Predicting torque of worsted singles yarn using an efficient radial basis function network-based method

Tran, Canh-Dung and Phillips, David G. (2007) Predicting torque of worsted singles yarn using an efficient radial basis function network-based method. Journal of The Textile Institute, 98 (5). pp. 387-396. ISSN 0040-5000

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Abstract

The torque in single-spun yarns is an inherent property of the twisting and bending of staple fibres during the formation of yarn combined with the effect of applied tension on the yarn. The consequences of yarn torque are well known and are widely observed as yarn instability, e.g., yarn rotation under tension; local snarling and entanglement at low loads, and as distortion in fabric, i.e., edge-curl and skewing in knitted fabric. In this paper, a method for predicting the yarn torque based on the radial basis function networks is presented and evaluated. This method uses a 'universal approximator' based on neural network methodology to minimize noise during training of the network and to approximate the yarn torque as a function of the geometrical and physical parameters of yarns (twist, linear density) and the applied load. The current method is an integral radial basis function network-based approach suitable for textile engineering and gives very good prediction of yarn torque across a range of yarn structural parameters and test conditions.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Accepted version deposited in accordance with the copyright policy of the publisher (Taylor & Francis).
Depositing User: Dr Canh-Dung Tran
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - No Department
Date Deposited: 11 Sep 2011 04:24
Last Modified: 03 Jul 2013 00:28
Uncontrolled Keywords: radial basis function networks; feed forward neural networks; yarn structural parameters; yarn instability; intrinsic torque
Fields of Research (FOR2008): 01 Mathematical Sciences > 0103 Numerical and Computational Mathematics > 010301 Numerical Analysis
09 Engineering > 0910 Manufacturing Engineering > 091012 Textile Technology
09 Engineering > 0913 Mechanical Engineering > 091307 Numerical Modelling and Mechanical Characterisation
Socio-Economic Objective (SEO2008): B Economic Development > 86 Manufacturing > 8604 Leather Products, Fibre Processing and Textiles > 860406 Synthetic Fibres, Yarns and Fabrics
Identification Number or DOI: doi: 10.1080/00405000701475650
URI: http://eprints.usq.edu.au/id/eprint/18302

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