Modelling of Auxetic Woven Structures for Composite Reinforcement

Shivangi Shukla, B. Behera, R. Mishra, M. Tichý, V. Kolář, M. Müller
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引用次数: 2

Abstract

The current research is focused on the design and development of auxetic woven structures. Finite element analysis based on computational modeling and prediction of axial strain as well as Poisson’s ratio was carried out. Further, an analytical model was used to calculate the same parameters by a foldable zig-zag geometry. In the analytical model, Poisson’s ratio is based on the crimp percentage, bending modulus, yarn spacing, and coefficient of friction. In this yarn, properties and fabric parameters were also considered. Experimental samples were evaluated for the actual performance of the defined auxetic material. Auxetic fabric was developed with foldable strips created in a zig-zag way in the vertical (warp) direction. It is based on the principle that when the fabric is stretched, the unfolding of the folds takes place, leading to an increase in transverse dimensions. Both the analytical and computational models gave close predictions to the experimental results. The fabric with foldable strips created in a zig-zag way in the vertical (warp) direction produced negative Poisson’s ratio (NPR), up to 8.7% of axial strain, and a maximum Poisson’s ratio of −0.41 produced at an axial strain of around 1%. The error percentage in the analytical model was 37.14% for the experimental results. The computational results also predict the Poisson’s ratio with an error percentage of 22.26%. Such predictions are useful for estimating the performance of auxetic woven structures in composite reinforcement. The auxetic structure exhibits remarkable stress-strain behavior in the longitudinal as well as transverse directions. This performance is useful for energy absorption in composite reinforcement.
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复合材料增强结构的辅助编织模型
目前研究的重点是增塑型编织结构的设计与开发。基于轴向应变和泊松比的计算建模和预测进行了有限元分析。进一步,采用解析模型,通过可折叠之字形几何计算相同的参数。在解析模型中,泊松比是基于卷曲百分比、弯曲模量、纱线间距和摩擦系数。该纱线还考虑了纱线的性能和织物参数。对实验样品的实际性能进行了评估。在垂直(经线)方向上以之字形的方式形成可折叠的条状织物。它的原理是,当织物被拉伸时,褶皱展开,导致横向尺寸增加。分析模型和计算模型对实验结果的预测都很接近。在垂直(经线)方向上以之字形形成可折叠条的织物产生负泊松比(NPR),高达8.7%的轴向应变,在轴向应变约为1%时产生的最大泊松比为- 0.41。分析模型的实验误差为37.14%。计算结果对泊松比的预测误差为22.26%。这样的预测对于估计复合材料增强中复合编织结构的性能是有用的。在纵向和横向上均表现出显著的应力-应变特性。这种性能有利于复合材料的吸能。
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