Nikhil Katare

Using a neural network model to calibrate a reduced order FEM model for hybrid pin joint. Aim:- To reduce Computational time by developing reduced order FEM model from a High fidelity 3D model. To use Neural network model for parameter evaluation of reduced model.

(Client: Diamler AG) Concept development, strength analysis and model building for the Chassis of a fully electric vehicle to meet the Euro-Ncap standards for the side and roof crash test Development of Python scripts in ansa for routine checks and daily tasks Validation of the prototype experiment results of the quasi-static roof crush test by FEM simulations. Software: ANSA, LS-DYNA, Animator, Python script

Responsible for MATLAB exercises for the course "Numerical Methods in Mechanical Engineering". Support in the preparation of lectures and projects in numerical methods. Software: Matlab

Design and development of cooling modules for MAN trucks Redesign of the cooling module taking into account the design for production and assembly to reduce production costs Concept development for the acquisition of the PACCAR medium duty truck project. Tolerance stack-up for cooling modules Software : CATIA V5