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首页> 外文期刊>Wear: an International Journal on the Science and Technology of Friction, Lubrication and Wear >Brush model to predict the friction of hairy textile fabrics from indentation measurements
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Brush model to predict the friction of hairy textile fabrics from indentation measurements

机译:刷子模型可通过压痕测量来预测毛织物的摩擦

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摘要

Many textile surfaces are characterised by emergent fibres, i.e. superficial hairiness. It is well known that hairiness plays an important role for the frictional and tactile properties of fabrics. In the present paper, we describe a brush model to predict the friction of hairy fabrics. The new model is based on the assumption that the deformation of superficial hairs during friction is equivalent to the deformation of the hairy textile structure during surface indentation or compression. The force required to compress a given number of hairs per surface unit can be measured by indentation experiments and used to predict the force required to lay down hairs during dynamic friction. Three cases of hairiness deformation are analysed: purely plastic, purely elastic and visco-elastic. For four different textile fabrics, the theoretical calculations based on visco-elastic material behaviour showed fairly good agreement with the experimental results.
机译:许多织物表面的特征是出毛纤维,即表层毛羽。众所周知,毛羽对于织物的摩擦和触觉性能起着重要作用。在本文中,我们描述了一种刷子模型来预测毛织物的摩擦。新模型基于这样的假设,即摩擦期间浅层毛发的变形等同于表面压痕或压缩期间毛状织物结构的变形。可以通过压痕实验来测量每个表面单位压缩给定数量的头发所需的力,并可以用来预测在动态摩擦过程中放下头发所需的力。分析了三种毛羽变形情况:纯塑性,纯弹性和粘弹性。对于四种不同的织物,基于粘弹性材料行为的理论计算表明与实验结果相当吻合。

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