Varun Murugan

- Leading the development of a modular computational framework for automated design, simulation, and manufacturing of optimized composite components using 3D printing and large-scale robotics. -Designed and implemented algorithms for optimized geometry and toolpath generation to maximize performance and reduce manufacturing time | Concepts: B-splines, optimization, FEA, numerical methods, collision-free 3D printing. - Tools: Mathematica, C++, Python, Visual Studio, QT, Ansys

- Led an EU research project under Marie-Curie Fellowship to develop an end-to-end algorithmic framework for design and fabrication of optimized 3D-printed components. - Built custom toolpath planners using B-splines and FEM simulation tools to enable automated processing from design to fabrication. - Implemented and benchmarked various optimization algorithms to enhance mechanical strength and production efficiency. - Tools: Mathematica, MATLAB, CAD/CAM software, Slicers.

Developed and implemented new computational techniques to simulate large deformation structures using Mathematica

Development of Software for choosing structural members of a building in Matlab - Prototype of software that suggests the optimal profiles for structural members of a building. - Artificial Neural Network (ANN) to choose appropriate cross-sections based on FEA. - The objective is to minimize the cost, CO2 production, and weight.

Use of Commerical software to perform Finite Element Simulations. Use of PolyJet and FDM printers to produce prototypes Projects: – Design validation of lattice-type wind masts using Ansys Multiphysics – Static and fatigue analysis of splined Shaft using Hypermesh and Ansys Workbench – Fabrication of the jigs that facilitate the drilling in the vertebral bodies of a patient in Polyjet 3D printers