Namith Naik

► Developed a 3D unified model to investigate the complex heat transfer multiphase & multi-physics interactions in plasma deposition during plasma arc welding. ► Analyzed the electro-thermal conversion, electromagnetic effect, heat transfer, gas-liquid two-phase flow, and solid-liquid phase change in plasma arc welding. ► Investigated the impact of plasma currents and mass flow rates on melt pool dynamics. ► Implemented Python scripts for data collection and post-processing of simulation outputs, enabling more accurate performance optimization. ► Identified optimal flow rates of 2-3 L/min for faster melting and efficient heat delivery, while flow rates of 1 L/min and 5 L/min result in longer initial melting times due to inefficient heat transfer. ► Demonstrated that increasing current from 70 A to 100 A raises potential drop and current density near the electrode tip, improving thermal performance and deepening the melt pool. ► Shared simulation results in team meetings, discussed findings and incorporated feedback to refine models, ensuring 95% accuracy based on experimental data

► Helped students understand aerodynamics, turbine components, and key wind energy concepts. ► Assisted with clarifying concepts like the Betz limit, Navier-Stokes equations, and aeroelastic phenomena.

► Supported students in understanding core principles and practical applications of materials processing. ► Provided guidance on assignments and clarified complex topics to enhance student comprehension.

► Conducted CFD simulations of the continuous pre-treatment electro-deposition (PTED) system for the R2 vehicle using Star-CCM+, analyzing drainage & e-coat growth. ► Developed a semi-batch PTED simulation process to evaluate vehicle components and process parameters, identifying the optimal system configuration and resulting in cost savings. ► Performed thermal performance evaluations of oven systems to assess surface temperature and drying time of the e-coat. ► Reduced mesh cells by 15% and used dynamic meshing, improving accuracy & reducing simulation time. ► Worked with design teams to optimize vehicle components and contributed to DFMEA, identifying failure modes to enhance system reliability ► Collaborated with a multidisciplinary team and key stakeholders to communicate simulation results, recommend design improvements, and provide feedback to improve reliability. ► Led cost-saving in battery systems by researching alternative materials, creating BOMs and cost reports, and communicating findings with stakeholders and suppliers.

► Conducted a numerical investigation to enhance the heat transfer phenomena of the solar air collector (SAC) by providing triangular corrugations over the SAC. ► The flow parameters such as velocity, temperature, turbulent kinetic energy, turbulent intensity and performance parameters such as Nusselt number (Nu), Nu ratio, friction factor (f), f ratio and thermo-hydraulic performance parameter (THPP) were estimated. ► Set up experiments to validate cooling solutions for SAC configurations by varying pitch, height, and corrugation angles, improving heat transfer and efficiency. ► Collaborated with design and manufacturing teams to implement DFM principles, ensuring manufacturability and aligning with production goals ► Improved thermal efficiency by 48% through targeted design modifications and data-driven optimization. ► Optimized pitch was 135 mm at Re = 18000 and further increase or decrease in pitch created low Nu and THPP.

► Led the team and conducted an experimental and computational Investigation on Compact Photovoltaic (PV) Panel Cooling System Using Phase Change Material ► Designed and simulated PCM-integrated cooling chambers to improve system-level heat management. ► Integrated liquid cooling methods with air cooling methods, significantly improving thermal transfer. ► Developed engineering prototypes for testing, increasing electrical efficiency by 57%.

► Developed and tested a Multi-Feature Wing Flap to increase its Aerodynamic Efficiency. ► Performed CFD analysis of multi-feature wing prototype at various AOA and wind velocities. Compared various prototypes based on cl/cd values to determine the wing having the best overall efficiency. ► Improved design gave the highest efficiency of 15.9% at an angle of attack of 2° and an Alpha angle of 4°.

● Designed a CAD model and manufactured a prototype All-terrain vehicle. ● Co-Lead the suspension team and competed in BAJA SAE 2019, 2020, and Mega ATV Championship. ● Analyzed A-arm Wishbone and 3-link Semi Trailing arm Suspension using Lotus shark to verify assumed parameters.

Coursework- 1. ME7270 General Thermodynamics 2. ME6200 Math Methods for Mechanical Engineer 3. ME5657 Finite Element Method