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Staple Yarns
Published in Tom Cassidy, Parikshit Goswami, Textile and Clothing Design Technology, 2017
Worsted yarns are finer and smoother than their woolen spun counterparts. Worsted/roller-drafted yarns are used for by far the majority of handknitting yarns, although cotton/short-staple yarns are also used. Woolen spun yarns, which will be discussed next, are rarely used in the market. If the reader wants to observe a very effective comparison, then he or she can locate a woolen spun lambswool sweater and a botany worsted sweater. Both will have been knitted with yarns of similar quality yarns, in terms of fineness, but the clarity of the knitted loops in the botany will be much higher, the botany will also tend to look smarter and will be less prone to abrasion. Fine suiting is made from worsted spun yarns and tweed jackets are made from woolen spun yarns.
Objective rating method for fabric pilling based on LSNet network
Published in The Journal of The Textile Institute, 2023
Jun Wu, Qiuwei Liu, Zhitao Xiao, Fang Zhang, Lei Geng
The main contributions of this article are as follows: A total of 64109 different grades of pilling images of six fabrics were produced. The types of fabrics include woven fabrics, knitted fabrics, and non-woven fabrics. Woven fabrics include pure woven fabrics and blended woven fabrics, and knitted fabrics include semi-worsted knitted fabric. Woolen knitted fabrics and semi-worsted wool knitted fabrics.Designed the LSNet network structure. The network model includes S1 Branch and S2 Branch. S1 Branch improves SqueezeNet by replacing the ordinary convolution in the Fire module with a depth separable convolution to reduce the number of parameters. The attention mechanism makes the network pay more attention to contextual information; S2 Branch adds short connections to the original ShuffleNet network to enhance the network’s ability to extract image information. In addition, this paper proves the reliability of LSNet’s objective rating of fabric pilling from two aspects: heat map and feature map.