Research of the Quenched Crankshaft Fatigue Property Based on the Multi-physics Coupling Analysis and the Theory of Critical Distance

Abstract

Nowadays the electromagnetic induction quenching approach has been widely applied in the surface treatment process, especially for the parts made by metal materials such as the crankshafts. In this paper, quantitative study was adopted in researching the strengthening effect of this technique. First the multiphysics simulation was achieved to carry out the key information caused by this approach such as the temperature and residual stress distribution property. Then the directly defined critical distance model introduced by Taylor D was combined with the simulation results for the fatigue load prediction. Finally the prediction results were verified according by the standard bending fatigue experiments. The main conclusion of this paper is that the combined critical point method and the Goodmen mean stress model shows the best performance in the prediction. Moreover, the Gerbera mean stress model is the most suitable choice for the critical line method.

Research of the crankshaft high cycle bending fatigue experiment design method based on the modified unscented Kalman filtering algorithm and the SAFL approach

“…Among these three stages, most of the experiment time is spent on the loading stage. In addition, the load rate within the loading stage mainly holds constant, which means that the time of the loading stage is directly determined by the load cycles [25]. As a result of this, the key technique in quicken the experiment process is to make sure when the crankshaft is able to be considered broken during the loading stage as early as possible.…”