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Prediction and Validation of Anisotropic Elastic Property of Injection Molded PA66/Carbon Fiber Composites Parts for Automotive Applications

机译:注塑成型PA66 /碳纤维复合材料各向异性弹性性能的预测与验证汽车应用

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Automotive parts made with injection molding of carbon fiber reinforced polymers (CFRP) have shown significant advantages in lightweight vehicle development. Featured with balance between performance and cost, injection molded CFRP components are suitable for various automotive components. However, most concurrent computer aided engineering (CAE) analysis of such components still adopts homogeneous and isotropic cards for composites materials. Often is the case that high safety factor have to be used during design practice for composites parts due to incapability of accounting for anisotropic material behavior, which limits the application of the CFRP materials. While numerous studies have demonstrated the prediction of anisotropic material properties for fiber reinforced polymers through fiber orientation prediction and micromechanics calculation, validation is rarely done on an actual automobile part with complex geometry, which constrains the confidence of design engineers to perform analysis with anisotropic material properties for CFRP parts. In order to bridge such gap, in the present study, a vehicle part is manufactured using PA66/carbon fiber composites through injection molding process. Tensile tests are performed on samples cut from different locations of the part. Injection molding simulation based on actual processing parameters is performed to provide the fiber orientation predictions. The anisotropic elastic properties throughout the parts are obtained through the combined usage of micromechanics and orientation tensor averaging procedures to provide the anisotropic elastic properties in the parts, which are varying from element to element. A mapping process is also developed to transfer properties between the different meshes used in processing simulation and structural finite element analysis (FEA). To compare with the experimental results and validate the prediction of anisotropic elastic properties, the part model in FEA is virtually cut at the same locations as the real experiment samples to provide tensile bar FEA models, which enables FEA simulated tensile tests. Good match is observed between the experiments and FEA simulations at coupon level tests, indicating the accuracy of predicted anisotropic elastic properties from prediction.
机译:采用碳纤维增强聚合物(CFRP)的注射成型制造的汽车部件在轻质车辆发育中表现出显着的优势。在性能和成本之间提供平衡,注塑模型CFRP组件适用于各种汽车组件。然而,大多数并发计算机辅助工程(CAE)分析这些组件仍然采用复合材料材料的均匀和各向同性卡。通常情况是,在复合材料部件的设计实践中必须使用高安全系数,这是由于对各向异性物质行为的无法算起,这限制了CFRP材料的应用。虽然众多研究已经证明了通过纤维取向预测和微机械计算对纤维增强聚合物的各向异性材料性能预测,但是验证很少在具有复杂几何体的实际汽车部件上进行验证,这限制了设计工程师对各向异性材料性能进行分析的置信度对于CFRP零件。为了弥合这种差距,在本研究中,通过注射成型方法使用PA66 /碳纤维复合材料制造车辆部分。在从部件的不同位置切割的样品上进行拉伸试验。基于实际处理参数的注射成型仿真进行以提供纤维取向预测。整个零件的各向异性弹性特性通过组合使用微机械和取向张量平均程序来获得,以提供各自的各向异性弹性特性,其从元件变化到元件。还开发了映射过程以在处理仿真和结构有限元分析(FEA)中使用的不同网格之间的传输性质。为了与实验结果进行比较并验证各向异性弹性特性的预测,FEA的部件模型几乎在与真实实验样品相同的位置,以提供拉伸棒FEA模型,这使得FEA模拟的拉伸试验能够实现。在优惠券水平测试的实验和FEA模拟之间观察到良好的匹配,表明预测预测的预测各向异性弹性特性的准确性。

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