Please use this identifier to cite or link to this item:
Title: Shrinkage prediction of plain‐knitted fabric based on deformable curve
Authors: Su, Z
Zhou, X
Zhao, G
Liu, X
Choi, KF
Keywords: Textiles
Predictive process
Fabric testing
Issue Date: 2008
Publisher: Emerald Group Publishing Limited
Source: International journal of clothing science and technology, 2008, v. 20, no. 4, p. 222-230 How to cite?
Journal: International journal of clothing science and technology 
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.
ISSN: 0955-6222
EISSN: 1758-5953
DOI: 10.1108/09556220810878847
Appears in Collections:Journal/Magazine Article

View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

Last Week
Last month
Citations as of Aug 13, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.