Limited to 40 participants ONLY!!!

Computational Fluid Dynamics is the area of engineering that deals with the numerical simulation and analysis of fluid flows encountered by an engineer (mechanical, automobile, aeronautical, civil, environmental and so on) daily in multitude of circumstances. CFD is a very robust technique that finds wide applications in various industry sectors. There is an immense need for engineers, who understand and can apply the techniques of CFD to solve a variety of design, analysis and optimisation problems.

One of the objectives of this workshop is to review and to show the participants how to use CFD codes to obtain meaningful information. The workshop will also provide users with the information on several modeling approaches involving physics relevant to certain applications. During this hands-on workshop, attendees will also have a chance to run a sample model on the lab computer of code and evaluate the results.

This workshop is for undergraduate and graduate students, engineers and scientists who want to learn how to use modern computational tools to improve the performance and design of engineering applications. The audience is encouraged to participate in this workshop that promises to provide a unique platform and opportunity to interact with CFD expert.

Course Structure and Topics Covered:

  • Review of Fluid Mechanics & Advanced Mathematics
  • Basics of CFD:
    • Introduction to CFD
    • CFD principles and practices
    • Governing Equations
    • Numerical Techniques & Mathematical Modelling .



  1. To share the uses and current trend of computational fluid dynamics.
  2. To expose users on the variety of computational fluid dynamics technique.
  3. To provide hands-on experience for participants using CFD software.
Who Should Attend

We recommend attending this event for: 

  • Researchers
  • Students
  • Graduate students
  • Users new to CFD and anyone interested in an overview of CFD

©2019. Laboratory of Computational Sciences and Mathematical Physics. Institute for Mathematical Research. UPM.