Shrinkage prediction of plain‐knitted fabric based on deformable curve

Abstract

Purpose -The aim of this paper is to develop a new method to predict the potential shrinkage of plain-knitted fabric. Design/methodology/approach -The presented method is based on deformable curve. The delivered plain-knitted fabric is represented as a deformable parametric curve, and the relaxed fabric can be reached by minimizing the energy of the curve. Compared to the delivered-knitted fabric, the length and width shrinkage percentages can be calculated accordingly. Findings -The new method is more convenient than the traditional trial and error method, and need less-input parameters than the STARFISH technique. Experimental results show that this method is feasible. Originality/value -This paper presents a new method for shrinkage prediction of plain-knitted fabric based on deformable curve and energy minimum. The work can be linked with shrinkage control in textile industry.

Impact of wash types and stitching parameters on shrinkage of knitwear made from pique fabric

“…Similarly, the tightness of fabric and stitch density has significant effect on the stability of knitted fabric. When comparing with factors like yarn linear density and twist factor, stitch length has a direct effect on the shrinkage of knitted fabric (Singh et al, 2011;Su et al, 2008;Prakash and Thangamani, 2010).…”