Executive Development Programme in Computational Fluid Dynamics: Hands-On Projects

This course is tailored for professionals in engineering, aerospace, automotive, and related fields looking to enhance their expertise in Computational Fluid Dynamics (CFD). Participants will gain hands-on experience in simulating fluid flow, heat transfer, and related phenomena, using state-of-the-art software tools.

Through practical projects, learners will develop skills in modeling complex systems, optimizing designs, and interpreting CFD results. The curriculum includes advanced topics such as turbulence modeling, multiphase flow, and high-performance computing, preparing participants for real-world challenges in their industries.

1. 1. Introduction to Computational Fluid Dynamics (CFD): Learners will explore basic principles of fluid dynamics and gain an understanding of CFD fundamentals, including the Navier-Stokes equations and conservation laws.
2. 2. Numerical Methods for CFD: This module will introduce learners to key numerical techniques used in CFD simulations, such as finite difference, finite volume, and finite element methods, enhancing their ability to solve complex flow problems.
3. 3. CFD Software Tools: Students will learn to use industry-standard CFD software like ANSYS Fluent, OpenFOAM, and COMSOL Multiphysics, focusing on setting up, running, and validating simulations.
4. 4. Turbulence Modeling: This module covers various turbulence models and their applications, enabling learners to accurately simulate turbulent flows and gain insight into the behavior of fluids under complex conditions.
5. 5. Heat Transfer in CFD: Learners will study the coupling of fluid flow with heat transfer, essential for applications in HVAC, combustion, and thermal management systems.
6. 6. Multiphase Flows: This module delves into the simulation of multiphase systems, including liquid-liquid, gas-liquid, and solid-liquid interactions, with applications in chemical engineering, environmental science, and energy systems.
7. 7. CFD in Aerospace Engineering: Students will apply CFD techniques to aerospace engineering challenges, such as aerodynamics, propulsion, and aircraft design, enhancing their ability to solve real-world problems.
8. 8. CFD for Biomedical Applications: This module explores the use of CFD in biomedical research, focusing on blood flow analysis, cardiovascular systems, and respiratory dynamics.
9. 9. CFD Optimization Techniques: Learners will be introduced to optimization methods in CFD, including gradient-based and metaheuristic approaches, to improve the efficiency and performance of fluid systems.
10. 10. Post-Processing and Visualization: This final module teaches learners how to interpret and visualize CFD results effectively, using tools like ParaView and Tecplot, to communicate findings and support decision-making processes.