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Fibers 2015, 3(1), 1-11; doi:10.3390/fib3010001

Porosity Prediction of Plain Weft Knitted Fabrics

1
School of Textiles and Design, Heriot-Watt University, Scotland, TD1 3HF, UK
2
Department of Textile Engineering, NED University of Engineering and Technology, Karachi 75270, Pakistan
*
Author to whom correspondence should be addressed.
Academic Editor: Rimvydas Milasius
Received: 26 November 2014 / Accepted: 19 December 2014 / Published: 30 December 2014
View Full-Text   |   Download PDF [579 KB, uploaded 30 December 2014]   |  

Abstract

Wearing comfort of clothing is dependent on air permeability, moisture absorbency and wicking properties of fabric, which are related to the porosity of fabric. In this work, a plug-in is developed using Python script and incorporated in Abaqus/CAE for the prediction of porosity of plain weft knitted fabrics. The Plug-in is able to automatically generate 3D solid and multifilament weft knitted fabric models and accurately determine the porosity of fabrics in two steps. In this work, plain weft knitted fabrics made of monofilament, multifilament and spun yarn made of staple fibers were used to evaluate the effectiveness of the developed plug-in. In the case of staple fiber yarn, intra yarn porosity was considered in the calculation of porosity. The first step is to develop a 3D geometrical model of plain weft knitted fabric and the second step is to calculate the porosity of the fabric by using the geometrical parameter of 3D weft knitted fabric model generated in step one. The predicted porosity of plain weft knitted fabric is extracted in the second step and is displayed in the message area. The predicted results obtained from the plug-in have been compared with the experimental results obtained from previously developed models; they agreed well. View Full-Text
Keywords: plug-in; porosity; plain weft knitted fabric; multifilament; python script plug-in; porosity; plain weft knitted fabric; multifilament; python script
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Siddiqui, M.O.R.; Sun, D. Porosity Prediction of Plain Weft Knitted Fabrics. Fibers 2015, 3, 1-11.

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