Rajat Sharma

Topic: "Optimization of Crash Simulations using Machine Learning Algorithm" • Simulating Side pole Crash as per FMVSS214 • Creating a sub-model from the existing full crash model to be simulated on the local workstation within certified time. •Optimizing the parameters important in a side pole crash using a Machine learning algorithm like Reinforcement learning.

• Worked in the field of Passive Safety considering Euro NCAP standards. • Used ANSA for the pre-processing to set up the simulation model for different load cases with suitable mesh quality as per standard Porsche element quality criteria. • Simulated different Component Load cases linked to the whole vehicle using LS-Dyna as the solver. • Used ANIMATOR as the FEM post-processor to check the results of the simulations. • Generated the Scripts for automizing the evaluation of Crash Simulation

"FEM based modeling of Truss and Plate structures as a reference solution for Neural Network studies"

I have worked as a student assistant at the Institute of General Mechanics. The topic was related to Artificial Neural Network in Structural Mechanics. My task included developing the training data from Abaqus for using it to develop a neural network that will be used further to reduce the computation time of the simulation.

Job profile comprises of following competencies: new product development, solid modeling of components related to drive lines and transmissions using Solid Edge and UG-NX, tool designing of forging dies, and then simulating the model on Deform 3D to check die stress and metal flow.