Optimizing Front Axle Design for Heavy Commercial Vehicles: A Comprehensive Analysis of Structural and Mechanical Properties

Author:

Sivaraman P.1,Ilakiya P.2,Prabhu M.K.1,Ajayan Adarsh1,Nithyanandan T.1

Affiliation:

1. Sri Krishna College of Technology, Mechanical Engineering

2. Sri Krishna College of Technology, Computer Science Engineer

Abstract

<div class="section abstract"><div class="htmlview paragraph">This study intends to improve the design of front axles for heavy commercial vehicles, with a major goal of reducing weight while maintaining mechanical strength. The front axle is critical in supporting the weight of the vehicle and facilitating steering while effectively absorbing shocks generated by differences in road surfaces. To achieve these requirements, a front axle beam that minimizes weight, fuel consumption, and stress on the load-carrying member must be designed. In this work, finite element analysis (FEA) techniques are used using CATIA software to assess the structural and mechanical attributes of several front axle designs. The purpose is to pick the best front axle shape depending on specific load situations and driving torque needs. The influence of alternative component shapes on stress and strain distribution is evaluated using surface changes and ANSYS Workbench numerical simulation software. Furthermore, the impact of these structural changes on the mechanical characteristics of the front axle is carefully investigated. The findings of this study will help to shape front axle designs that strike a compromise between weight reduction and mechanical strength, therefore improving the performance and efficiency of big commercial vehicles. This study gives useful insights into optimizing front axle designs by employing modern engineering analytical techniques, which may lead to increased fuel efficiency and lower vehicle maintenance costs.</div></div>

Publisher

SAE International

Reference18 articles.

1. Zhang , M. , Ji , X. , and Li , L. Fatigue Life of Front Axle Beam for Heavy-Duty Truck Advances in Engineering Software 91 2016 63 68

2. Li , Z. , Mitsuoka , M. , Inoue , E. , Okayasu , T. et al. Development of Stability Indicators for Dynamic Phase I Overturn of Conventional Farm Tractors with Front Axle Pivot Biosystems Engineering 134 2015 55 67

3. Dhande , K.V. and Ulhe , P. Design and Analysis of Front Axle of Heavy Commercial Vehicle International Journal of Science, Technology & Management 03 12 2014 248 253

4. Ahire , P.R. and Munde , K.H. Design and Analysis of Front Axle for Heavy Commercial Vehicle International Journal of Engineering and Computer Science 5 2016 17333 17337

5. Padma Raju , K. and Jithendra Kumar , B. Design and Analysis of a Heavy Vehicle Front Axle International Journal & Magazine of Engineering Technology & Management & Research 4 2017 263 268

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