Analysis of double wishbone suspension system components

Mohd Zakaria, Mohammad Nasir (2006) Analysis of double wishbone suspension system components. Masters thesis, Conventry University.

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The durability of automotive components is a critical aspect in the product development. Failure in component will lead to a serious damage not only the design of the component itself, but the entire system of vehicle. In this thesis, a stress study of a critical component was performed based on load prediction from multi-body simulation system for double wishbone suspension system under braking and cornering load cases.First, major coordinate points of front wheel drive Aston Martin Vanquish suspension were measured via computer measuring machine. It was then followed by modelling the suspension system linkages into multi-body system analysis via MSC.ADAMS. Quasi-Static analysis was performed using load profile database to determine the load acting on each component for typical load cases. Later, these calculated loads were applied to the FEA stress analysis (MSC.PATRAN/NASTRAN)for a critical component selected in order to predict the maximum stress, stress concentration and displacement.From the results of component load and stress study, 1 G braking load cases produces higher forces compare to cornering load case. Although the high-tension force occurred at the lower control arm, this structure generated a low maximum stress with factor of safety 7. Meanwhile, the tie-rod working in compression load produced the highest stress during braking condition which then buckling analysis is performed. However, both components did not exceed the yield stress of the material.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Motor vehicles -- Design and construction
Subjects: T Technology > T Technology (General)
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions: Library > Tesis > FKM
Depositing User: Mohd. Nazir Taib
Date Deposited: 10 Jun 2015 07:36
Last Modified: 16 Jun 2015 00:38
Statistic Details: View Download Statistic

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