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Computational Combustion using Python and Cantera in Bangalore

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.

12 weeks long course | 100% Online

Learn from leading experts in the industry

Project based learning with 2 industry level projects that learners can showcase on LinkedIn.

Learn Key Tools & Technologies Python, Cantera

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Syllabus

This course is full of best-in-class content by leading faculty and industry experts in the form of videos and projects

Course Overview

  • In this course, the students will be introduced to the fundamental concepts of Combustion and Object-Oriented Programming.
  • Students shall gain insights into how combustion modelling can be done using Python- Cantera interface for various combustion phenomena.
  • By the end of the course, the student will have the technical know-how to solve Combustion CFD problems using Cantera.

Course Syllabus in Bangalore

On a daily basis we talk to companies in the likes of Tata Elxsi and Mahindra to fine tune our curriculum.

Week 01 - Fundamental of Chemistry

  • In this module, you will learn about different fuel types, species nomenclature, and concepts such as:
    • Molecular weight
    • Moles
    • Density
    • Mass Fraction, Mole Fraction, and PPM
    • Vapour pressure
    • Equation of State
    • The air-to-fuel ratio
    • Equivalence ratio
  • This module covers the various properties of thermodynamics as well as combustion, which is very useful in modeling combustion. The relationship between various properties helps you make the right decision, and the results are compared with the numerical data of those properties. The module also covers the units of the above entities and their significance. 

Week 02 - Intermediary Thermodynamics

  • This module provides the opportunity to refresh your basics in thermodynamics and learn several intermediary concepts such as:
    • Enthalpy of reaction
    • Adiabatic flame temperature
    • Lower and higher heating values
  • This module will cover concepts that are helpful in understanding the derived properties of chemical kinetics and will help understand the rate of reactions and their impact on reactor systems. 
  • The above parameters can be a good starting point for optimizing the reactor system. The theoretical calculation of the above parameters will help you understand the practicality of the system we are designing.

Week 03 - Equilibrium Chemistry

  • Equilibrium chemistry models are very commonly used to construct simplified combustion models. In this module, you will learn the following:
    • Full Equilibrium
    • Water Gas Equilibrium
    • Pressure effects
    • Understanding NASA's thermodynamic data files
  • This module will teach the difference between homogeneous and heterogeneous equilibrium. Understanding equilibrium will allow you to understand if a chemical reaction is at equilibrium and in which direction the chemical reaction must proceed to attain equilibrium. 
  • It helps you to understand the new equilibrium attained when a change in concentration of either a reactant or a product is made to a system initially at equilibrium. Besides, this module will also teach you to read NASA or any other standard data that helps design the reactor system. 

Week 04 - Elementary Reactions

  • This module will introduce you to chemical kinetics and you will learn the following topics:
    • Global and elementary reactions
    • Rate of a reaction
    • Forward rate and backward rate
    • CHEMKIN formatted mechanism file
  • In this module, we define the reaction rate and a few associated terms and introduce the simplest type of chemical reaction, which is a single-step reaction known as an elementary reaction. We will investigate the various factors that determine the rate of an elementary reaction, which allows you to calculate rate constants and explain their temperature dependence.

Week 05 - Introduction to Python and Cantera

  • In this module, you will study Python, an extremely popular programming language.
  • You will learn Python by writing programs related to chemical kinetics.
  • Once you can write simple programs in Python, we will introduce you to Cantera.
  • With Cantera, you will be able to simulate different types of combustion systems.
  • Cantera is an extremely popular tool that is used in several universities and organizations for research and industrial purposes.

Week 06 - Ignition Delay Calculation

  • Ignition delay is the time lag between the start of injection and the start of combustion when the air-fuel mixture is ignited. It is one of the major factors that help in determining the performance of an IC engine. In this module, we will teach you to build several zero-dimensional reactors. These types of simulations will be used to predict the ignition delay and flame speeds of popular fuels.
    The objective of the module is to study the dependence of ignition delay time on
    • Cylinder ambient gas temperature 
    • Cylinder ambient gas pressure
    • Injection pressure 
    • Injector nozzle orifice diameter

Week 07 - Flame Speed Calculation

  • While designing combustion systems, flame speed plays an important role in determining their performance.
  • In this module, you will learn how to calculate flame speeds.
  • Note that this parameter depends upon the type of reaction mechanism that is being employed and the thermodynamic conditions in the combustion chamber.
  • You will also perform a sensitivity analysis that helps you determine which of the elementary reactions is going to affect the flame speed the most. 

