
Reaction Mechanism Reduction
In this project, the students will be asked to perform a mechanism reduction technique. They will also be asked to capture the aspects of the combustion process.
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The Computational Combustion using Python and Cantera from Skill-Lync is an essential course for mechanical engineering students who are interested in the combustion and CFD domain. In this course, students will learn the fundamentals of thermodynamics, equilibrium chemistry, and elementary reactions. With Python and Cantera, students will learn ignition delay calculation, flame speed calculation and more advanced topics in combustion.
Our projects are designed by experts in the industry to reflect industry standards. By working through our projects, Learners will gain a practical understanding of what they will take on at a larger-scale in the industry. In total, there are 2 Projects that are available in this program.

In this project, the students will be asked to perform a mechanism reduction technique. They will also be asked to capture the aspects of the combustion process.

In this project, the students will be asked to perform sensitivity analysis using Cantera. They will be capturing the time-wise variation of thermodynamic variables.
Become job ready with our comprehensive industry focused curriculum for freshers & early career professionals
A: There are many real-world applications of the course. It teaches you several industry-relevant skills which will help you perform efficiently at a job.
A: Yes, you will get an e-verified profile after completing the course, which you can share on relevant websites such as LinkedIn.
A: Yes, you can approach a skilled expert through email support, group video support, forum support, and telephone support to get your doubts cleared.
A: The course will be delivered to you through online mode.
A: Yes, you will be working on several projects during the course, including flame temperature, combustion efficiency, auto ignition, and more.
A: Yes, you will work on several software and tools during the interim of the course, including Python and Cantera.
A: You can expect to gain academic learning from industry experts who have extensive knowledge in their field.
A:Access to Python and Cantera is free.
A counsellor will walk you through the syllabus, projects and fee options — and tell you honestly if another course suits you better.