The Thermo-Fluid Dynamics & Optimisation (TFDO) Laboratory at IIT Kharagpur focuses on the advanced modeling, simulation, and optimization of complex thermo-fluid systems. Under the leadership of Dr. Prashant Kumar, the lab integrates high-fidelity computational physics with experimental validation to address both fundamental scientific questions and critical engineering challenges in modern energy systems.

Core Computational & Theoretical Expertise Our research is anchored in Computational Fluid Dynamics (CFD) and High-Performance Computing (HPC). We specialize in developing and implementing robust numerical frameworks, including Immersed Boundary Methods and Fluid-Structure Interaction (FSI) models. These tools allow us to investigate intricate phenomena such as vortex dynamics, turbulence modeling, and nonlinear dynamics in fluid systems. Furthermore, we are increasingly integrating AI and Machine Learning into our fluid dynamics workflows to enhance predictive accuracy and computational efficiency.

Optimization & Thermal Management A significant pillar of our work is the application of Topology Optimisation and advanced design strategies to thermal systems. We focus on the design of energy-efficient refrigeration, cooling, and thermal management technologies. By optimizing the geometry and configuration of these systems, we aim to maximize heat transfer performance while minimizing energy consumption.

Multiphysics & Bio-Fluid Applications Beyond traditional engineering, the TFDO Lab explores Bio-Fluids and multiphysics problems. This involves modeling biological flow systems to understand the complex interactions between fluid motion and physiological structures.

Experimental Validation While heavily driven by computation, our lab maintains a commitment to experimental thermo-fluids. This ensures that our physics-based models are rigorously validated against real-world data, providing a holistic approach to solving thermal and energy-related problems in the Department of Mechanical Engineering.