Predicting consolidation-induced wrinkles and their effects on composites structural performance
Predicting consolidation-induced wrinkles and their effects on composites structural performance
复制标题
预测固结引起的皱纹及其对复合材料结构性能的影响
DOI：
--
复制
发表时间：
2019
影响因子：
2.4
通讯作者：
S. Hallett
中科院分区：
文献类型：
--
作者：
B. Várkonyi;J. Belnoue;J. Kratz;S. Hallett
如今，大多数高性能复合材料部件都是使用先进的数值模拟来设计的，这些模拟能够准确地预测部件的强度和变形，前提是内部层结构和精确的纤维取向是足够准确的。然而，大多数部件的纤维取向与“设计”几何形状有一些偏差，导致模拟高估了部件的强度。直到最近，工艺模拟工具的进步还不足以在制造任何部件之前了解这种纤维偏差，从而导致过度保守的设计和昂贵的制造工艺实验优化，以减少纤维路径缺陷。这导致额外的成本、材料浪费和增加的燃料消耗（由于部件的不必要的重量）。本文展示了如何国家的最先进的复合材料制造模拟的高压釜固结过程中可以预测和帮助减轻对平面外的皱纹形成的组件由增韧UD的玻璃，从而提高故障分析预测的信心。工业相关的情况下，阶梯层压板被用作一个例子。内部层几何形状的模型预测进行定量比较，显微图像的真实的样品。然后，它示出了如何输入的模拟层架构有助于提高故障模拟的准确性。
The majority of high-performance composite parts are nowadays designed using advanced numerical simulations that are able to accurately predict a part’s strength and deformation, providing that the internal ply architecture and exact fibre orientation are known with sufficient accuracy. However, most parts have some deviation of the fibre orientation from the ‘as-designed’ geometry, leading to the simulation overestimating the component’s strength. Up until recently, the advancement of the process simulation tools has not been sufficient to allow knowledge of this fibre deviation before any part has been manufactured, thus leading to overly conservative designs and costly experimental optimisation of the manufacturing process to reduce fibre path defects. This results in additional cost, waste of material and increased fuel consumption (due to the unnecessary weight of the components). This paper shows how state-of-the-art composite manufacturing simulations of the autoclave consolidation process can predict and help to mitigate against out-of-plane wrinkle formation in components made from toughened UD prepregs and thus raise confidence in failure analyses predictions. The industry relevant case of a stepped laminate is used as an example. Model predictions for the internal ply geometries are quantitatively compared to micrograph images of real samples. It is then shown how the input of the simulated ply architecture helps improving the accuracy of the failure simulations.
登录
查看更多内容
影响因子：
6.3
作者：
Kaerger, Luise;Galkin, Siegfried;Wolf, Klaus
通讯作者：
Wolf, Klaus
影响因子：
6.3
作者：
Kaerger, Luise;Bernath, Alexander;Henning, Frank
通讯作者：
Henning, Frank
DOI：
10.1115/1.4039555
发表时间：
2018-07-01
影响因子：
4
作者：
Belnoue, J. P. -H.;Nixon-Pearson, O. J.;Hallett, S. R.
通讯作者：
Hallett, S. R.
DOI：
10.1016/j.compositesa.2012.12.007
发表时间：
2013-05-01
影响因子：
8.7
作者：
Lemanski, S. L.;Wang, J.;Wisnom, M. R.
通讯作者：
Wisnom, M. R.
影响因子：
10.4
作者：
Dell'Anno, G.;Treiber, J. W. G.;Partridge, I. K.
通讯作者：
Partridge, I. K.