Combustion CFD specialist

Combustion CFD specialist

  • 0% EMI Option Available
  • Domain : CFD
  • Pre-requisites : For Mechanical & Automotive Engineers
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A Quick Overview

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. After which 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 set up validation cases.

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 understand 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.

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Introduction to Computational Fluid Dynamics using MATLAB and OpenFOAM SYLLABUS

1Introduction

Fluids are an essential part of our existence. From breathing air to drinking water, from Cricket to Football, from F1 racing to air travel, our interaction with Fluids is inevitable for our living and survival. Therefore it is essential for us to understand how these fluids work and to be able to predict/simulate how they behave under concerning circumstances so that we can make them work to our advantage. That is where CFD comes into the picture. CFD is a tool that can help us simulate a fluid’s behaviour by solving its governing equations numerically with the help of modern computation capabilities.

 

In this course, you will be working on MATLAB and OpenFOAM. MATLAB is an interactive programming tool for scientific computing. OpenFOAM is a prominent open-source software for Computational Fluid Dynamics. This course falls under the CFD domain. The students/professionals who want to establish a career in simulating/studying how a fluid interacts with different mechanical systems and finding ways to optimize the system can take up this course. The key application areas of CFD include Aerospace, Automotive, Construction, Power and Energy, Turbo-machinery and Biomedical.

 

This course will provide the much-needed foundation on the basic aspects of CFD and how it can be used to optimize a mechanical system. You will also develop a working knowledge of the software by solving various CFD problems. 

 

As our machines are getting more advanced day by day, our reliance on computers is only increasing. And this is leading to the adoption of CFD by many industries. The problems that seemed impossible to solve are being solved using advanced computing capabilities. In the future, as technology becomes cheaper, CFD will surely be the most preferred testing method and will witness a big surge in its use. Thus, the job prospects for CFD in the near and far future look bright.

 

 

2What is Computational Fluid Dynamics?

In this module, you will understand what CFD is and its significance. You’ll also learn what the Navier-Stokes equations are and how they’re derived.

  • CFD - An introduction, Necessity, Advantages, CFD Modeling Process

  • Deriving and understanding the Navier Stokes equations

    • Substantial derivative

    • Continuity Equation

    • Momentum Equation

    • Energy Equation

  • Significance of Reynold’s number in the NS equations

3Mathemathics and Fluid Dynamics Essentials

In this course, you will be writing solvers and getting your hands dirty with different numerical methods. Before we do this, it is very important to understand the essential mathematical and fluid dynamics concepts that you will encounter.

  • Basic Vector Calculus

    • Divergence, Gradient and Curl

  • Taylor’s Series

  • Initial and Boundary Conditions

  • Classification of PDEs and their characteristics

  • Learning essential Fluid Dynamics quantities and their Dimensional Analysis

4Introduction to MATLAB and Basic CFD Concepts

It is essential to establish a rigid foundation before plunging into the farther depths of CFD. This is where you get introduced to MATLAB and learn the basic concepts of CFD by writing MATLAB scripts. Here are some topics that we would cover:

  • Getting acclimated to the MATLAB interface

  • Numerical discretization and its types

  • FDM - Understanding different schemes with worked examples in MATLAB

  • Deriving own FD schemes using Taylor’s table

  • Solving ODEs in MATLAB using the ‘ode45’ solver

5Exploring CFD by Solving Standard CFD Problems using FDM

In this section, you would venture into the Finite Difference Approach to discretization and solving various benchmark CFD problems in MATLAB. You’ll also be working on two major and two minor projects here. The list of projects are as follows;

  • Solving the 1D linear convection equation and performing stability analysis

  • Major Project: Simulating 2D unsteady/steady heat conduction equation and studying implicit vs explicit approaches

  • Solving coupled linear systems using iterative solvers

    • Jacobi

    • Gauss-Seidel

    • SOR

  • Major Project: Simulating Quasi 1D subsonic-supersonic nozzle in FDM and studying conservation vs non-conservation forms of governing equations

6Introduction to FVM and OpenFOAM

OpenFOAM is an open-source toolbox with in-built Numerical Solver and pre/post processors for solving CFD Problems. It is based on the Finite Volume Method of discretization. In this section, you will learn how to run a simulation on OpenFOAM and the significance of using an FVM approach. These are the topics you would learn:

  • Finite Volume Method and Gauss divergence theorem

  • Understanding the Linux environment

  • OpenFOAM code organization and case setup

  • Detailed blockMeshDict tutorial

7Solving standard CFD Problems in OpenFOAM

It is important to get a real feel of problem-solving using the OpenFOAM software so that you can explore and simulate a wide variety of problems. This is where we create a platform that will enable you to start any simulation from scratch and establish confidence in your result. You will be working on the following major projects.

