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Shrinkage prediction of plain-knitted fabric based on deformable curve

Release Time:2019-03-10  Hits:

Indexed by: Journal Article

Date of Publication: 2008-01-01

Journal: INTERNATIONAL JOURNAL OF CLOTHING SCIENCE AND TECHNOLOGY

Included Journals: SCIE

Volume: 20

Issue: 4

Page Number: 222-230

ISSN: 0955-6222

Key Words: textiles; predictive process; fabric testing

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.

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