Measurement of fabric handle characteristics based on the Quick-Intelligent Handle Evaluation System for Fabrics (QIHES-F)

Abstract

A quick-intelligent handle evaluation system for fabrics (QIHES-F) was developed to evaluate tactile perceptions of fabric by measuring thickness and multiple mechanical properties of fabrics via a single testing process. The main aim dealt with in this study was to establish optimal and suitable regression models by a stepwise regression method based on the QIHES-F and human sensations of fabrics, thereby estimating total handle values effectively. Subjective evaluation by American Association of Textile Chemists and Colorists EP5-2007 and objective tests by QIHES-F of a wide range of 50 fabrics were conducted, to predict fabric handle from four primary handle characteristics and total handle values. Five prediction models corresponding to the fullness, stiffness, roughness, tightness and total handle of fabrics were built based on featured indexes to analyze the relationship between the subjective handle and experimental curve parameters. The indexes were featured from the force-displacement curves of QIHES-F. The results show that these featured indexes can be treated as indicators to characterize fabric properties, and that the five corresponding prediction models can predict handle characteristics of fabrics reliably, as the Pearson’s coefficients and adjusted coefficients are high. They indicate that QIHES-F can directly and accurately obtain fabric handle values and can evaluate the grades of fabric quality.

Keywords

fabric handle QIHES-F total handle values subjective evaluation

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