The objective of this study is to analyze the characteristics of frictional sounds and to determine correlations between sound parameters and mechanical properties of fabrics classically used for protective garments. The set of samples includes six fabrics whose surface was previously worn out at different degrees using a Martindale abrasion tester. The frictional sounds were obtained by a device reproducing the friction engendered under arm during walking and were recorded and analyzed using Fast Fourier Transform (FFT) analysis. In addition, the mechanical properties of samples were measured using the Kawabata Evaluation System. The FFT spectra of fabrics showed different shapes and different noise levels according to the degree of wear. Several correlations between sound parameters and mechanical properties were highlighted. It was shown that the garment's wear increases the sound level of rustling sounds.
Fabric friction generates sounds that can be expected or uncomfortable depending on the application. Indeed, acoustic properties of fabrics depend on many parameters like the weave pattern or the surface roughness and according to these properties, sounds will be differently perceived by human ear. This study establishes a list of 16 attributes and the corresponding references and also a method step by step to train the panel to evaluate and characterize textile products. An example of application is presented to show the differences or similarities between samples with different friction speed. Therefore, this work represents a step toward the standardization of the approach to the sensory analysis of fabric friction sounds and can be applied to different space products. Practical Applications Sensory analyses are a way to objectively characterize the attributes of different products, especially textile products. Determining whether products fulfill established criteria for some attributes is important for quality control, ensuring consumer trust or drawing some correlations between mechanical and acoustic/mechanical properties. The present study aimed to set up a standardized method for the sensory analysis of fabric friction sounds of fabrics. The sensory approach developed has enabled the sensory characterization of various fabric friction sounds using the selected descriptors, making it possible to establish a sensory profile. The follow‐up study will focus on the correlations between instrumental and sensory approach. In addition, different surface treatments (softener, cross‐linker) will be used in order to observe their influence on the sensory profiles.
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