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Effect of tackification on in-plane shear behaviours of biaxial woven fabrics in bias extension test: Experiments and finite element modeling
Composites Science and Technology ( IF 9.1 ) Pub Date : 2018-05-01 , DOI: 10.1016/j.compscitech.2018.02.016
Xiaoran Zhao , Gang Liu , Ming Gong , Jiupeng Song , Yan Zhao , Shanyi Du

Abstract As one of the most reliable tests for fabric in-plane deformation characterization, bias extension test is widely accepted as following the Pin-Joint-Net assumption. Hence, researchers always take in-plane shear behaviour of tackified woven fabrics following that assumption for granted. However, it is lack of evidence. In this paper, based on the distinctive load fluctuation observed during bias extension and picture frame tests of CF3031 biaxial woven fabrics with varying tackifier content, we established a new model called “Gradual Deformation Model” as deformation assumption to describe the different bias extension behaviours of tackified woven fabrics instead of Pin-Joint-Net assumption. The model validation was implemented sufficiently via digital image correlation technology and finite element analysis. Due to the good correlation between experimental and numerical results, it is reasonable to claim that the main effect of tackification on in-plane shear behaviours is the formation of great resistance to inter-tow shear, inter-tow sliding and cross-over point sliding.

中文翻译:

在斜向拉伸试验中增粘对双轴机织物面内剪切行为的影响:实验和有限元建模

摘要 作为织物面内变形表征最可靠的测试之一,偏置扩展测试被广泛接受为遵循 Pin-Joint-Net 假设。因此,研究人员总是将粘性机织物的面内剪切行为视为理所当然。然而,它缺乏证据。在本文中,基于在具有不同增粘剂含量的 CF3031 双轴机织物的偏置拉伸和画框测试过程中观察到的独特载荷波动,我们建立了一个称为“渐变变形模型”的新模型作为变形假设来描述不同的偏置拉伸行为增粘机织物而不是 Pin-Joint-Net 假设。通过数字图像相关技术和有限元分析充分实现了模型验证。
更新日期:2018-05-01
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