Predicting the Stitch Density of Finished Fabrics Using Weft Blended Grey Knit Fabrics  

作　　者：Kazi Md. Elias Mohammad Obaidur Rahman H. M. Zakir Hossain Kazi Md. Elias;Mohammad Obaidur Rahman;H. M. Zakir Hossain(Department of Physics, Jahangirnagar University, Savar, Bangladesh;Jute Textile Wing, Bangladesh Jute Research Institute, Dhaka, Bangladesh)

机构地区：[1]Department of Physics, Jahangirnagar University, Savar, Bangladesh [2]Jute Textile Wing, Bangladesh Jute Research Institute, Dhaka, Bangladesh

出　　处：《Journal of Textile Science and Technology》2024年第3期51-63,共13页纺织科学与技术（英文）

摘　　要：Stitch density is one of the critical quality parameters of knit fabrics. This parameter is closely related to other physical quality parameters like fabric weight, fabric tightness factor, fiber types, blend ratio, yarn diameter and linear density, and fabric structure. Selecting stitch density (wales per inch, course per inch) is essential to getting the appropriate fabric weight and desired quality. Usually, no rules or assumptions exist to get the desired stitch density in the finished fabric stage. Fifteen types of blended knit fabrics were prepared to conduct the study. The varying percentages of cotton, polyester, and elastane are incorporated in the blends. Regression analysis and regression ANOVA tests were done to predict the stitch density of finished fabrics. A suitable regression equation is established to get the desired results. The study also found that the stitch density value in the finished stage fabric decreases by approximately 15% compared to the stitch density in the grey fabric stage. This study will help the fabric manufacturers get the finished fabric stitch density in advance by utilizing the grey fabric stitch density data set. The author expects this research to benefit the knitting and dyeing industry, new researchers, and advanced researchers.Stitch density is one of the critical quality parameters of knit fabrics. This parameter is closely related to other physical quality parameters like fabric weight, fabric tightness factor, fiber types, blend ratio, yarn diameter and linear density, and fabric structure. Selecting stitch density (wales per inch, course per inch) is essential to getting the appropriate fabric weight and desired quality. Usually, no rules or assumptions exist to get the desired stitch density in the finished fabric stage. Fifteen types of blended knit fabrics were prepared to conduct the study. The varying percentages of cotton, polyester, and elastane are incorporated in the blends. Regression analysis and regression ANOVA tests were done to predict the stitch density of finished fabrics. A suitable regression equation is established to get the desired results. The study also found that the stitch density value in the finished stage fabric decreases by approximately 15% compared to the stitch density in the grey fabric stage. This study will help the fabric manufacturers get the finished fabric stitch density in advance by utilizing the grey fabric stitch density data set. The author expects this research to benefit the knitting and dyeing industry, new researchers, and advanced researchers.

关 键 词：Wales per Inch Course per Inch Stitch Density BLENDED Knit FABRIC 

分 类 号：TS1[轻工技术与工程—纺织科学与工程]