Ghajar, R., Peyman, S., Alizadeh K, J. (2011). A New Strain Based Model for Predicting Multiaxial Fatigue Life of Metals. Journal of Simulation and Analysis of Novel Technologies in Mechanical Engineering, 4(1), 17-25.
Rahmat-Allah Ghajar; Safa Peyman; Javad Alizadeh K. "A New Strain Based Model for Predicting Multiaxial Fatigue Life of Metals". Journal of Simulation and Analysis of Novel Technologies in Mechanical Engineering, 4, 1, 2011, 17-25.
Ghajar, R., Peyman, S., Alizadeh K, J. (2011). 'A New Strain Based Model for Predicting Multiaxial Fatigue Life of Metals', Journal of Simulation and Analysis of Novel Technologies in Mechanical Engineering, 4(1), pp. 17-25.
Ghajar, R., Peyman, S., Alizadeh K, J. A New Strain Based Model for Predicting Multiaxial Fatigue Life of Metals. Journal of Simulation and Analysis of Novel Technologies in Mechanical Engineering, 2011; 4(1): 17-25.
A New Strain Based Model for Predicting Multiaxial Fatigue Life of Metals
1Professor, Mechanical Engineering Department, K. N. Toosi University of Technology
2- Ph.D. Student, Mechanical Engineering Department, K. N. Toosi University of Technology
3Ph.D. Student, Mechanical Engineering Department, K. N. Toosi University of Technology
Abstract
Engineering structures are usually exposed to cyclic multiaxial loading and subsequently to multiaxial fatigue. Different models and criteria with various capabilities have been proposed for predicting of multiaxial fatigue life. Selection of proper model by considering material, type of loading and operation condition of each engineering structure is a challenging issue of the life prediction process. In this paper, capability of some critical strain-based models for predicting the fatigue life are evaluated and compared. Then, based on the advantages and disadvantages of the investigated models, a new model is presented. In this study, experimental fatigue data for SNCM630 samples under axial-torsional loading are used which is available in the literature. Results are compared to experimental data in order to validate the accuracy and capability of the new model in prediction of the fatigue life.
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