汽车电控单元纤维增强塑料结构仿真工具链敏感参数研究

Rongsi Wang, D. Papathanassiou, M. Werner, Jing Jin
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引用次数: 0

摘要

在汽车电子控制单元(ECU)中,纤维增强塑料的应用非常广泛。与这些材料的普遍使用相反,它们对印刷电路板(PCB)上的电子或互连组件的可靠性的影响在产品开发的早期阶段的设计决策中尚未得到充分考虑。纤维增强塑料零件具有较强的各向异性宏观材料性能。如果采用过于简化的材料性能,则无法通过模拟准确预测其在热载荷和机械载荷下的变形。然而,这种变形行为可以支配在PCB上的电子或互连元件中引起的应变和应力,从而影响其使用寿命的可靠性。通过综合模拟方法,可以评估微观纤维取向对塑性零件宏观性能的影响。本文研究了综合仿真的敏感参数及其对仿真质量和精度的影响。为此,从ECU盖上切割出测试样品,ECU盖由30% wt%短玻璃纤维(PBT-GF30)增强的聚对苯二甲酸丁二酯制成。随后,进行了与实验相当的单轴准静态拉伸试验以及结构有限元(FE)模拟,并包括从注塑模拟中获得的纤维取向信息的映射。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation of sensitive parameters in the structural simulation tool chain for fiber reinforced plastics in automotive electronic control units
In automotive electronic control units (ECU) the use of fiber reinforced plastics is widely spread. In contrast to the common utilization of these materials their influence on the reliability of electronic or interconnecting components on Printed Circuit Board (PCB) is not yet sufficiently accounted for in design decisions in early stages of the product development. Fiber reinforced plastic parts exhibit a strong anisotropic macroscopic material behavior. Their deformation under thermal and mechanical load cannot be correctly predicted by simulation if oversimplified material properties are applied. However, this deformation behavior can dominate the strain and stress induced in electronic or interconnecting components on PCB and hence their reliability over lifetime. By means of an integrative simulation approach the influence of the microscopic fiber orientation on the macroscopic behavior of plastic parts can be evaluated. In this paper a study of sensitive parameters of the integrative simulation and their influence on the simulation quality and accuracy is presented. For this purpose test specimen have been cut from an ECU cover which is made of reinforced polybutylene terephthalate with 30 wt% short glass fiber (PBT-GF30). Subsequently, uni-axial, quasi-static tensile tests as well as structural finite element (FE) simulations, comparable to the experiments and including the mapping of fiber orientation information from injection molding simulation were performed.
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