Abstract
Subjective and objective evaluations of the handle of textile materials are very important to describe its tactile comfort for next-to-skin goods. In this paper, the applicability of artificial neural-network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) modeling approaches for the prediction of the psychological perceptions of functional fabrics from mechanical properties were investigated. Six distinct functional fabrics were evaluated using human subjects for their tactile score and total hand values (THV) using tactile and comfort-based fabric touch attributes. Then, the measurement of mechanical properties of the same set of samples using KES-FB was performed. The RMSE values for ANN and ANFIS predictions were 0.014 and 0.0122 and are extremely lower than the variations of the perception scores of 0.644 and 0.85 for ANN and ANFIS, respectively with fewer prediction errors. The observed results indicated that the predicted tactile score and THV are almost very close to the actual output obtained using the human judgment. Fabric objective measurement technology, therefore, provides reliable measurement approaches for functional fabric quality inspection, control, and design specification.
Highlights
Recent years have witnessed the exciting development of functional fabrics that can be worn next to the skin
The pinpoint for this study is to investigate the effects of the low-stress mechanical properties on the functional fabric quality as perceived by human subjects
According to the correlation coefficient results, mean deviation of coefficient of friction MMD (r≈-0.75), compressional energy WC (r≈0.70), and bending hysteresis 2HB (r≈-0.63) are the most important factor that affects the total hand value of the functional fabrics based on the sensory evaluation results provided by the panel of experts
Summary
Recent years have witnessed the exciting development of functional fabrics that can be worn next to the skin. For the wearable textile purposes, functional fabrics can be fitted with embedded electronics, computing, sensors, actuators, and communication devices which react to the human skin during wearing [1,2,3]. This is because most recently functionality has been introduced by the inclusion of functional or smart material part using either mechanically (weaving, knitting) or chemically (coating, printing, and dyeing). When designing wearable textiles, tactile comfort should not be forgotten. There have been lots of achievements in regard to the invention and the developments of functional fabrics [4,5,6,7], few or no attempts have been made on the analysis and evaluation of the tactile comfort of the functional fabrics
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