| Issue |
E3S Web Conf.
Volume 645, 2025
The 1st International Conference on Green Engineering for Sustainable Future (ICoGESF 2025)
|
|
|---|---|---|
| Article Number | 02007 | |
| Number of page(s) | 12 | |
| Section | Smart and Sustainable Infrastructure | |
| DOI | https://doi.org/10.1051/e3sconf/202564502007 | |
| Published online | 28 August 2025 | |
Strength Analysis of a New Upper Arm Design for Semi-Active Suspension System During Cornering
1 Department of Mechanical Engineering, Sepuluh Nopember Institute of Technology, 60111 Surabaya, Indonesia
2 Department of Mechanical Engineering, King Fahd University of Petroleum and Minerals, 31261 Dhahran, Saudi Arabia
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
This study investigates the structural performance and design optimisation of a novel upper arm component in a semi-active suspension system, particularly under cornering conditions. A three-dimensional model was developed using SolidWorks, and structural analysis was conducted through the finite element method (FEM) utilizing ANSYS Workbench. The component material, AISI 4140 (EN-19) alloy steel, was selected due to its high yield strength and fatigue resistance. Simulation scenarios were based on real-world loading conditions of the Toyota FT86. The results indicate that the optimised upper arm design reduces component mass by approximately 14.3%, while maintaining structural integrity with Von Mises stress and deformation values well within allowable limits. The findings highlight the potential of FEM-based optimisation in enhancing vehicle dynamics through weight reduction and improved suspension response.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.