Authors: Manan Desai; S.A. Channiwala; H.J. Nagarsheth
Addresses: Mechanical Engineering Department, G.H. Patel College of Engineering and Technology (GCET), Vallabh Vidyanagar, Gujarat, India ' Mechanical Engineering Department, Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, Gujarat, India ' Mechanical Engineering Department, Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, Gujarat, India
Abstract: The dynamics of a vehicle and its mechanistic understanding has always been a critical area of research for dynamicists and manufacturers in the automotive industry. Designing a vehicle system from the riding comfort and stability perspectives, necessitates development of 'self-formulating' (Wahage, 1987) computer models capable of numerically simulating a broad range of vehicular configurations and real life driving situations for response predictions. The paper delineates development of one such simulative model of a quarter of the vehicle and its subsequent implementation in MATLAB/Simulink for dynamical response predictions. The parametric studies subsequent to analytical and experimental qualifications revealed the model to be sensitive to vehicle configurations and suspension features, over and above driving speed and road terrain roughness. The model was employed further for subjective evaluation of riding comfort as codified by ISO2631 international standards under a variety of driving situations. The proposed model, with appropriate treatment could be employed to diagnose, analyse and optimise the critical dynamical attributes right at the design stage, eliminating the need of expensive prototype building and time consuming testing procedures.
Keywords: vehicle dynamics; dynamic modelling; numerical simulation; ride comfort; simulation; vehicle design; vehicle stability; dynamic response; vehicle configuration; vehicle suspension; driving speed; road roughness.
International Journal of Engineering Systems Modelling and Simulation, 2015 Vol.7 No.3, pp.213 - 222
Received: 21 Dec 2013
Accepted: 13 May 2014
Published online: 21 Mar 2015 *