LAPSE:2023.4506
Published Article
LAPSE:2023.4506
Numerical Modelling and Multi Objective Optimization Analysis of Heavy Vehicle Chassis
February 23, 2023
Abstract
The primary supporting structure of an automobile and its other vital systems is the chassis. The chassis structure is required to bear high shock, stresses, and vibration, and therefore it should possess adequate strength. The objective of current research is to analyze a heavy motor vehicle chassis using numerical and experimental methods. The CAD design and FE analysis is conducted using the ANSYS software. The design of the chassis is then optimized using Taguchi design of Experiments (DOE); the optimization techniques used are the central composite design (CCD) scheme and optimal space filling (OSF) design. Thereafter, sensitivity plots and response surface plots are generated. These plots allow us to determine the critical range of optimized chassis geometry values. The optimization results obtained from the CCD design scheme show that cross member 1 has a higher effect on the equivalent stresses as compared to cross members 2 and 3. The chassis mass reduction obtained from the CCD scheme is approximately 5.3%. The optimization results obtained from the OSF scheme shows that cross member 2 has a higher effect on equivalent stress as compared to cross members 1 and 3. The chassis mass reduction obtained from optimal space filling design scheme is approximately 4.35%.
Keywords
CCD, DOE, heavy vehicle chassis, optimizations, stress
Suggested Citation
Agarwal A, Mthembu L. Numerical Modelling and Multi Objective Optimization Analysis of Heavy Vehicle Chassis. (2023). LAPSE:2023.4506
Author Affiliations
Agarwal A: Department of Mechanical Engineering, University of South Africa, Science Campus, Private Bag X6, Florida 1710, South Africa [ORCID]
Mthembu L: Department of Mechanical Engineering, University of South Africa, Science Campus, Private Bag X6, Florida 1710, South Africa [ORCID]
Journal Name
Processes
Volume
9
Issue
11
First Page
2028
Year
2021
Publication Date
2021-11-13
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr9112028, Publication Type: Journal Article
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LAPSE:2023.4506
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https://doi.org/10.3390/pr9112028
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Feb 23, 2023
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CC BY 4.0
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Feb 23, 2023
 
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