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A Correlation Study Of Color Spinning Process And Color Presentation Based On Multi-dimensional Feature Analysis

Posted on:2022-11-12Degree:MasterType:Thesis
Country:ChinaCandidate:Y XiongFull Text:PDF
GTID:2481306779487124Subject:Environment Science and Resources Utilization
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The textile industry is a traditional pillar industry of China’s national economy and an important livelihood industry,as well as an industry with obvious international competitive advantages.The color spinning products,made by a mixture of two or more different color fibers,are favored by consumers because of its rich color and strong three-dimensional effect and have formed a distinctive color spinning industry.Due to the special color unit and color mechanism of color spinning products,the color characteristics are closely related to the fiber mixing ratio,spinning process parameters,and fabric structure,and there is a certain degree of color fluctuation between different regions,so it is impossible to use a fixed threshold to distinguish the color difference.To clarify the color transfer rules among dyed fibers,yarns,and fabrics,this paper constructed a spectrum characteristic evaluation system and chromaticity index evaluation system oriented to the color spinning process,as follows:(1)To clarify the influence of yarn process parameters on color transfer,a spectral similarity measure model based on Fréchet distance and shape correlation coefficient was established.The experimental results show that the spectral characteristics of dyed fibers are significantly different from those of dyed fibers due to the change of their aggregation morphology,which affects the propagation path of light and the selective absorption,reflection,or transmission effect of light.The range of chromatic aberration is 2.92~6.23.At the same time,with the increase of the yarn twist coefficient,the consistency of color is improved and has universality.(2)A variable weight spectral similarity measure model based on k-nearest neighbor space was constructed for the effect of fabric structure on color presentation characteristics of the color spinning machine.According to the contribution of different dimensional features of the spectrum,the weight coefficient of multi-dimensional feature fusion was dynamically adjusted by using k-nearest neighbor space,and the color transfer law between colored spun yarn and its woven fabric was analyzed.The experimental results show that the difference of spectral characteristics between the colored spun yarn sample and the plain weave fabric sample is the largest,the twill weave sample is the second and the satin weave sample is the least,and in a certain proportion range,the difference is significant and universal.(3)Spectral reflectance and chromaticity index have different abilities to characterize color characteristics due to their different characteristic dimensions.Given the color fluctuation of color spinning products,spectral and chromaticity index evaluation systems were constructed by using the relative difference criterion,which was used to analyze the color transfer law of the whole process of color spinning.The results show that yarn-forming and twisting treatments have the greatest influence on the relative lightness value between the fiber strip and the colored spun yarn sample.The plain texture has the most significant effect on the phase Angle,which can reach 6.47°.In addition,in the multi-dimensional feature analysis,the color variation law of spectral feature and chromatic aberration feature tends to be consistent.The research in this paper plays an important role in shortening the development time of color spinning products and improving the proofing efficiency.It has important theoretical value for color transfer and analysis modeling in the process of dyeing fiber blending,and lays a solid theoretical foundation for color digitalization and information management in color spinning industry.
Keywords/Search Tags:color spinning process, color transfer, multi-dimensional feature analysis, spectral characteristics, chromaticity index, relative difference criterion
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