Week 08 - Advanced Topics in Combustion

  • In this module you will learn the following topics:
    • Perfectly stirred reactor
    • Steady-state combustion and its relevance for gas turbine applications
    • Extinction and blow off limits
    • Premixed, diffusion, and partially premixed flames

Week 09 - Introduction to 3D Combustion

  • In this module, you will be trained in the core concepts that are used while simulating combustion in complex 3D geometry.
  • Here you will learn about the current trends along with the cutting-edge tools that are used in the industry.
 

Our courses have been designed by industry experts to help students achieve their dream careers

Industry Projects in Bangalore

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.

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.

Sensitivity Analysis on GRI Mechanism with respect to Temperature using Cantera

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.

Our courses have been designed by industry experts to help students achieve their dream careers

Ratings & Reviews by Learners

Skill-Lync has received honest feedback from our learners around the globe.

Google Rating
4.6

Design Your Career Path with the Computational Combustion using Python and Cantera Course in Bangalore

This short-term course imparts knowledge on the fundamental concepts of combustion and object-oriented programming.

The Computational Combustion using Python and Cantera Course in Bangalore

Skill-Lync's course for mechanical engineers offers insights into how combustion modelling can be done using Python- Cantera interface for different combustion phenomena. As you start the modules, you will learn about myriad concepts such as numerical modelling, simulations, and the use of large-scale similar designs. After completing the course, you will gain expertise in writing codes associated with chemical kinetics in a tie with Python. 

This 12-week-long Python course in Bangalore helps you clear your doubts and queries with professional experts through group video, email, telephone, and forum support. It provides on-hand training on real-time projects like Reaction Mechanism Reduction and Sensitivity Estimation on GRI Mechanism about Temperature using Cantera. 

At the end of the course, you will receive a course completion certificate. If you're in the top 5%, you will be eligible for a merit certificate. 

FAQs about the Computational Combustion using Python and Cantera Course in Bangalore

Q 1. Why choose Skill-Lync's Computational Combustion using Python and Cantera course in Bangalore?

Once the course is concluded, you will be able to address various tasks related to thermodynamics, recognise the derived properties of chemical kinetics, comprehend the disparity between homogenous and heterogeneous equilibrium, etc.

Q 2. What are the prerequisites for taking up the Computational Combustion using Python and Cantera course in Bangalore?

 This course is the best way to learn Python for students from automotive, mechanical, and thermal engineering backgrounds. 

Q 3. What is the program fee for Skill-Lync's Computational Combustion using Python and Cantera course in Bangalore? 

Skill-Lync's Python course fees in Bangalore consists of three plans: Basic, Pro, and Premium. The Basic Plan offers 2 months' access at Rs 7000 per month for 3 months. The Pro Plan provides 4 months' access at Rs 10,000 per month for 3 months, and the Premium Plan offers lifetime access at Rs 15,000 per month for 3 months. 

Q 4. What are the benefits of doing the Computational Combustion using Python and Cantera course in Bangalore? 

The course helps you gain expertise in two principal software tools, Cantera and Python, and NASA thermodynamic data files. You will learn about Intermediary Thermodynamics, Equilibrium Chemistry, Ignition Delay Calculation, 3D Combustion, etc. This Python course will also improve your dexterities in communication and leadership, which may help you advance in your career. The course projects will help you gain practical experience and build your portfolio. 

Q 5. What are the career prospects after completing Skill-Lync's Computational Combustion using Python and Cantera course in Bangalore?

After completing this Python online course in Bangalore, you will be eligible for roles like:

  • Thermodynamic engineer
  • Combustion engineer
  • Fuel injection system designer
  • Powertrain systems developer

Q 6. After completing this Python online course in Bangalore, what is the expected salary range?

The salary after completing the Python course in Bangalore depends upon your skills and experience. The average salary of a thermal engineer is Rs. 11 lakhs per annum.

Instructors profiles

Our courses are designed by leading academicians and experienced industry professionals.

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1 industry expert

Our instructors are industry experts along with a passion to teach.

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7 years in the experience range

Instructors with 7 years extensive industry experience.

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Areas of expertise

  • CFD

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