Journal of Textile Research ›› 2022, Vol. 43 ›› Issue (05): 104-108.doi: 10.13475/j.fzxb.20210505605

• Textile Engineering • Previous Articles     Next Articles

Effect of tightness of colored knitted fabrics on color prediction

YANG Liu1, LI Yujia1, ZHANG Xin1, HE Wenjing1, TONG Shenghao2, MA Lei3, ZHANG Yi4, ZHANG Ruiyun1,5()   

  1. 1. Key Laboratory of Textile Science & Technology, Ministry of Education, Donghua University, Shanghai 201620, China
    2. Zhejiang Jinsuo Textiles Co., Ltd., Jinhua, Zhejiang 321000, China
    3. China Textile Information Center, Beijing 100020, China
    4. Zhejiang Changshan Textile Co., Ltd., Quzhou, Zhejiang 324200, China
    5. Shanghai Belt and Road Joint Laboratory of Textile Intelligent, Shanghai 200051, China
  • Received:2021-05-20 Revised:2022-01-23 Online:2022-05-15 Published:2022-05-30
  • Contact: ZHANG Ruiyun E-mail:ryzhang@dhu.edu.cn

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Abstract:

In order to improve color prediction modeling, this research took fabric tightness into consideration, and then the influence of the tightness of the fiber-colored knitted fabric on the color prediction was studied. Red and blue pre-colored fibers were used to produce knitted fabrics with different tightness. The fabric surface porosity was used to describe the fabric tightness, and Stearns-Noechel model, one of the most commonly used color prediction models, was selected to predict the color of fabrics. When computing the unknown parameter M in the prediction model, the value of M corresponding to the minimum predicted color difference was selected as the optimal parameter. The results show that when the fabric tightness was not added, the M values obtained were smaller than that of the Mp which were computed when the fabric tightness value was added. When the fabric structures were the same and the tightness of the fabric gradually decreased, the M values hardly change (0.226 5-0.221 6), whereas Mp increased gradually (0.292 1-0.347 1). When the sinking depth of yarns was kept constantly, the M values increased as the fabric became tighter, but the changing of Mp is not obvious. It was obvious that the predicted average color difference became smaller after adding the fabric tightness as a constant into calculation of M.

Key words: colored knitted fabric, fabric tightness, color prediction, fabric porosity, color difference

CLC Number: 

  • TS181.8

Fig.1

Image processing of Image J. (a) Original image; (b) Grayscale image"

Tab.1

Value of parameter M in prediction model and corresponding prediction color difference"

织物 未引入织物紧密程度常数 引入织物紧密程度常数
M CMC Mp CMC
平针70度目 0.226 5 2.18 0.292 1 2.01
平针80度目 0.226 0 2.12 0.316 0 1.90
平针90度目 0.221 6 2.25 0.347 1 1.97
1+1罗纹80度目 0.248 6 2.36 0.322 4 2.20
双反面80度目 0.281 0 3.18 0.302 4 3.13

Tab.2

Average color difference between single-layer and four-layer fabrics"

织物 ELAB CMC E00
平针70度目 0.448 0.276 0.235
平针80度目 0.356 0.236 0.222
平针90度目 0.514 0.282 0.216
1+1罗纹80度目 0.196 0.123 0.111
双反面80度目 0.280 0.172 0.136
平均值 0.359 0.218 0.184

Fig.2

Histogram of parameters in prediction model and surface porosity of fabrics"

Fig.3

Actual and predicted reflectance of fabrics with different surface porosity. (a) Flat stitch with 70 degrees; (b) Flat stitch with 80 degrees; (c) Flat stitch with 90 degrees; (d)1+1 ribbed stitch with 80 degrees; (e) Purl stitch with 80 degrees"

[1] 钱爱芬. 色纺纱产品特点及调配色原理[J]. 棉纺织技术, 2010, 38(11):66-68.
QIAN Aifen. Colored spun yarn characteristic and color mixing & matching principle[J]. Cotton Textile Technology, 2010, 38(11):66-68.
[2] 张毅. 色纺纱生产节约用工与提高品质方法分析[J]. 现代纺织技术, 2011, 19(5):14-16.
ZHANG Yi. Analysis of methods to save labor and improve quality in dyed yarn production[J]. Advanced Textile Technology, 2011, 19 (5):14-16.
[3] SAEIDEH Gorjikandi, MOHAMMAD Amanitehran. Colour dependency of textile samples on the surface texture[J]. Society of Dyers and Colourists, 2008, 124(6): 348-354.
[4] 杨文芳, 路硕, 李昌垒, 等. 捻度对有色粘胶纱颜色的影响[J]. 棉纺织技术, 2016, 44(1):22-24.
YANG Wenfang, LU Shuo, LI Changlei, et al. Influence of twist on the color of colored viscose yarn[J]. Cotton Textile Technology, 2016, 44(1):22-24.
[5] 何文婧, 孙茂杨, 杨柳, 等. 织物结构对色纺纱针织物呈色效果的影响[J]. 针织工业, 2019(12):53-56.
HE Wenjing, SUN Maoyang, YANG Liu, et al. Influence of fabric structure on color effect of dyed-yarn knitted fabrics[J]. Knitting Industries, 2019(12):53-56.
[6] STEARNS Ei, NOECHELF. Spectrophotometric prediction of color of wool blends[J]. American Dyestuff Reporter, 1944, 33(9): 177-180.
[7] DUNTLEY S Q. The prediction and control of colored fiber blends by optical means[J]. Am Dyest Rep, 1941, 30:698-700.
[8] FRIELE L F C. The application of colour measurement in relation to fiberblending[J]. Journal of The Textile Institute Proceedings, 1952, 43(8): 604-611.
[9] WALOWIT E, MCCARTHY C J, BERNS R S. An algorithm for the optimization of kubelka-munk absorption and scattering coefficients[J]. Color Research & Application, 2010, 12(6):340-343.
[10] 赵超, 杨彩云. 弯纱深度与针织物结构参数及导热系数间的关系[J]. 国际纺织导报, 2015, 43(11):22-24.
ZHAO Chao, YANG Caiyun. The relationship between the sinking depth and structure parameters and thermal conductive performance of knitted fabric[J]. Melliand China, 2015, 43(11):22-24.
[11] 白婧, 杨柳, 张毅, 等. 纯棉色纺纱配色中的Stearns-Noechel模型参数优化[J]. 纺织学报, 2018, 39(3):31-37.
BAI Jing, YANG Liu, ZHANG Yi, et al. Parameters optimization of Stearns-Noechel model in color matching of cotton colored spun yarn[J]. Journal of Textile Research, 2018, 39(3):31-37.
doi: 10.1177/004051756903900105
[12] YANG Liu, BAI Jing, ZHANG Ruiyun, et al. The optimization of color-prediction models for colored cotton fiber yarns[J]. Textile Research Journal, 2019, 89(19/20): 4007-4014.
doi: 10.1177/0040517519826892
[13] 李启正. 机织物的交织混色规律及颜色预测模型研究[D]. 杭州: 浙江理工大学, 2015:42.
LI Qizheng. Study on color mixing law and color prediction model for interwoven fabrics[D]. Hangzhou: Zhejiang Sci-Tech University, 2015:42.
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