Title : ( A novel technique for modeling friction behavior in knitted fabric simulation )
Authors: Vajiha Mozafary , Pedram Payvandy ,Access to full-text not allowed by authors
Abstract
Purpose – Fabric-object friction force is a fundamental factor in cloth simulation. A large number of parameters influence the frictional properties of fabrics such as fabric structure, yarn structure, and inherent properties of component fibers. The purpose of this paper is to propose a novel technique for modeling fabric-object friction force in knitted fabric simulation based on the mass spring model. Design/methodology/approach – In this technique, unlike other studies, distribution of friction coefficient over the fabric surface is not uniform and depends on the fabric structure. The main reason for considering non-uniform distribution is that in various segments of fabric, contact percent of fabric-object is different. Findings – The proposed technique and common methods based on friction coefficient uniform distribution are used to simulate the frictional behavior of knitted fabrics. The results show that simulation error values for proposed technique and common methods are 2.7 and 9.4 percent as compared with the experimental result, respectively. Originality/value –
Keywords
, Technology, Clothing, Fabric structure, Frictional behaviour, Knitted fabric, Mass spring model@article{paperid:1105286,
author = {وجیهه مظفری and Pedram Payvandy, },
title = {A novel technique for modeling friction behavior in knitted fabric simulation},
journal = {International Journal of Clothing Science and Technology},
year = {2017},
volume = {29},
number = {6},
month = {November},
issn = {0955-6222},
pages = {776--792},
numpages = {16},
keywords = {Technology; Clothing; Fabric structure; Frictional behaviour; Knitted fabric; Mass spring model},
}
%0 Journal Article
%T A novel technique for modeling friction behavior in knitted fabric simulation
%A وجیهه مظفری
%A Pedram Payvandy,
%J International Journal of Clothing Science and Technology
%@ 0955-6222
%D 2017
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