AICTE Course on Advanced Computational Techniques for Fluid Dynamics at IIT Madras [Nov 25-30]: Register by Oct 25: Expired


The course will focus on the development and application of mesh-free methods in CFD, with a special focus on immersed-boundary methods. The development and application of grid-free and immersed-boundary methods, which fall under the category of advanced techniques in CFD, is an active research area. These methods are being used to solve a wide range of problems that include aerospace applications to simulation of biological flows.

The course will include a mixture of discussions on the theoretical foundations of the different grid-free methods, mode of implementation into existing CFD codes and varied applications. Formulation details of some established immersed-boundary methods will be discussed in the context of several applications.

Shortcomings and further scope of research in this technique will also be highlighted. The attendees are expected to get an insight into the approach to developing some new variants of grid-free/ immersed-boundary methods.

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Course Content
  • Basics of fluid mechanics
  • Introduction to CFD: FDM, FVM, and FEM
  • Introduction and challenges in grid generation
  • Grid-free methods: an overview
  • Immersed-boundary method (IBM): evolution and classification
  • Continuous- and discrete-forcing IBM
  • Applications of IBM in flow control, heat transfer, and aerodynamics
  • Surface stress estimation in IBM
  • Future research and challenges in grid-free methods/IBM
Who can Attend?

The course is open to faculty with a background in Aerospace, Mechanical, Automobile, Civil, Chemical, Metallurgy, Ocean Engineering, and Engg. Design from engineering colleges approved by AICTE. No course fee is charged for participants sponsored by AICTE approved institutions.


To download the registration form, click here.

The duly sponsored application form should be posted to Dr. Santanu Ghosh, 
 Assistant Professor Dept. of Aerospace Engineering IIT Madras, CHENNAI – 600 036.


Email ID: sghosh1@iitm.ac.in

For further details, click here.

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