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Computational Combustion using Python and Cantera

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

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

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

Build a strong foundation with the Computational Combustion using Python and Cantera course

 This Python online course certification is designed to help you build your basics in the field of computational combustion. While undergoing this course, you will learn about various concepts such as simulations, numerical modelling, and the use of large-scale parallel systems. You will also be covering several essential concepts related to computational combustion at an advanced level.

The course is designed by professional experts and delivered through online videos. You can access the content at any time for self-study and make the most of the online learning experience. You can also avail a course demo to understand how far this course is suitable to your learning needs.

The course fees are flexible, ranging from Rs. 7000 to Rs. 15,000 per month, depending on the plan of your choice. 

Who Should Take the Course?

The Python course for mechanical engineers is a stepping stone towards fruitful career opportunities and job prospects. The course is suitable for students in mechanical, automotive, and thermal engineering as it talks more about subtopic CFD.

With its vast outreach, this course is the best way to learn Python and related tools, which will assist you in capturing the essence of the course. Thus, it will also prove to be useful for students interested in pursuing higher studies.

What Will You Learn?

This course in Python for mechanical engineers and other candidates will provide intensive learning in the field of chemistry and Python. Once the course is complete, you will be able to handle various tasks and assignments related to the understanding of properties related to thermodynamics and combustion, acknowledge the derived properties of chemical kinetics, understand the difference between heterogeneous and homogenous equilibrium, etc.

After completing the course, you will also gain the expertise to write programs related to chemical kinetics in association with Python and learn the process involved in building zero-dimensional reactors. On the practical front, you will gain the knowledge required to calculate flame speeds and the core concepts needed for the simulation of combustion in complex 3D geometry. 

Skills You Will Gain

  • The course provides skillful access to learning two prominent software tools, Python and Cantera.
  • You will understand about NASA thermodynamic data files.
  • The course will also enhance your skills in communication and leadership which will help you progress in your career and achieve better positions.

Key Highlights of the Program

  • After completing the course, you will be eligible to receive a course completion certificate.
  • The course involves numerous projects and assignments so that you can get practical exposure.
  • You will find this course quite explanatory through multiple modules and software learning.

Career Opportunities After Taking the course

With this courseyou can gain practical exposure and get experience to work across multiple job positions. Your roles include

  • Thermal Engineer
  • Thermodynamic Engineer
  • Combustion Engineer
  • To design a fuel injection system
  • To develop powertrain systems

At each of these job profiles, you will be in charge of handling various tasks pertaining to advanced analytics, engineering, and technology. As part of your professional network, you will take up various challenging tasks that will test the skills you will gain during this course.

FAQs on Computational Combustion using Python and Cantera

Q: Is it useful to enroll in this course if I want to get a job?

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.

Q: Will I be able to get an e-verification after completing the course?

A: Yes, you will get an e-verified profile after completing the course, which you can share on relevant websites such as LinkedIn.

Q: Will I get any support if I have doubts?

A: Yes, you can approach a skilled expert through email support, group video support, forum support, and telephone support to get your doubts cleared.

Q: What will be the mode of delivery of the course?

A: The course will be delivered to you through online mode.

Q: Does the course involve any project work?

A: Yes, you will be working on several projects during the course, including flame temperature, combustion efficiency, auto ignition, and more.

Q: Do students get to work on any software during this course?

A: Yes, you will work on several software and tools during the interim of the course, including Python and Cantera.

Q: Who will be teaching the course?

A: You can expect to gain academic learning from industry experts who have extensive knowledge in their field.

Q: From where can I source the software for practice?

A: Access to Python and Cantera is free.

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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