Preetham Suresh

• Developed a fully automated Python-based optimization framework integrating Genetic Algorithms, SpaceClaim, PyFluent, Fluent Meshing, OpenFOAM, and ParaView. • Performed CFD simulations and parametric studies to minimize pressure drop while preserving swirl-based spark separation. • Executed mesh independence studies, validation, and 7-parameter geometry optimization, achieving up to 33% lower pressure drop compared to the prototype design.

• Implemented zonal Large-Eddy-Simulation (LES) with RANS to accurately model regions with complex geometries where RANS models struggles to capture flow behavior. • Investigated appropriate inlet conditions for LES zones to ensure accurate simulation of turbulent flows. • Simulated turbulent boundary layers on rough surfaces to enhance flow prediction accuracy using ANSYS Fluent.

• Performed numerical simulations to analyze UAV propeller noise radiation by integrating pressure acoustics with fluid flow models using COMSOL Multiphysics. • Conducted a parameter study to develop noise mitigation strategies aimed at reducing propeller noise levels.

• Designed a novel rotor model using ANSYS DesignModeler to enhance mixing efficiency in battery suspension processes. • Performed numerical simulations of a 3D batch mixing process using ANSYS Fluent to analyze flow dynamics.