Designing of engineered fabrics using particle swarm optimization

Abstract

Purpose

The purpose of this paper is to design woven fabrics with desired quality and low manufacturing cost by optimizing the weave parameters such as count, crimp and thread spacing of warp and weft yarns.

Design/methodology/approach

To fulfill this goal, the authors endeavor to devise a searching mechanism based on particle swarm optimization (PSO) for efficiently finding the appropriate combination of weave parameters.

Findings

The experimental validation confirms that the proposed method has an excellent search capacity to obtain the best combinations of weave parameters for producing the fabrics with requisite quality at low cost.

Practical implications

The quick response capability of the system would benefit the fabric manufacturers for efficient determination of the required weaving parameters to produce the engineered fabrics.

Originality/value

This paper offers a maiden application of PSO technique to design engineered products in textiles. The method is easy to implement and it is computationally inexpensive as fewer parameters are involved.

Citation

Das, S., Ghosh, A. and Banerjee, D. (2014), "Designing of engineered fabrics using particle swarm optimization", International Journal of Clothing Science and Technology, Vol. 26 No. 1, pp. 48-57. https://doi.org/10.1108/IJCST-06-2012-0033