Analysis of curve parameters to characterize multidirectional fabric wrinkling by a double extraction method. Issue 15 (August 2019)

• Record Type: Journal Article
• Authors: Sun, Fengxin; Guo, Mingrui; Hu, Xiaorui; Wang, Lei; Gao, Weidong
• Is Part Of: Textile research journal. Volume 89:Issue 15(2019)
• Page Start: 2973
• Page End: 2982
• Publication Date: 2019-08
• Subjects: fabric wrinkle -- double extraction method -- curve parameters -- cluster analysis; Textile industry -- Periodicals; Textile fabrics -- Periodicals; Textile research -- Periodicals; Textiles et tissus -- Industrie et commerce -- Périodiques; Textiles et tissus -- Périodiques; Textiles et tissus -- Recherche -- Périodiques; Electronic journals; 677.005
• DOI: 10.1177/0040517518805372
• Languages: English
• ISSNs: 0040-5175

Abstract

Fabrics with good shape-retention properties are strongly expected to improve the aesthetic feeling, comfort and easy-care performance of clothing in daily life, and the efficient characterization of the wrinkle recovery property of fabrics is a necessary approach to facilitate the development of garments with good shape retention. Here, a double extraction method was presented to evaluate fabric wrinkling based on the wrinkling-induced residual force–displacement curves. The correlation analysis was used to determine applicable evaluation indices in order to cluster the wrinkle recovery property of fabrics based on a K -means clustering algorithm. Moreover, subjective judgements were conducted and compared with the objective K -means cluster method. The results show that there is good consistency between objective K -means clustering and subjective judgements, indicating that the indices featured from wrinkling-induced residual force–displacement curves can be used to evaluate the wrinkle recovery of fabrics. Therefore, the double extraction method is a starting point for the rapid identification of wrinkle recovery of fabrics by the mechanical performance of textiles.