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Steel crankshafts are subjected to an induction heat treatment process for improving the operational life. Metallurgical phase transformations during the heat treatment process have direct influence on the hardness and residual stress. To predict the structural performance of a crankshaft using Computer Aided Engineering (CAE) early in the design phase, it is very important to simulate the complete induction heat treatment process. The objective of this study is to establish the overall analysis procedure, starting from capturing the eddy current generation in the crank shaft due to rotating inductor coils to the prediction of resultant hardness and the induced residual stress. In the proposed methodology, a sequentially coupled electromagnetic and thermal model is developed to capture the resultant temperature distribution due to the rotation of the inductor coil.

The battery cell unit and battery module constitute the building blocks for the battery pack in an electric vehicle. It is important to rigorously understand the vibration induced response of the battery pack as it is a prerequisite for the safety of an electric vehicle. An accurate finite element (FE) model plays a key role in predicting the dynamic response of the battery pack simulation. In this paper, finite element analysis (FEA) results are compared with the experimental set up of the battery components and a 60-cell battery module. Using orthotropic elastic constants instead of isotropic properties to model the fiber reinforced polymer (FRP) made battery components produced better modal results correlation. Modal frequency values for the brick components have been improved by 25% to 50%. For the battery module, swapping of mode shape behavior is observed between finite element model and experimental results.