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PyRth is an open-source Python package designed for evaluating thermal transient measurement data, such as those obtained from devices like the T3ster. It processes thermal transient data using specialized algorithms to extract detailed thermal characteristics, including the thermal structure function.
Multi-fidelity hydrogen thermal digital twin combining Python, MATLAB, CoolProp and ANSYS Fluent for transient compression and high-pressure tank filling.
Industrial CFD and thermal engineering portfolio featuring a vortex-controlled diffuser study for a jet-engine burner, CFD verification, turbulence modelling, parametric analysis, and Python-based engineering automation.
Research paper on thermal engineering covering thermodynamic cycles, heat transfer, energy efficiency, Brayton and Carnot cycles, cooling analysis, and sustainable thermal-system design.
Deep-learning segmentation and predictive modelling of vapor bubbles in nucleate flow boiling. IIT Bombay research, published in Applied Thermal Engineering and AI Thermal Fluids (2026).
Python (NumPy/Numba) port and validation of an artificial compressibility + FTCS solver for natural convection in tall vertical cavities (air, Pr = 0.71). Validated against Lartigue et al. at AR = 40; basis for Nusselt-number correlations Nu(Ra, AR).
Cooling-tower engineering, every step shown — a Rust thermal/air-side engine (Merkel, fan/system, fill KaV/L) with a Bevy cockpit for web and desktop. Synthetic demo catalog; not CTI certified.