Finite element analysis study of parameters influencing the Poisson’s ratio of auxetic woven fabrics

Yajie Gao, Xiaogang Chen
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Abstract

Auxetic textiles, as one of the synthetic auxetic materials, have attracted much research interest in recent years due to their material adaptability and structural variability. Based on the experimental results reported in our previous papers, the auxetic behavior of woven fabrics was further investigated and the key factors affecting weaving the fabrics were studied systematically by using a combination of experiments and numerical simulation. In this paper, different types of woven fabrics were compared based on finite element analysis and the key parameters influencing the Poisson’s ratio were analyzed, including the helical auxetic yarn (HAY) arrangements, fabric density, helical angles of the HAY, thickness of the HAY, weave structures, warp yarn types and loading directions. The auxeticity of the fabrics was first analyzed out-of-plane and in-plane. The results showed that the maximum negative Poisson’s ratio can be achieved as −3.57 out-of-plane and −1.17 in-plane. The out-of-plane auxeticity of the fabric is notable, which could provide a reference for industry and researchers for potential applications.
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对影响织物泊松比参数的有限元分析研究
织物助剂作为合成助剂材料之一,因其材料适应性强、结构多变等特点,近年来备受研究关注。在以往论文所报道的实验结果基础上,我们进一步研究了机织物的助剂行为,并通过实验和数值模拟相结合的方法,系统地研究了影响机织物织造的关键因素。本文基于有限元分析比较了不同类型的机织物,分析了影响泊松比的关键参数,包括螺旋辅助纱(HAY)排列、织物密度、HAY 螺旋角、HAY 厚度、编织结构、经纱类型和加载方向。首先分析了织物在平面外和平面内的辅助性。结果表明,面外最大负泊松比为-3.57,面内最大负泊松比为-1.17。织物的平面外辅助eticity 非常显著,可为工业界和研究人员的潜在应用提供参考。
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