A GA-Based Approach to Elastic Property Design for Woven Fabric

Abstract:

The aim of this study is focused on development and presentation of an intelligent system with a searching mechanism based on GA and an evaluation mechanism based on SAM geometrical model to help a designer design various expected innovative textile product. The search mechanism can efficiently find many manufacture solutions for the fabric, after each of which being evaluated by the evaluation mechanism, there an optimum (or approach to optimum) solution can be obtained. The system can facilitate the fabrics designer to obtain the best combination of weaving parameter during the elastic properties of the fabric (i.e., Young's modulus) being taken into consideration in design. Besides, the system can figure out the other essential characteristics, e.g., the fractional cover and the weight per area (g/100 cm²) of the fabric manufactured by each set of surveyed solution to provide the designer with selections of the functionality of the developing woven fabrics. Through the assistance of the intelligent system, it can become more efficient for a designer to directly idealize his (her) design concept without any sample manufacturing beforehand in a textile product designing. The textile material genome initiative can thus be approved and fulfilled in the near future.

• Periodical: Applied Mechanics and Materials (Volumes 411-414)
• Pages: 3107-3112
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.411-414.3107
• Online since: September 2013
• Authors: Jeng Jong Lin
• Keywords: Elastic Property, Fractional Cover, Genetic Algorithm (GA), Geometrical Model, Weaving Parameters

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