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Prediction and Control of Wrinkles on Fabric Via Wavelet Analysis and Neural Networks

Dariush Semnani (Textile Department, Isfahan University of Technology, Iran, )
Mohammad Sheikhzadehand (Textile Department, Isfahan University of Technology, Iran, )
Ata Shahanaghi (Textile Department, Isfahan University of Technology, Iran, )
Mehdi Hadjianfar (Textile Department, Isfahan University of Technology, Iran, )

Research Journal of Textile and Apparel

ISSN: 1560-6074

Article publication date: 1 November 2014

Abstract

To produce wrinkled fabrics, wrinkles are randomly formed without any means of control. There are many research that aim to enhance the surface of fabric in appearance, but there has not been any work carried out to produce wrinkles by using yarn features. The aim of the present research is to produce controlled and custom-made wrinkled fabrics. Wrinkled fabric samples have been produced with high shrinkage polyester-cotton made of intermingled hybrid yarns. Wrinkled weaves have been predicted by using wavelet analysis on sample fabrics and multi-layer perceptron neural networks. The designed network has been trained based on sample patterns and determined a weft insertion plan for producing wrinkles with an acceptable accuracy

Keywords

Citation

Semnani, D., Sheikhzadehand, M., Shahanaghi, A. and Hadjianfar, M. (2014), "Prediction and Control of Wrinkles on Fabric Via Wavelet Analysis and Neural Networks", Research Journal of Textile and Apparel, Vol. 18 No. 4, pp. 15-25. https://doi.org/10.1108/RJTA-18-04-2014-B002

Publisher

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Emerald Group Publishing Limited

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