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

机译:聚酯长丝机织物热生理舒适性的多响应优化

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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.
机译:微丝机织织物用于许多产品中,例如运动服,雨衣,防风服,睡袋和手术服,对于这些产品,热生理舒适性至关重要。在这项研究中,旨在研究细丝线密度和纬纱沉降对热生理舒适性的影响。此外,还开发了一个优化模型,以确定透气度,水蒸气透过率和热阻的最佳响应变量的最佳长丝线密度和纬纱沉降量。在纬纱方向上使用三种不同的编织类型应用四种不同的纬纱沉降量和五种不同的长丝线密度。这样,生产了60个机织织物样品。根据ANOVA结果和实验观察,观察到,细丝线密度对空气和水蒸气渗透率的影响在微丝范围上较小,而常规细丝和微丝样品组之间的差异是相当大的。同样,较高的纬纱沉降会降低空气和水蒸气的渗透性。另一方面,具有不同细丝线密度和纬纱沉降量的样品的热阻没有明显的一致趋势。

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