Finite Element Analysis of Automobile Front Axle

Paudel, Abish and Mehta, Bikash and Kweon, Soondo and Wang, Fengxia and Shavezipur, Kamran (2025) Finite Element Analysis of Automobile Front Axle. International Journal of Innovative Science and Research Technology, 10 (5): 25may769. pp. 2215-2246. ISSN 2456-2165

Abstract

The front axle is a critical structural component in vehicles, playing a pivotal role in supporting weight, facilitating steering, and absorbing shocks from uneven surfaces. Constructed from high-strength materials like steel or alloyed metals, its design varies based on vehicle type and performance requirements. This study specifically focuses on the front dead axle used in rear-wheel-drive vehicles, which serves as a structural support and steering mechanism without transmitting driving torque. Emphasis is placed on understanding the mechanical behavior of the front dead axle under extreme loading conditions, particularly during a frontal crash scenario with a load equivalent to 5G. The axle’s structural components— such as the main beam and kingpins—are analyzed for their role in ensuring safety and stability. In this paper, structural analysis of the front axle is conducted using ABAQUS with a crash load of 5G to the front-end of the front axle. An optimized front axle is designed and further FE (Finite Element) analysis is performed. Static FE analysis is performed on a CAD (Computer Aided Design) model and the performance in both elastic & elastoplastic cases are checked. The results indicate that an optimized design reduces the maximum stress experienced by the axle, thereby increasing the factor of safety. With a factor of safety equal to or greater than 1 under a reduced crash load of 5G, the study confirms the axle’s ability to withstand severe loading scenarios. Validation of the Abaqus result is done with a MATLAB FE code, which is developed in this study and the Abaqus results are in agreement with the MATLAB FE code result. This research underscores the value of FEA in guiding design optimization, enabling safer and more efficient vehicle components through simulation-driven engineering.

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