Multi-response optimization of thermophysiological comfort properties of polyester filament woven fabrics

Microfilament woven fabrics are used in many products such as sportswear, rainclothes, windproof clothes, sleeping bags and surgical gowns and for these products, thermophysiological comfort properties are of prime importance. In this study, it is intended to investigate the effects of filament linear density and weft sett on thermophysiological comfort properties. Also, an optimization model was developed to determine the optimum filament linear density and weft sett for the best response variables of air permeability, water vapour permeability and thermal resistance. Four different weft sett and five different filament linear densities were applied in weft direction with three different weave types. In doing so, 60 woven fabric samples were produced. According to ANOVA results and experimental observations, it is observed that, the effect of filament linear density on air and water vapour permeability was minor on microfilament range, whereas the differences between conventional filament and microfilament sample groups are considerable. Also, higher weft sett causes decreasing of air and water vapour permeability. On the other hand, there is no obvious consistent trend for thermal resistance of samples with different filament linear density and weft sett.