A research on the investigation of physical properties of polyester/cotton fabrics

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.

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“…Parameters that affect the comfort characteristics of fabrics have been studied by many researchers. [1][2][3][4][5][6][7][8][9] The clothing comfort depending on these parameters is evaluated within the clothing physiology. [10][11][12] The aim of the science of clothing physiology is to create rules for clothing design and production which will not affect the comfort and working efficiency of the person negatively and even contribute to the healing, taking into consideration the fashion and sales parameters.…”