Transient dynamic impact suppression of a Baja chassis using frontal and rear shock absorbers

Abstract

This paper investigates the behaviour of impact loading on a Baja vehicle chassis with frontal and rear shock absorbers, using transient dynamic analysis under different assumptions of contact conditions. Using a Baja car, a transient dynamic impact is performed in ANSYS Workbench 14.0, where the maximum deformation, stress and strains are calculated over duration of the particular impact. The mathematical model of the chassis is derived based on Kelvin model in order to design the best parameters of stiffness and damping coefficient in shock absorbers to minimise the deformation of the frame with the same impact. To study the effects of shock absorber under loading on a vehicle chassis, multiple finite element simulations are performed with different methodologies. Each methodology uses a different assumption on loading and boundary conditions, which leads to different results.

Publication DOI: https://doi.org/10.1080/13588265.2017.1301081
Divisions: College of Health & Life Sciences
College of Health & Life Sciences > School of Biosciences > Cell & Tissue Biomedical Research
Additional Information: © 2017 Informa UK Limited, publishing as Taylor & Francis. This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Crashworthiness] on 14th May 2017, available online: http://www.tandfonline.com/10.1080/13588265.2017.1301081.
Uncontrolled Keywords: Baja car,crashworthiness,Finite element analysis,frontal and rear impact,impact analysis,Transportation,Mechanical Engineering,Industrial and Manufacturing Engineering
Publication ISSN: 1754-2111
Last Modified: 30 Oct 2024 08:24
Date Deposited: 27 Oct 2017 13:20
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://www.tan ... 65.2017.1301081 (Publisher URL)
PURE Output Type: Article
Published Date: 2017-11-01
Published Online Date: 2017-05-14
Accepted Date: 2017-02-27
Authors: Goher, K. M.
Chenhui, Kong
Fadlallah, S. O.
Shabibi, A. M.Al
Rawahi, N. Z.Al

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