Journal of Textile Research ›› 2019, Vol. 40 ›› Issue (03): 44-48.doi: 10.13475/j.fzxb.20180202405

• Textile Engineering • Previous Articles     Next Articles

Friele color matching model of multi-channel rotor-spun mixed color yarn

YANG Ruihua(), XU Yaya, HAN Ruiye, XUE Yuan, GAO Weidong   

  1. Key Laboratory of Eco-Textiles(Jiangnan University), Ministry of Education, Wuxi, Jiangsu 214122, China
  • Received:2018-02-06 Revised:2018-12-18 Online:2019-03-15 Published:2019-03-15

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Abstract:

In order to explore the blending effect of multi-channeled rotor spun, the color matching model was established by Friele theory. Model parameters of the Friele model of digital mixed color mixed yarn was calculated by the reflection of the two-component and three-component samples spun by roving of red, yellow and blue, respectively, two-component and three-component model parameters were obtained and compared with model parameters calculated by other researchers. The results show that the four model parameters calculated by this experiment are better to predict the color characteristics of multi-channeled rotor spun color-blended yarn than those recommended by the other researchers for both the two-component and three-component samples. Among them, compared with the model parameters calculated by the assignment method, the model parameters related to wavelengths for predicting the average color difference value of two-component and three-component samples reduce by 0.42 and 0.48, respectively. When the tolerance range is 1, the sample qualification rate is improved by 33% and 50%, respectively. It is concluded that the model parameters calculated at various wavelengths could better predict the color of multi-channeled rotor spun color-blended yarn.

Key words: multi-channeled rotor spun, color-blended yarn of multi-primary-color, Friele model, blended color, model parameter

CLC Number: 

  • TS101.2

Fig.1

Drawing of multi-feeding part of rotor spun machine"

Tab.1

Color ratio of samples"

样本
编号		 m红∶m黄∶m蓝 样本
编号		 m红∶m黄∶m蓝 样本
编号		 m红∶m黄∶m蓝 样本
编号		 m红∶m黄∶m蓝 样本
编号		 m红∶m黄∶m蓝 样本
编号		 m红∶m黄∶m蓝
1 1∶0∶0 12 9∶1∶0 23 0∶2∶8 34 5∶1∶4 45 1∶2∶7 56 1∶4∶5
2 0∶1∶0 13 1∶0∶9 24 0∶3∶7 35 4∶1∶5 46 6∶3∶1 57 4∶5∶1
3 0∶0∶1 14 2∶0∶8 25 0∶4∶6 36 3∶1∶6 47 5∶3∶2 58 3∶5∶2
4 1∶9∶0 15 3∶0∶7 26 0∶5∶5 37 2∶1∶7 48 4∶3∶3 59 2∶5∶3
5 2∶8∶0 16 4∶0∶6 27 0∶6∶4 38 1∶1∶8 49 3∶3∶4 60 1∶5∶4
6 3∶7∶0 17 5∶0∶5 28 0∶7∶3 39 7∶2∶1 50 2∶3∶5 61 3∶6∶1
7 4∶6∶0 18 6∶0∶4 29 0∶8∶2 40 6∶2∶2 51 1∶3∶6 62 2∶6∶2
8 5∶5∶0 19 7∶0∶3 30 0∶9∶1 41 5∶2∶3 52 5∶4∶1 63 1∶6∶3
9 6∶4∶0 20 8∶0∶2 31 8∶1∶1 42 4∶2∶4 53 4∶4∶2 64 2∶7∶1
10 7∶3∶0 21 9∶0∶1 32 7∶1∶2 43 3∶2∶5 54 3∶4∶3 65 1∶7∶2
11 8∶2∶0 22 0∶1∶9 33 6∶1∶3 44 2∶2∶6 55 2∶4∶4 66 1∶8∶1

Fig.2

Relationship between σ values and ΣΔR. (a) ΣΔR of two component sample σ value; (b) ΣΔR of three component sample σ value"

Fig.3

Model parameters σ at each wavelength"

Tab.2

Color difference between actual and predicted two-component sample"

模型
参数		 样本色差
均值		 不同允差范围内样本合格率/%
ΔECMC<1 ΔECMC<2 ΔECMC<3
σ1 1.37 37 89 93
σ3 0.95 70 93 100
σ5 1.45 26 81 93
σ6 1.79 33 59 81

Tab.3

Color difference between actual and predicted three-component sample"

模型
参数		 样本色差
均值		 不同允差范围内样本合格率/%
ΔECMC<1 ΔECMC<2 ΔECMC<3
σ2 1.52 22 83 97
σ4 1.04 72 89 97
σ5 2.10 8 58 83
σ6 1.53 14 89 97
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