汽车长玻璃纤维增强热塑性塑料车轮的不确定性优化设计

Daijun Hu, Yingchun Shan, Xiandong Liu, Weihao Chai, Wang Xiaoyin
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引用次数: 2

摘要

汽车轻量化是降低汽车能耗和排放的有效措施。高性能复合材料的应用是实现汽车轻量化的重要技术途径。采用热塑性复合材料车轮的优点是:成型容易,制造效率高,成本低,易于回收。这导致了更广阔的应用前景。考虑复合材料的各向异性,采用有限元法对长玻璃纤维增强热塑性塑料(LGFT)车轮的力学性能进行了分析。这是通过将车轮置于弯曲疲劳载荷模拟下完成的。根据仿真结果,在Isight平台上采用正交实验法建立了样本数据库,并采用响应面法(RSM)建立了近似模型。在此模型的基础上,运用Sigma原理对车轮设计进行不确定性优化分析,优化目标为质量最小化。车轮的最大变形量和轮辐两侧的应力作为约束条件,车轮模型的关键尺寸参数作为设计变量。不确定性优化是基于Sigma准则,考虑车轮的几何形状和性能波动的材料。将优化结果与仿真结果进行对比分析,验证了设计方案的可行性。结果表明,与确定性优化相比,基于西格玛准则的不确定性优化虽然车轮重量略有增加,但鲁棒性明显增强,3个约束的可靠性均在6西格玛以上。最终优化的LGFT车轮重量为5.28kg,比最初的目标重量减轻5.5%,比铝合金车轮轻25.6%。通过这种轻量化效果,现在实现了期望的设计结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Uncertainty Optimization Design of Vehicle Wheel Made of Long Glass Fiber Reinforced Thermoplastic
The use of automobile lightweight is an effective measure to reduce energy consumption and vehicle emissions. The utilization of high-performance composite materials is an important way to achieve lightweight vehicles technically. The advantages of using thermoplastic composite wheels are: easy to form, high manufacturing efficiency, low cost and easy to recycle. This leads to broader application prospects. Taking composite anisotropy into consideration, the mechanical performance of a wheel made of long glass fiber reinforced thermoplastic (LGFT), is analysed using the finite element method (FEM). This is done by placing the wheel under a bending fatigue load simulation. According to the simulation results, the sample database is established by orthogonal experimental method on the Isight platform, and the approximate model is established by the Response Surface Methodology (RSM). Based on this model, uncertainty optimization analysis is then conducted on the wheel’s design using Sigma Principle whereby the optimization target is the mass minimization. The maximum deformation of the wheel and the stress on both sides of the spoke will serve as constraint conditions and the key dimension parameters of the wheel model will be taken as the design variables. The uncertainty optimization is based on the Sigma criterion, taking into consideration the wheel’s geometry and property-fluctuation materials. The feasibility of design schemes is then verified after comparison analysis between the optimization results and the simulation results obtained. The result shows that compared with deterministic optimization, though the weight of the wheel has slightly increased, the uncertainty optimization based on the Sigma criterion is much more robust and the reliabilities of the three constraints are all above 6 Sigma. The resulting optimized LGFT wheel weighs 5.28kg, which has a 5.5% more loss in weight than the initial target and is also 25.6% lighter than the counterpart wheel which is made of aluminum alloy. The desired design results is now achieved with this lightweight effect.
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