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Prediction of fabric hand characteristics using extraction principle

机译:利用提取原理预测织物手形

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Prediction of fabric handle characteristics using extraction principle has been studied. An instrument for objective measurement of fabric handle characteristics has been developed using nozzle extraction method. This instrument measures the force exerted on the periphery of the nozzle by the fabric being drawn out of the nozzle on the periphery of the nozzle. This force, called the radial force, is a measure of the certain low stress mechanical characteristics of the fabric that determine handle. The instrument also measures the force required to extract the fabric through the nozzle. Woven fabric samples have been sourced from industry and categorized into suiting and shirting fabrics. The fabric samples were also tested in KES-F system. An attempt has been made to predict the shear force and bending rigidity by using artificial neural network. It has been observed that there are very good correlations between the extraction force values and the various KES-F parameters. The fabric extraction force obtained through nozzle extraction instrument is found to be well enough to predict fabric handle/feel value.
机译:研究了利用提取原理预测织物手感的方法。已经开发了使用喷嘴提取方法客观测量织物手感的仪器。该仪器测量通过将织物从喷嘴周边上的喷嘴中抽出而施加在喷嘴周边上的力。该力称为径向力,是确定织物手感的某些低应力机械特性的量度。仪器还测量通过喷嘴抽出织物所需的力。机织织物样品已从行业采购,并分为西服面料和衬衫面料。织物样品也在KES-F系统中进行了测试。已经尝试通过使用人工神经网络来预测剪切力和弯曲刚度。已经观察到,提取力值与各种KES-F参数之间具有非常好的相关性。发现通过喷嘴抽出仪器获得的织物抽出力足以预测织物的手感/感觉值。

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