Short Title: Int. J. Mech. Eng. Robot. Res.
Frequency: Bimonthly
Professor of School of Engineering, Design and Built Environment, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
2024-12-18
2024-10-25
Abstract—Fatigue analysis can be performed using one of the three basic methodologies such as stresslife theory, strain-life theory, and crack- growth approach. These techniques determine the number of cycles to failure. Stress-life theory is suitable when elastic stresses and strains are considered. However, for the components having nominal cyclic elastic stresses and plastic deformation, local strain-life theory is used for predicting the fatigue life. In the present work, fatigue behaviour of structural steel parabolic spring, subjected to fully reversible cyclic loading, is analyzed using different strain-life theories. The analysis is aimed to predict the fatigue life of parabolic spring and to study the effects of trapezoidal and inverted trapezoidal cross-sections and applied cyclic stress amplitude through finite element analysis. The modelling of parabolic spring is carried out in CATIA software whereas ANSYS workbench is used for the finite element analysis. Maximum Von Mises stress criterion is used for predicting the failure of parabolic spring. It is observed that Morrow’s strain-life theory is found to be conservative compared to Smith-Watson- Topper (SWT) strain-life theory under the fully reversible cyclic loading. However, if the loading sequence is predominantly tensile in nature, SWT theory gives conservative result. Index Terms—Parabolic spring, Fatigue life, Cyclic loading, FEM, Strain-life theories
Cite: Nagendra and S K Srivastava, "Fatigue Life Prediction of Parabolic Spring Based on Strain Life Theories," International Journal of Mechanical Engineering and Robotics Research, Vol. 3, No. 1, pp. 320-326, January 2014.