STRUCTURAL AND SHAPE OPTIMIZATION OF A COMMERCIAL VEHICLE FRONT AXLE FOR ENHANCED PERFORMANCE

  • Unique Paper ID: 201950
  • Volume: 12
  • Issue: 12
  • PageNo: 5366-5373
  • Abstract:
  • The front axle of a commercial vehicle is a critical load-bearing component that significantly influences vehicle stability, steering performance, and overall structural integrity. With increasing demand for lightweight and high-performance automotive components, there is a growing need to optimize axle design for improved efficiency and durability. This study focuses on the structural and shape optimization of a commercial vehicle front axle by evaluating different cross-sectional geometries under realistic loading conditions. A detailed 3D model is developed using computer-aided design (CAD) tools and analyzed through finite element analysis (FEA) to assess stress distribution, deformation, and structural behavior. Two geometrical configurations I-section and elliptical section are compared to understand the influence of shape on performance. The study also incorporates experimental validation through compression testing to support the numerical analysis. The research aims to identify an optimized axle design that achieves a better strength-to-weight ratio, improved load distribution, and enhanced durability while ensuring manufacturability. The findings contribute to the development of efficient and reliable front axle systems, aligning with modern automotive requirements for lightweight and sustainable design.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{201950,
        author = {Smita Prabhakarrao Dhawde and Dr Subhash Gadhave and Prof. Ashish S. Lanje},
        title = {STRUCTURAL AND SHAPE OPTIMIZATION OF A COMMERCIAL VEHICLE FRONT AXLE FOR ENHANCED PERFORMANCE},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {5366-5373},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=201950},
        abstract = {The front axle of a commercial vehicle is a critical load-bearing component that significantly influences vehicle stability, steering performance, and overall structural integrity. With increasing demand for lightweight and high-performance automotive components, there is a growing need to optimize axle design for improved efficiency and durability. This study focuses on the structural and shape optimization of a commercial vehicle front axle by evaluating different cross-sectional geometries under realistic loading conditions. A detailed 3D model is developed using computer-aided design (CAD) tools and analyzed through finite element analysis (FEA) to assess stress distribution, deformation, and structural behavior. Two geometrical configurations I-section and elliptical section are compared to understand the influence of shape on performance. The study also incorporates experimental validation through compression testing to support the numerical analysis. The research aims to identify an optimized axle design that achieves a better strength-to-weight ratio, improved load distribution, and enhanced durability while ensuring manufacturability. The findings contribute to the development of efficient and reliable front axle systems, aligning with modern automotive requirements for lightweight and sustainable design.},
        keywords = {Front axle; shape optimization; finite element analysis; I-section; elliptical section; commercial vehicle; lightweight design; Von Mises stress.},
        month = {May},
        }

Cite This Article

Dhawde, S. P., & Gadhave, D. S., & Lanje, P. A. S. (2026). STRUCTURAL AND SHAPE OPTIMIZATION OF A COMMERCIAL VEHICLE FRONT AXLE FOR ENHANCED PERFORMANCE. International Journal of Innovative Research in Technology (IJIRT), 12(12), 5366–5373.

Related Articles