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Characterisation and prognosis of the capillary rise of fluids in textile structures, exemplified by wicking of sunflower oil into cotton nonwovens

机译:纺织结构流体毛细血管升预测的特征及预后,通过向棉花非织造织物芯吸油

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Although there are several methods for describing the absorption behaviour of textile structures, there is no such one yet for identifying the material and fluid parameters that are necessary for simulating the dynamics of the capillary rise of fluids in textile structures. This contribution describes a parameter identification method for a general model for wicking in capillary systems composed of a porous material and a liquid. The resulting characterisation enables modelling and optimising wicking of fluids in textile structures - not only from a static point of view, but as well from a dynamic one. With such acquired knowledge, it is possible to optimise e.g. the wicking effect or liquid absorption volume in absorber structures by modifying the product's composition, its construction, and surface finish. The contribution describes the underlying model from a physical-mathematical point of view and shows sample characterisations for vertical and horizontal wicking of sunflower oil in hydro-entangled cotton nonwovens.
机译:尽管存在诸如纺织结构的吸收行为的几种方法,但是没有这样的方法尚未识别用于模拟纺织结构中流体毛细血管升高的动态所需的材料和流体参数。该贡献描述了一种参数识别方法,用于芯片系统中的芯吸在多孔材料和液体中的一般模型。由此产生的表征使得能够在纺织结构中进行建模和优化流体的芯吸和 - 不仅来自静态的角度,而且来自动态的位置。通过这种获得的知识,可以优化例如通过改变产品的组合物,其结构和表面光洁度,吸收器结构中的芯吸效应或液体吸收体积。这些贡献描述了来自物理数学观点的底层模型,并显示了水缠绕棉质非织造织物的向日葵油垂直和水平芯吸样的样本特征。

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