Abstract Deep-draw experiments are performed on both glass and carbon fabric both to better understand the origin of wrinkle growth during complex forming experiments and to assess the accuracy, robustness and computational cost of forming simulations of engineering fabrics. During experiments, the shape of the deformed blanks is digitised using two different non-contact measurement techniques (Structured Light Scanning and Photogrammetry). The resulting digital point clouds permit detailed analysis of wrinkle growth and shows that the simulations perform well in predicting the very different forming behaviours of the two fabrics. The sensitivity of wrinkle formation to initial conditions is demonstrated in both experiments and simulations and the direction of wrinkle growth during the forming process is shown to influence wrinkle draw-in; an observation that could potentially be used to mitigate wrinkle draw-in during actual forming processes.

中文翻译：

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工程织物的深拉伸起皱

摘要 对玻璃和碳纤维织物进行深拉实验，以更好地了解复杂成形实验中皱纹生长的起源，并评估工程织物成形模拟的准确性、鲁棒性和计算成本。在实验过程中，变形坯料的形状使用两种不同的非接触式测量技术（结构光扫描和摄影测量）进行数字化。由此产生的数字点云允许对皱纹增长进行详细分析，并表明模拟在预测两种织物非常不同的成形行为方面表现良好。实验和模拟都证明了皱纹形成对初始条件的敏感性，并且显示在形成过程中皱纹生长的方向会影响皱纹的吸收；