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Abstract

The aim of this study is to reach closer results to the actual measurements by using artificial neural networks in evaluating the properties of single and double layer woven fabrics that affect the end user. The variation of the most important parameters such as breaking strength, weight, thickness, tearing strength properties to meet the end user's needs depending on the yarn count and the weaving type was investigated. In the fabrics produced in this study, cotton yarn was used as weft yarn in three different numbers and 90 denier polyester yarns were used as warp yarn. Plain, twill, panama, warp rips and satin were used as weaving type. Fabrics were weaved in three different weft frequencies. Evaluations using artificial neural networks were found to give closer results to the actual measurements.Citation: Turker E, Turan NY. A research on the investigation of physical properties of polyester/cotton fabrics.Citation: Turker E, Turan NY. A research on the investigation of physical properties of polyester/cotton fabrics.