  • Flow over Backward Facing Step

    • Code the geometric mesh information inside the C file ‘blockMeshDict.’

    • Implement mesh grading factor

  • Laminar flow through the pipe and Validate results

    • Automate the ‘blockMeshDict’ generation on MATLAB

    • Characterization of fully developed flow

    • Explore different boundary conditions


Projects Overview

2D Simulation

Highlights

In this project, you will learn how to discretize and solve an unsteady and steady diffusion phenomenon using a Finite Difference Method in MATLAB/Octave. Also, you will learn to use both implicit and explicit time integration approaches to solving an unsteady problem. We will work on how to use 3 different iterative methods to solve implicit equations and compare their effectiveness. Finally, you will perform a stability study and understand the criteria to obtain a stable and reliable solution.


  • 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


MacCormack Method

Highlights

In this project, you will simulate the conditions for an inviscid flow inside a Subsonic-Supersonic Convergent-Divergent Isentropic Nozzle. You will perform a quasi-1D simulation using the FDM approach in MATLAB/Octave. The student will then investigate the conservation and non-conservation forms of the governing equations and learn their characteristics and applications. 


  • 1D supersonic nozzle flow using MacCormack Method

  • Implement Conservative and Non-Conservative form

  • Implement Courant Number based time step control

  • Solve Normalized Governing equations


Laminar Flow

Highlights

In this project, you will simulate a laminar viscous flow across a sudden steep expansion in area and study the boundary layer separation phenomena. You will learn how to set up and run a case in OpenFOAM in the Linux environment. You will also learn how to customize the course code to suit this problem. And finally, implement different mesh grading factors and compare the results.

  • Simulate this classical CFD benchmarking problem

  • Run grid dependency test

  • Implement mesh grading

  • Study the boundary layer separation phenomenon



BlockMesh Generation

Highlights

In this project, you will simulate the laminar viscous flow through a regular pipe using symmetry and wedge boundary conditions and compare the simulation result with the analytical one obtained using the Hagen-Poiseuille formula. You will to then write a program to automate the generation of the Mesh file. The simulation will be run in OpenFOAM and post-processed in Paraview. 

  • Automate mesh generation process using MATLAB/Octave

  • Perform Wedge Vs. Symmetry BC study

  • Understand fully-developed flow and Hydro-dynamic entrance length

  • Compare the results with the analytical result from Hagen-Poiseuille formula


Computational Combustion using Python and Cantera SYLLABUS

1Introduction

Cantera is an open-source suite of tools for problems involving chemical kinetics, thermodynamics, and transport processes. Computational combustion is a field of numerical modelling and simulations using advanced large‐scale parallel systems and offers a new avenue to analyze and interpret the dynamics of acoustic‐flame‐vortex interactions that occur in most combustion systems. 


The course comes under the domain of mechanical and automotive engineering with CFD as a sub-domain. The Cantera library can be imported to MATLAB, Python, and C++. Python is the language of choice because it's widely used and can handle the operations better than MATLAB or C++. 


This course is useful for students and working professionals who have a background in thermodynamics and programming and are interested in learning about the function of engines and combustion modelling.


2Fundamentals 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

  • Air fuel ratio

  • Equivalence ratio

This module covers the various properties of thermodynamics as well as combustion which is very useful in modelling the combustion. The relation 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. 


3Intermediary 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 to understand the derived properties of chemical kinetics, and 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 to understand the practicality of the system we are designing.


4Equilibrium 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 the equilibrium will allow you to understand if a chemical reaction is at equilibrium and the 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, which helps design the reactor system. 


5Elementary Reactions

This module will introduce 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 single-step reactions known as elementary reactions. 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

6Introduction 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.


7Ignition Delay Calculation

Ignition delay is the time lag between the start of injection to start of the 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

8Flame 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 are going to affect the flame speed the most.

9Advanced 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

10Introduction 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.


Projects Overview

Flame Temperature

Highlights

The adiabatic flame temperature for a given fuel-oxidizer combination is determined by finding the final state temperature (i.e. the adiabatic flame temperature) for which the sum of the enthalpies of the reactants equals the sum of the enthalpies of the products. The calculation of thermal efficiency becomes easy once we know the AFT. The efficiency further allows you to improvise the reactor system. 

Combustion Efficiency

Highlights

A recuperator is a heat exchanger in which energy from the exhaust of hot combustion products, i.e flue gases, is transferred to the inlet air for increasing its temperature. The effect of such preheating of air can be seen in improving combustion efficiency as well as Adiabatic Flame Temperature. This analysis is performed to effectively utilize the exhaust gas recirculation and increase the efficiency of the reactor. 

