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原液着色涤/粘双组分双色纤维混配色研究

Study on Color Matching of Polyester/Viscose Bi-Component Bi-Color Fiber Dyed withOriginal Solution
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摘要 为了提高涤/粘双组分色纺纱配色效率,运用Kubelka-Munk理论,通过K/S值的计算,构建一种双组分双色混配色模型。以3种单色涤纶短纤维和3种单色粘胶短纤维为研究对象,分别选择1种涤纶和1种粘胶纤维形成3种双组分搭配方式,并按9种不同混合比例共形成27种混色纤维样品,运用Kubelka-Munk理论对6种单色纤维及27种混色纤维的K/S值的加和性进行研究。结果表明:在可见光范围内,涤/粘双组分不同比例混合的K/S值,总是介于该波长下的2个不同组分单色纤维的K/S值之间,且对于蓝T/红R混配时,除个别预测偏差较大外,总体效果好,黄T/蓝R以及红T/黄R,均呈现预测偏差两头小中间大的特征。 In order to improve the color matching efficiency of polyester/viscose bi-component color spinning,proposed based on Kubelka-Munk theory,through the calculation of K/S values,a two-color mixed color model is constructed.Three kinds of monochrome polyester staple fiber and three kinds of monochrome viscose staple fiber were studied,one polyester fiber and one viscose fiber were selected to form three bi-component matching,and 27 kinds of mixed fiber samples were formed according to 9 different mixing ratios,the additivity of K/S values of 6 monochromatic fibers and 27 mixed fibers was studied by using Kubelka-Munk theory.The results show that in the visible light range,the K/S value of the mixture of polyester/viscose two components at different proportions is always between the K/S value of the two monochromatic fibers at the same wavelength,and for blue T/red R,the overall effect is good except for the large deviation of individual prediction,yellow T/blue R and red T/yellow R showed the characteristics of small prediction deviation at both ends and large in the middle.
作者 李少聪 王旭 方寅春 张文强 彭旭光 石荣亮 LI Shao-cong;WANG Xu;FANG Yin-chun;ZHANG Wen-qiang;PENG Xu-guang;SHI Rong-liang(College of Textile and Clothing,Anhui Polytechnic University,Wuhu Anhui 241000,China;Chuzhou Xiake Non-dyeing Color Spining Company Limited,Chuzhou Anhui 239000,China)
出处 《武汉纺织大学学报》 2023年第5期17-24,共8页 Journal of Wuhan Textile University
基金 安徽工程大学横向项目(HX-2021-11-003) 安徽工程大学横向项目(HX-2022-05-011)。
关键词 涤/粘双组分 色纺纱混配色 K/S KUBELKA-MUNK理论 颜色预测 polyester/viscose bi-component color spinning yarn blending K/S Kubelka-Munk theory color prediction
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