基于有限元分析的汽车悬架前控制下臂分析

Pradip Diwan Borase, Vivek Babele, Girish Kumar Khare
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摘要

前控制下臂(LCA)是汽车悬架系统中的关键部件,负责保持车辆的稳定性、操控性和整体舒适性。本研究利用先进的计算机辅助设计 (CAD) 建模和全面的有限元分析 (FEA) 深入研究 LCA 的结构完整性和性能。CAD 模型是在 Creo 中精心制作的,并导出到 ANSYS 中进行详细模拟。有限元分析结果揭示了控制臂在实际运行条件下的应力分布、变形模式和疲劳寿命。分析确定了顶部安装点附近的高应力集中区,并将这些区域标记为关键区域,有必要对其进行设计修改,以防止潜在故障的发生。具体来说,观察到的最大等效(von-Mises)应力为 208.89 兆帕,接近材料的屈服强度,表明在长期应力作用下结构失效的可能性很高。此外,最大总变形量为 0.4218 毫米,与高应力集中的临界区域相同。这种变形模式平滑且分布均匀,表明尽管存在应力漏洞,但设计结构仍然合理。疲劳寿命预测显示出相当大的差异,在高应力区域,最高预期寿命超过 630 万次,最低寿命约为 15 649 次。应力集中与疲劳寿命缩短之间的相关性突出表明了有针对性地改进设计的必要性。通过改进这些关键区域,可以显著提高 LCA 的整体耐用性和性能。这项研究提供了评估 LCA 结构性能的详细方法,为潜在的设计改进提供了宝贵的见解。研究结果对于旨在优化悬挂部件以提高可靠性和使用寿命的汽车工程师和设计师至关重要。在这种情况下使用 CAD 建模和有限元分析说明了这些工具在现代工程中的重要性,它们可以进行精确模拟和准确预测,从而指导设计过程。今后的工作重点是实施建议的设计修改,并通过实验测试和进一步模拟验证其有效性。关键词--下控制臂、汽车悬架、CAD
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FEA-Based Analysis of Front Control Lower Arm in Automotive Suspension
The front control lower arm (LCA) is a pivotal component in an automotive suspension system, responsible for maintaining vehicle stability, handling, and overall comfort. This study delves into the structural integrity and performance of the LCA using advanced Computer-Aided Design (CAD) modeling and comprehensive Finite Element Analysis (FEA). The CAD model was meticulously developed in Creo and exported to ANSYS for detailed simulation. The FEA results revealed significant insights into the stress distribution, deformation patterns, and fatigue life of the control arm under realistic operational conditions. The analysis identified high-stress concentrations near the top mounting point, marking these regions as critical areas that necessitate design modifications to prevent potential failures. Specifically, the maximum equivalent (von-Mises) stress observed was 208.89 MPa, which is near the material's yield strength, indicating a high likelihood of structural failure under prolonged stress. Additionally, the maximum total deformation was found to be 0.4218 mm, occurring at the same critical regions as the high-stress concentrations. This deformation pattern was smooth and well- distributed, suggesting a structurally sound design despite the stress vulnerabilities. Fatigue life predictions showed considerable variability, with the highest life expectancy exceeding 6.3 million cycles and the lowest life around 15,649 cycles in the high-stress areas. This correlation between stress concentration and reduced fatigue life underscores the necessity for targeted design improvements. By enhancing these critical areas, the overall durability and performance of the LCA can be significantly improved. This research provides a detailed methodology for evaluating the LCA's structural performance, offering valuable insights into potential design enhancements. The study’s findings are crucial for automotive engineers and designers aiming to optimize suspension components for better reliability and longevity. The use of CAD modeling and FEA in this context demonstrates the importance of these tools in modern engineering, enabling precise simulations and accurate predictions that guide the design process. Future work will focus on implementing the suggested design modifications and validating their effectiveness through experimental testing and further simulation. Keywords—Lower control arm, automotive suspension, CAD
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