Prabhu S

Hardworking technology enthusiast, passionate about implementing new ideas through a focused driven projects. Self motivated professional looking forward to seize viable opportunities in the given role. Good reputation in handling project teams and drive them towards deliverables.

Competencies

• Proficient in computational fluid dynamics (CFD) modeling and analysis techniques, specializing in RANS/LES/DNS methods.
• Skilled in modeling spray, combustion, and emissions for automotive engines and gas turbine combustors.
• Experience includes designing and analyzing heat transfer challenges, such as PCB thermal design, heatsinks, battery packs, and fuel cells

Tools

• Analysis : Ansys Fluent, FORTE, ICEPAK, OpenFOAM
• CAD: Solidworks, Autodesk
• MS Office: Excel, Powerpoint and Word

• Electronic board - Thermal management

      The primary objective of this project is to conduct a thorough thermal analysis of the PCB model. It includes identifying hotspots, understanding steady-state temperature distribution across the board, and determining the maximum temperatures reached by individual components. Thermal calculation for PCB and heatsinks are carried using empirical relations. Battery management system PCB / power management board is studied using CFD techniques and the proper cooling techniques are ensured over the MOSFET and copper traces region.

• Battery and Fuel Cell Modeling (Thermal Management)

      Effective thermal management is critical for maximizing the performance and lifespan of battery systems. Important concern is mitigating thermal runaway, a significant event that can compromise battery integrity. Devised a straightforward approach utilizing a lumped thermal resistance network and that allows for the assessment of diverse strategies, including liquid cooling, PCM (Phase Change Material), among others, to prevent thermal runaway effectively. An empirical and 3D CFD cell level and conjugate heat transfer modeling incorporates chemical considerations, enabling a comprehensive evaluation of cooling strategies and their impact on battery stability and performance.

• Numerical Modeling of Soot Formation in Diffusion Flames

      The focus of this work is on soot formation and growth pathways, the study of the gas-phase combustion process was used to validate the mechanism. The importance of larger PAH species on the soot growth pathways in counterflow flames is evident from these analysis. The sensitivity with respect to strain rates, dilution, and at higher pressures are analysed. Direct Numerical Simulation (DNS) of two-dimensional counterflow diffusion flames is conducted to understand the impact of vortex interactions on soot characteristics. The study is extended to Large Eddy Simulation (LES)of coflow laminar flame using different statistical moment methods MOMIC, HMOM and CQMOM.