STIFF ODE

Highlights

In this project, you will be solving a STIFF ODE system from scratch. This helps you understand how reacting systems are solved.
The Newton-Raphson method (also known as Newton's method) is a way to quickly find a good approximation for the root of a real-valued function f(x)=0. It uses the idea that a continuous and differentiable function can be approximated by a straight line tangent to it. This numerical method is effective for stiff ODEs. 

Auto Ignition

Highlights

In this project, you will be exposed to the Cantera reactor network and its uses in solving various models. The reactor network allows you to calculate the expansion/compression work, heat transfer, mass transfer, and surface interaction with the environment. The auto-ignition gives the time required for combustion to take place and controlling it can be beneficial for controlling pollutants as well as for complete combustion.

Sensitivity Analysis

Highlights

The correct description of chemical changes requires the application of reaction mechanisms consisting of several hundred or thousand reactions. This means that the chemistry of the combustion process is described by a huge number of parameters and hence the application of the sensitivity analysis techniques is very useful for its understanding of those parameters. 

Detailed chemical models are too big for many practical combustion simulations. Sensitivity analysis can be used for mechanism reduction, that is, finding a smaller model that produces similar predictions for some of the variables (i.e., species concentrations and temperature).


Flame Speed

Highlights

The flame speed is the measured rate of expansion of the flame front in the combustion reaction. The flame speed of fuel is a property that determines its ability to undergo controlled combustion without detonation. This project is the study of flame speed by considering the effect of temperature, pressure and concentration on it.

Reaction Reduction

Highlights

This detailed mechanism for methane-air combustion(GRI3.0) is probably the most famous one. It comprises 325 reactions and 53 species. The reduced mechanisms include only the top reactions and the associated species. The reduced mechanisms with a certain number of species are able to adequately simulate the ignition delay, sensitivity  problem. Such a reduced mechanism saves a lot of computational resources as well as time. 


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Frequently Asked Questions

1Who are the instructors and what is the learning process?

Our instructors are industry experts who are working or have worked in Fortune 500 companies. We also partner with academicians who help us craft course content that will best support our students and get recruited and start adding value for their organization from day one.
Our course content is pre-recorded. You will be given access to this content immediately after you have enrolled in our course. Alongside the course videos, you will also be given assignments each week. You will work on these assignments and have it evaluated by our technical support engineers. Apart from this, you will also work on industry-oriented projects that will improve your understanding of the various tools used in the industry and their underlying principles. 

2Are there any prerequisites for this course?

You should be pursuing or have graduated with a B.E/B.Tech in Mechanical or Automotive Engineering.

3What kind of support I can expect? What if I have doubts?

Our team of dedicated Technical Support Engineers are always available to answer any queries you might have when you are studying. Studying online courses on your own often comes with the problem of lacking motivation, our Technical Support Engineers will work with you to ensure that you complete the course work and start working in the domain of your interest.  


There are a number of ways through which you have your query answered.
You can ask your questions by raising tickets from your student window screen, and a technical support engineer will respond and help you achieve conceptual clarity. If you did not understand the solution, you can request the technical engineer to share their screen with you and they will explain the areas that you find difficult. Apart from this, you can also send us an email, which we will respond to in under 24 hours. You can also call us at our helpline number - which will be provided once you have enrolled in a course. 


We also have group doubt clarification sessions, where you will interact with your fellow batchmates. This will allow you to understand the different ways your fellow batchmates are using to solve a question. Besides this, you can also raise your queries through the Whatsapp number that will be made available to you. 


4How is this different from what I learnt in college?

The course that you studied in college was designed years ago and does not take into account the current market trends or what the industry expects from graduates. Our courses have been designed in consultation with industry experts and leading academicians. Skill-Lync courses are geared to help you find employment as soon as you complete the coursework. This is possible only because of the projects that you will complete as part of your curriculum, in your college you might have done one major and one minor project. But, each module in a Skill-Lync course has a corresponding project, and these projects are industry-oriented. Which means that if you were to look at the project that an engineer at a top OEM is working on, it will be similar to a Skill-Lync project, the only difference being the scale of the project. 


Simply put - there's a world of a difference between what you have studied at your college and what you will get trained in when you study at Skill-Lync. 

5What advantages will I gain by taking this course?

You will have an edge over your peers by working extensively on industry-relevant projects, practice on tools and software that will set you apart and help you in getting ahead of the competition. Along with this, when you enroll in a Skill-Lync course you will get access to the Skill-Lync Student Success Team - who will ensure that you get placed at the end of your course. They will help you polish your resume, and help you properly present your projects on your LinkedIn and other external pages. They will also scour for any opportunity that you might be qualified for and help you apply for it. After which they will help you train in all the possible variations of interview questions. Before the interview, you will also be trained in tool tests, in which your comprehension of all the tools that you have studied in the duration of the course will be cemented along with the underlying principles.


6Do I get access to the software?

Python and Cantera are open source libraries.


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