monofilaments in the multifilament were assumed to have a square cross-section and stacked vertically. The prediction model considered the reflectance, transmittance and arrangement of the monofilaments in the fabric. To test the reflectance and transmittance of the monofilament with the Datacolor spectrophotometer, films with the same material and thickness as the monofilaments were made. Twenty kinds of multifilaments with different blending ratios and fineness were produced and woven into fabrics. The color difference between the fabric color tested by the spectrophotometer and predicted by the new model and classical Kubelka-Munk (K-M) theory was calculated and compared. The result shows that the average color difference obtained by the new model was 1.02 Color Measurement Committee (CMC) (2 : 1) units, which was less than that of 1.78 CMC (2 : 1) units obtained by the K-M theory. Through Spearman correlation analysis, the fabric lightness and the multifilament fineness had a significant influence on calculated color difference, and the color difference decreased with increases of them. Finally, the surface color of a fabric was reproduced, indicating the model can be used to characterize the phenomenon of uneven color mixing on the fabric surface.
WANG Yujuan1 (王玉娟)，LI Wengang2 (李文刚)，LIU .Jianyong3 (刘建勇),CHEN Guangxue4 (陈广学),WANG Jun1*(汪军)
. Color Prediction Model of Gray Hybrid Multifilament Fabric[J]. Journal of Shanghai Jiaotong University(Science), 2023
, 28(6)
: 802
-808
.
DOI: 10.1007/s12204-021-2326-0
[1] WANG Q, LI W, GAN X, et al. Hybrid filament and its preparation technology: CN 109112655 [P]. 2019- 01-01.
[2] PI F, LI W, LIAO H, et al. The collocation coloured yarns of polypropylene and their key preparation techniques research [J]. Technical Textiles, 2019, 37(3): 24- 30(in Chinese).
[3] CHAE Y. The color appearance shifts of woven fabrics induced by the optical blending of colored yarns [J]. Textile Research Journal, 2020, 90(3/4): 395-409.
[4] CHAE Y. The effects of the spatial frequency and size of stripes on the hue appearance of striped woven fabrics [J]. Textile Research Journal, 2019, 89(12): 2423- 2432.
[5] STEARNS E I, NOECHEL F. Spectrophotometric prediction of color of wool blends[J]. American Dyestuff Reporter, 1944, 33(9): 177-180.
[6] FRIELE L F C. The application of colour measurement in relation to fibre-blending [J]. Journal of the Textile Institute Proceedings, 1952, 43(8): P604-P611.
[7] KUBELKA P, MUNK F. An article on optics of paint layers[J]. Zeitschrift Fur Technische Physik, 1931, 12: 593-601.
[8] YANG R H, HAN R Y, LU Y Z, et al. Color matching of fiber blends: Stearns-Noechel model of digital rotor spun yarn [J]. Color Research & Application, 2018, 43(3): 415-422.
[9] HEMINGRAY C, WESTLAND S. A novel approach to using neural networks to predict the colour of fibre blends [J]. Coloration Technology, 2016, 132(4): 297- 303.
[10] FURFERI R, GOVERNI L, VOLPE Y. Color matching of fabric blends: Hybrid Kubelka-Munk + artificial neural network based method [J]. Journal of Electronic Imaging, 2016, 25(6): 061402.
[11] SHEN J, ZHOU X, MA H, et al. Spectrophotometric prediction of pre-colored fiber blends with a hybrid model based on artificial neural network and StearnsNoechel model [J]. Textile Research Journal, 2017, 87(3): 296-304.
[12] WEI C, WAN X, LI J. Color prediction model for precolored fiber blends based on modified Stearns-Noechel function [J]. Dyes and Pigments, 2017, 147: 544-551.
[13] MA C, WANG Y, LI J, 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.
[14] HIRAYAMA H, KANEDA K, YAMASHITA H, et al. An accurate illumination model for objects coated with multilayer films [J]. Computers & Graphics, 2001, 25(3): 391-400.
[15] HIRAYAMA H, KANEDA K, YAMASHITA H, et al. Visualization of optical phenomena caused by multilayer films based on wave optics [J]. The Visual Computer, 2001, 17(2): 106-120.
[16] SIMONOT L, HERSCH R D, H′ EBERT M, et al. Multilayer four-flux matrix model accounting for directional-diffuse light transfers [J]. Applied Optics, 2016, 55(1): 27-37.
[17] H′ EBERT M, HERSCH R D, BECKER J M. Compositional reflectance and transmittance model for multilayer specimens [J]. Journal of the Optical Society of America A, Optics, Image Science, and Vision, 2007, 24(9): 2628-2644.
[18] WANG Y, CHEN G, LI W, et al. Reflectance model for filament yarn composed of different color monofilaments [J]. The Journal of the Textile Institute, 2020. https://doi.org/10.1080/00405000.2020.1862519.
[19] WANG Y, WANG J. Color prediction model of compound filament[J]. Journal of Textile Research, 2021, 42(2): 156-160 (in Chinese).
[20] WANG Y, SHI C, CUI Z. Design of spinneret [J]. Polyester Industry, 2006, 19(3): 27-30(in Chinese).
[21] ZHAO L, YAO M. 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(in Chinese).
[22] YANG R, XU Y, XIE C, et al. Kubelka-Munk double constant theory of digital rotor spun color blended yarn [J]. Dyes and Pigments, 2019, 165: 151-156.
[23] YANG H, ZHU S, PAN N. On the Kubelka-Munk single-constant/two-constant theories [J]. Textile Research Journal, 2010, 80(3): 263-270.
[24] WANG Y, MA C, LIU J, et al. Matching color technology of color blended yarn based on modified StearnsNoeche model [J]. Journal of Textile Research, 2017, 38(10): 25-31(in Chinese).
[25] WANG Y. Research on color matching of dyed yarn based on Stearns-Noeche theory [D]. Tianjin, China: Tianjin Polytechnic University, 2017.
