Numerical Prediction of Fatigue Life of Crankshaft

R.Keshor Kumar, Thiagarajar College of engineering; T. Dharun Velmani ,Thiagarajar College of engineering
Numerical Model, Dynamic Analysis, Torsion Test Analysis, Bending Test Analysis, Fatigue life
In Automobile manufacturing plant, it was noticed that 7 out of 1000 crankshafts are prone to failure. This work is concentrated to identify the cause of failure in the crankshaft and to improve the fatigue life of the crankshaft by performing parametric study. In parametric study, the crankshaft is designed and analyzed in ANSYS WORKBENCH by varying the fillet radius of journal bearing. The maximum equivalent alternating stress and cycles to failure were predicted in numerical analysis. The cycles to failure are increased by varying the parameter and hence the fatigue life of crankshaft is improved.	
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Other Details
Paper ID: GRDCF002020
Published in: Conference : International Conference on Innovations in Engineering and Technology (ICIET - 2016)
Page(s): 73 - 81
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