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Modeling of Long Fiber Reinforced Plastics

机译：长纤维增强塑料的建模

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Long fiber reinforced plastics (LFRP) have exhibited superior mechanical performance and outstanding design flexibility, bringing them with increasing popularity in the automotive structural design. Due to the injection molding process, the distribution of long fibers varies at different locations throughout the part, resulting in anisotropic and non-uniform mechanical properties of the final LFRP parts. Images from X-ray CT scan of the materials show that local volume fraction of the long fibers tends to be higher at core than at skin layer. Also fibers are bundled and tangled to form clusters. Most of the current micromechanical material models used for LFRP are extended from those for short fibers without adequate validation. The effect of the complexity of long fibers on the material properties is not appropriately considered. Thus, modeling of these materials is lagging behind the material manufacturing and design development, which in turn limits their further development. In this paper, a solution is found to take into the consideration of the complicated distribution of long fibers in LFRP parts based on Digimat software. The non-uniform distribution and bundling effect of the long fibers is considered by incorporating the fiber distribution information from X-ray CT scan images into Digimat-Abaqus coupled model. The effectiveness of the method is validated through physical testing data.
机译：长纤维增强塑料（LFRP）表现出卓越的机械性能和出色的设计灵活性，使其随着汽车结构设计的普及而越来越受欢迎。由于注射成型过程，长纤维的分布在整个部分的不同位置变化，导致最终LFRP部件的各向异性和非均匀的机械性能。来自X射线CT扫描的图像显示，长纤维的局部体积分数径向高于皮肤层。纤维也捆绑并纠结形成簇。用于LFRP的大多数当前的微机械材料模型从那些没有足够验证的短纤维延伸。不适当考虑长纤维对材料性能的复杂性的影响。因此，这些材料的建模在材料制造和设计开发后面滞后，这反过来又限制了它们的进一步发展。在本文中，发现一种解决方案参与基于Digimat软件的LFRP部件中长纤维的复杂分布。通过将来自X射线CT扫描图像从X射线CT扫描图像结合到DigiMat-ABAQUS耦合模型来考虑长纤维的不均匀分布和捆绑效果。通过物理测试数据验证该方法的有效性。

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