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首页> 外文期刊>The Journal of the Textile Institute. 1, Fibre Science and Textile Technology >Bagging of Woven Fabrics: The Rheological Mechanism and Predictions
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Bagging of Woven Fabrics: The Rheological Mechanism and Predictions

机译:机织织物的袋装:流变机理和预测

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The influence of fibre, yarn, and fabric properties on the bagging behaviour of woven fabrics is studied by developing rheological models and comparing them with the results of statistical analysis on experimental measurements. Three rheological models are developed to describe the bagging-deformation features at different stages of bagging processes, from which three types of deformation energy are identified: elastic and viscoelastic energies of the fibres, and the frictional-deformation energy resulting from the frictional slippage between fibres and yarns. To evaluate the theoretical analysis, 24 fabrics were tested to determine their bagging behaviour, the mechanical properties of constituent fibres and yarns, and fabric structural features. Statistical regression analysis is applied to derive the parameters describing bagging fatigue and their relationships with the fibre and yarn mechanical properties and fabric structural features. A comparison of the experimental results with the theoretical analysis indicates that a decrease in the work of loading with repeated bagging deformation resulted from two basic causes: the stress relaxation of the fibres due to the fibres' viscoelastic behaviour and the friction between fibres and between yarns due to frictional restraints inherent in the fabric structures. The three parameters (Q_0, U, δ) describing the fabric-fatigue process are shown to be dependent on fibre and yarn mechanical properties and fabric structural parameters, such as fabric thickness, weight, cover factor, and interlacing points. Using the regression equations for the three parameters (Q_0, U, δ), we show that the bagging-fatigue behaviour and fabric-residual-bagging height are predictable from the fundamental fibre and yarn mechanical properties and fabric structural parameters, indicating that a subjective perception of fabric-bagging is also predictable from the parameters.
机译:通过开发流变模型并将其与实验测量的统计分析结果进行比较,研究了纤维,纱线和织物性能对机织袋装性能的影响。建立了三种流变模型来描述在不同装袋过程中的装袋变形特征,从中识别出三种变形能:纤维的弹性和粘弹性能,以及纤维之间的摩擦滑移产生的摩擦变形能。和纱线。为了评估理论分析,对24种织物进行了测试,以确定其袋装性能,组成纤维和纱线的机械性能以及织物的结构特征。应用统计回归分析来得出描述袋装疲劳及其与纤维和纱线机械性能以及织物结构特征之间关系的参数。将实验结果与理论分析进行比较表明,重复装袋变形会降低加载功,这是由于两个基本原因:纤维的粘弹性行为导致纤维的应力松弛以及纤维之间以及纱线之间的摩擦由于织物结构固有的摩擦约束。示出了描述织物疲劳过程的三个参数(Q_0,U,δ)取决于纤维和纱线的机械性能以及织物结构参数,例如织物厚度,重量,覆盖系数和交织点。使用三个参数(Q_0,U,δ)的回归方程,我们表明,从基本的纤维和纱线力学性能以及织物结构参数可以预测套袋疲劳行为和织物残余袋装高度,这表明从这些参数还可以预测织物的装袋感。

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