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Fibre Text
The surface structure of a fabric not only affects the style, appearance and weaving process of the fabric, but also has an important influence on the performance and comfort of the garment it is processed on. The surface friction properties of fabrics are one of the important mechanical characteristics in the evaluation of fabric feel and can provide an important scientific basis for the performance evaluation and quality control of fabrics. The system consists of a test module and a control module, which can dynamically test the changes in positive pressure and multiple directions in real time. The test process is controlled in real time by the measurement and control software in the control module, which also displays the numerical magnitude and variation curves of the friction coefficient, positive pressure and friction force. The coefficient of variation (CV) of the coefficient of friction for fabrics with different test speeds at the same time is less than 10 % for normal experiments on fabrics. After five repeatable tests using cotton, polyester-cotton and polyester fabrics, the mean values of the coefficient of friction for the three fabrics were very close and the instrument showed good stability and repeatability. In comparison tests with the KES fabric style meter test system, the coefficient of friction curves for cotton fabrics measured by both instruments were consistent, with the mean values fluctuating slightly around 0.23. After five tests, the inter-group CV of the surface friction coefficient of the fabric was only 0.88 %. A correlation analysis of the surface roughness of the fabric using the data processing method and the roughness signal obtained from the KES direct test showed a correlation coefficient greater than 0.8 and a slope of the linear regression line greater than 1, demonstrating the high correlation between the indirect test method using data processing and the direct test of the mechanical test.
Fibers and Polymers – Springer Journals
Published: Aug 1, 2022
Keywords: Fabric; Friction coefficient; Surface roughness; Wavelet analysis; Power spectrum estimation
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