Using Genetic Programming to Predict the Macroporosity of Woven Cotton Fabrics
- 1 March 2002
- journal article
- Published by SAGE Publications in Textile Research Journal
- Vol. 72 (3), 187-194
- https://doi.org/10.1177/004051750207200301
Abstract
This paper reports the effect of woven fabric construction on macroporosity properties. The area of a macropore's cross section, equivalent, maximum, and minimum pore diameters, pore density, and open porosity are observed in this research involving woven fabric construction parameters—yarn linear density, fabric tightness, weave type, and denting. Predictive models, determined by genetic programming, are derived to describe the influence of fabric construction. The results show very good agreement between the experimental and predicted values. This work provides guidelines for engineering staple- yarn cotton fabrics in a grey state in terms of macroporosity properties.Keywords
This publication has 4 references indexed in Scilit:
- A genetic-based approach to simulation of self-organizing assemblyRobotics and Computer-Integrated Manufacturing, 2001
- Modeling of forming efficiency using genetic programmingJournal of Materials Processing Technology, 2001
- Genetic ProgrammingLecture Notes in Computer Science, 1998
- Handbook of Evolutionary ComputationPublished by Taylor & Francis ,1997