Title: Mathematical modelling for fatigue life prediction of a symmetrical 65Si7 leaf spring

Authors: Vinkel Kumar Arora; Gian Bhushan; M.L. Aggarwal

Addresses: Department of Engineering, NIFTEM, HSIIDC, Kundli 131028, Haryana, India ' Department of Mechanical Engineering, National Institute of Technology, Kurukshetra 136019, Haryana, India ' Department of Mechanical Engineering, YMCA University of Science and Technology, Faridabad-121006, Haryana, India

Abstract: Leaf spring is a suspension component which is designed to sustain a required fatigue life before its failure or permanent set. The fatigue life of a leaf spring depends upon the various factors like geometry, design, material, processing, fatigue strength reduction and some uncontrollable factors. To determine the effect of variation of individual factor on the fatigue life is always a challenging task as the experimental procedure is time consuming and costly. Also no such attempt has been made to predict this effect. The work presented in this paper depicts the effect of variation of an individual factor on the fatigue life of a leaf spring. A computer program has been written in FORTRAN, for determination of the fatigue life of a light commercial vehicle, has been validated experimentally. Two processing factors, five strength reduction factors, one design factor, one material factor and two geometry factors have been considered for investigation in this work. The effect of variation of one factor at time on the fatigue life of the leaf spring has been determined and modelled using statistical tool NCSS. The regression model has been depicted and validated analytically and experimentally.

Keywords: fatigue life; design factor; geometry factor; strength reduction factor; material and processing factor.

DOI: 10.1504/IJCAET.2018.090535

International Journal of Computer Aided Engineering and Technology, 2018 Vol.10 No.3, pp.287 - 319

Received: 16 Feb 2016
Accepted: 16 Aug 2016

Published online: 09 Mar 2018 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article