Table of Contents
International Scholarly Research Notices
Volume 2014, Article ID 607272, 11 pages
Research Article

Fatigue Life Assessment of 65Si7 Leaf Springs: A Comparative Study

1Department of Engineering, NIFTEM, HSIIDC, Kundli, Haryana 131028, India
2Department of Mechanical Engineering, National Institute of Technology, Kurukshetra, Haryana 136019, India
3Department of Mechanical Engineering, YMCA University of Science & Technology, Faridabad, Haryana 121006, India

Received 1 July 2014; Revised 28 August 2014; Accepted 28 August 2014; Published 29 October 2014

Academic Editor: T. Y. Kam

Copyright © 2014 Vinkel Kumar Arora et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The experimental fatigue life prediction of leaf springs is a time consuming process. The engineers working in the field of leaf springs always face a challenge to formulate alternate methods of fatigue life assessment. The work presented in this paper provides alternate methods for fatigue life assessment of leaf springs. A 65Si7 light commercial vehicle leaf spring is chosen for this study. The experimental fatigue life and load rate are determined on a full scale leaf spring testing machine. Four alternate methods of fatigue life assessment have been depicted. Firstly by SAE spring design manual approach the fatigue test stroke is established and by the intersection of maximum and initial stress the fatigue life is predicted. The second method constitutes a graphical method based on modified Goodman’s criteria. In the third method codes are written in FORTRAN for fatigue life assessment based on analytical technique. The fourth method consists of computer aided engineering tools. The CAD model of the leaf spring has been prepared in solid works and analyzed using ANSYS. Using CAE tools, ideal type of contact and meshing elements have been proposed. The method which provides fatigue life closer to experimental value and consumes less time is suggested.