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Fibres & Textiles in Eastern Europe
Article . 2016 . Peer-reviewed
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Prediction of Compression Properties of Single Jersey Weft-knitted Fabric by Finite Element Analysis Based on the Hyperfoam Material Model

Authors: Zeynab Soltanzadeh; Najar Shaikhzadeh; M. Haghpanahi; M. Mohajeri-Tehrani;

Prediction of Compression Properties of Single Jersey Weft-knitted Fabric by Finite Element Analysis Based on the Hyperfoam Material Model

Abstract

A 3-D finite element model based on the hyperfoam material model was developed in or der to predict the compression behaviour of knitted fabrics in a large deformation state. The degree of compressibility of the fabric is determined by the extent of its volume reduction under external pressure. The compression properties of nine produced knitted fabrics at eight pressure values (2.04, 5.10, 10.19, 20.39, 50.97, 101.94, 152.90, and 203.87 kPa) were measured using a fabric thickness tester and results were compared with finite ele ment results. The FEM results of fabric thickness changes (∆T) and fabric compressibility (EMC) showed good agreement with experimental results, with an average error of 5 and 4.9 percent, respectively. However, the results of fabric linearity of the compression (LC) and work of compression (WC) showed fair agreement, with an average error of 24.5 and 24 percent, respectively.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Average
gold