Paper Title

Weight and Shape Reduction of Vehicle Chassis Joints Using FEM.

Authors

Mr. Maheshkumar V. Mangnale , Dr Rachayya R Arakerimath

Keywords

Truck chassis joints, Chassis Reinforcement, fem, Chassis frame.

Abstract

Chassis is a major component in a vehicle system. This work involved stress analysis, to determine key characteristics of a truck chassis. The static characteristics include identifying location of high stress area and determining the torsion stiffness of the chassis. The dynamic characteristics of truck chassis such as the natural frequency and mode shape were determined by using finite element method. Experimental modal analysis was carried out to validate the FE models. Modal updating of truck chassis model was done by adjusting the selective properties such as mass density and Poisson’s ratio. Predicted natural frequency and mode shape were validated against experimental results. Finally, the modifications of the updated FE truck chassis model was proposed to reduce the weight, improve the strength, and optimize the stability of the chassis. the overall modifications are carried out from stress analysis were successfully achieved with the natural Frequency had shifted by 13 % higher than the original value, increased the torsion stiffness by 25 % and reduced the total deflection.

How To Cite

"Weight and Shape Reduction of Vehicle Chassis Joints Using FEM. ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.6, Issue 8, page no.94 - 97, August-2021, Available :https://ijsdr.org/papers/IJSDR2108016.pdf

Issue

Volume 6 Issue 8, August-2021

Pages : 94 - 97

Other Publication Details

Paper Reg. ID: IJSDR_193587

Published Paper Id: IJSDR2108016

Downloads: 000347226

Research Area: Engineering

Country: Nanded, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2108016

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2108016

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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