Combustion CFD specialist

Rs 60,000

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Included Courses

1. Introduction to Computational Fluid Dynamics using MATLAB and OpenFOAM

This is a 12 week course. You will learn how to write your own solvers in MATLAB. Once you have completed MATLAB, we will shift your focus to OpenFOAM. Here, you will learn the basics of FVM and the different numerical schemes and procedures that have been implemented in it. You will setup validation cases.

In total you will complete 4 projects in this course

2. Computational Combustion using Python and Cantera

In this course, you will learn computational combustion using Python and Cantera. You will understanding how combustion is simulated and write computer programs to simulate chemical kinetics. You will be learning how to computed combustion metrics such as Flame Speed and Ignition delay by performing detailed calculations.

You will complete 2 projects in this course.

Projects you will be doing in this program?

1. 2D Heat Conduction Simulation

  • Solve 2D Steady and Transient heat conduction problem
  • Implement Jacobi, Gauss-Seidel and Successive Over-Relaxation solvers
  • Implement Implicit and Explicit methods to solve the transient part
  • Implement Diffusion CFL number based time step control

2. Supersonic nozzle flow simulation using MacCormack method

  • 1D supersonic nozzle flow using MacCormack Method
  • Implement Conservative and Non-Conservative form
  • Implement Courant Number based time step control
  • Measure shock capture accuracy

3. Automated blockMesh Generation for Meshing Pipe Geometry

  • Automate mesh generation process using MATLAB/Octave
  • Handle Symmetry BC
  • Implement grid stretching

4. Flow over a Backward Facing Step

  • Simulate this classical CFD benchmarking problem
  • Run grid dependency test
  • Perform Turbulence Model sweep studies

5. Solving STIFF ODE system by using Backward Differencing and a Multivariate Newton Rhapson Solver

In this project, you will be solving a STIFF ODE system from scratch. This helps you understand how reacting systems are solved.

6. Sensitivity Analysis and Mechanism Reduction

In this project, you will be writing code to reduce the number of reactions in given mechanism by performing sensitivity analysis.

Modes of Support

We offer 6 modes of support through which you can contact the instructor and the support engineers to clear your doubts & questions.

Live Support Sessions

Every week, there will be 3 suport sessions where you can interact one-on-one with the instructor to clear your doubts.

WhatsApp Groups

You will be in a WhatsApp Group along with the course instructor & support engineers where you can post your questions.

Forum Pages

We have a very vibrant course forum where you can find the answers to the most of your doubts.

Ticketing Systems

You can also send us your questions through mail where a ticket will be created and your questions will be answered shortly within few hours.

On-Call Support 

In case, you want to clear any doubts immediately, you can always call our support engineers & they will be happy to assist you,

Online Chat Support

You can connect to us anytime with our all-time chat support. You can explain your doubts. We will help you right away through call or live session.


1 . How will the instructor teach?

Our instructors are industrial experts working in Fortune 500 companies. We partner with them to deliver the lectures online. You will be given access to recorded content and assignments each week.

2 . Are there any prerequisites for this course?

You should be pursuing B.E/B.Tech in Mechanical, Aerospace, Automotive, Production or Manufacturing

3. What kind of support I can expect?

Our support system is amazing!. You can read our reviews on Google to see this. We focus on one-on-one support which no one else does. We will communicate with you through WhatsApp messages/calls, individual online sessions and also in person.

4 . How can I use the letter of recommendation?

You can use it for job search and higher education. Recommendation letters are given only for candidates that have performed extremely well.

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