The program comprises of 6 courses that train you on all the essential engineering concepts and tools that are essential to get into top OEMs as a CFD Engineer.
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Request a Demo SessionIn 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
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
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
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
OpenFOAM is an open-source toolbox with an 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
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. In this module, we will create a platform that will enable you to start any simulation from scratch.
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
In this module, you will learn about CFD and its uses. You will also be introduced to the basic governing equations solved and many schemes and algorithms used to stabilize and improve the accuracy of the solution. Governing equations of fluid motion Numerical discretization Fluid solver Boundary conditions Post-processing
In this module, the focus is to simulate basic compressible and incompressible flows using ANSYS Fluent.You will be introduced to the streamlined workflow on the Workbench tool from geometry creation to the solution post-processing procedure. You will be getting hands-on experience in Geometry creation Meshing Boundary and initial condition calculation Setting up solution algorithms Solving and post-processing
In this module, the focus is to simulate basic compressible and incompressible steady-state simulations. This provides you an introduction to the solution setup procedure for a steady-state simulation. You will get hands-on experience in Geometry creating using space claim How to setup steady-state simulations? Checking for convergence and understanding when the simulation converges for different Boundary Conditions? How to create runtime animation of engineering parameters? Project 1 - HVAC simulation inside a mixing TEE Project 2 - Performing a parametric study on flow inside a gate valve Project 3 - Performance characterization of a cyclone separator
Meshing is an important component in CFD analysis. Improper meshing can lead to bad results. In this module, you will learn the different meshing techniques that can improve the solution accuracy with a balanced computational cost.
You will learn the fundamentals of performing external flow analysis using ANSYS Fluent. It provides you with the knowledge on the boundary layer concept, needs of Y plus, and wall functions. Here, we will focus on the following topics.
Setting up virtual wind tunnels using the enclosure utility
Item 2
Understand Vortices, calculating downforce & drag on a vehicle
Y+ Estimation & grid refinement
In this module, you will learn how to simulate solid side heat transfer along with the fluid flow. Conjugate Heat Transfer (CHT) refers to simulating multiple modes of heat transfer. For example, in one of the projects, you will simulate the heat transfer in an exhaust manifold when hot exhaust products are flowing through it. When you complete this module, you will be able to do the following
Discrete Phase Modelling (DPM) is used to model particles, fuel drops, coal and any other type of suspended phases. You will work on problems like Cyclone Separator, where you will incorporate the DPM approach to simulate how suspended impurities travel through a Cyclone Separator. You will be getting hands-on experience in
Different types of Discrete Phase Boundary conditions and its effects
Methods of tracking the Discrete Phase Particles
Turbulence Intensity and Vortex Core Visualisation
You will learn how to write a customized program and create different monitor points and take the relevant information you need to form a simulation.
In this module, you will learn how to simulate reacting flows using ANSYS Fluent. This includes combustion applications.
In this module you will learn Python - an extremely popular programming language. You will learn Python by writing programs related to chemical kinetics. Once you are in a position to 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 being used in several universities and organizations for research and industrial purposes.
While designing combustion systems, the 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.
In this module you will learn the following topics:
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 in cutting edge tools that are used in the industries.
In this module you will learn how to set up a CFD simulation using CONVERGE CFD. You will be provided with step-by-step instructions on the following: CAD import and cleanup Decomposing the model into boundaries and volumetric regions Inputting valve timing Choosing turbulence and combustion models Running the case in parallel environment Post processing
In this module, you will learn surface preparation in complete detail. Specifically, Setting up the piston motion profile Boundary flagging Setting up the intake and exhaust valves
In this module, you will learn the following concepts: Initializing pressure, temperature and species concentration in the intake, Exhaust and fire deck regions Disconnect triangles Valve timing and the concept of minimum lift Valve profile input
In this module, you will learn how turbulence is modeled and simulated in a state-of-the-art CFD solver. You will learn about the different classes of turbulence models and understand their merits and demerits.
Learn about RANS approach to model turbulence
Comprehend the math involved behind RANS and its derivations
Learn theory on different types of turbulence models available (RNG k-ε, k-ω SST, etc.) and appreciate which model is suitable for which type of application.
In this module, you will learn how the SAGE detailed chemical kinetics solver works. In addition to this, you will also learn how to use the Shell CTC combustion model.
To design efficient engines, one needs to have a firm grasp of emissions modeling. You will learn about the Hiroyasu Soot Model and the Zeldovich Nox model and apply them in engine simulations.
GT-POWER is the industry's first choice when reliable results are needed for engine thermodynamics and combustion/emissions development. The intelligent integration of modules within it [GEM 3D; Cool 3D; GT - VTD; GT - TAItherm ] coupled with Simulink, Star CD, Converge, Fluent and other codes facilitates easy solutions for complex tasks early in the development phase and provides unparalleled accuracy during the detailed design phase.
Over the past decade, an increase in air pollution all around the globe as well as the recognition that fossil fuels will not be available forever, has inspired OEMs to develop electrified powertrains. But, this has also opened the door to investigate new technologies that could significantly improve the ‘old fashioned’ combustion engine in both efficiency and emissions. In this section, you will get an in-depth look at the functioning of SI Engine operations.
Virtual prototyping is an efficient and effective way to test new ideas. In this module, you will look into some aspects of SI Engine including the basics of fuel spray in the combustion chamber, spray and wall film models accounting for premixed and sooting diffusion combustion detecting knock precise heat transfer modeling.
Understanding the mechanics for modeling combustion in a CI Engine. These solutions play an integral role in engine simulations to accurately predict performance, fuel consumption, and engine-out emissions. Various models are available to predict combustion and pollutant formation based on in-cylinder conditions, knock, cycle-to-cycle variation (CCV), and other related processes.
Further our understanding by modeling an ‘On-road’ application by calibrating critical CI Engine concepts such as ignition delay time for mixtures of air, fuel, and residual gases using detailed kinetics. This challenge enables the user to understand the correlations for ignition delay (CI) or knock (SI) that consider the effect of pressure, temperature, equivalence ratio, residual gas fraction, fuel composition, etc.
Engine specifications for modeling
Performance and emission prediction
Turbocharging allows automakers to reduce engine size and emissions while continuing to deliver the power and performance consumers demand. Students will be taken across the turbine and compressor mechanics to understand the fluid flow and to improve overall engine performance, reduce pollutant formation, optimize NVH and ensure component durability.
GT-POWER engine models and the validated solution methodologies, can be used by the controls system engineer for ECU development, calibration, and testing to generate a fast running, real-time capable engine plant models. With seamless integration with Simulink and the most popular real-time software tools, controls engineers are empowered with the ability to run fully physical, crank angle resolved models, capable of predicting pressure wave dynamics and in-cylinder combustion in a real-time environment. Advanced control strategies, such as combustion control, can now be tested with a detailed physical engine model at significantly faster computation speeds with minimum effort and maximum accuracy, predictiveness, and fidelity.
The starting point for the development and optimization of exhaust gas after-treatment systems is 1D simulation. GT’s Quasi-steady-state AFT solver offers unmatched modeling depth, simple model setup, and extremely short simulation times – faster than real-time if desired. It solves the very demanding fluid flow, heat transfer, and chemical reactions taking place in after-treatment systems of modern IC engines by employing the most advanced set of physics and chemistry models.
For the detailed 1D & 2D design of exhaust gas after-treatment components, GT-SUITE offers outstanding capabilities modeling all relevant physics and chemistry. This makes it a crucial element in the design, development, and optimization of both diesel and gasoline after-treatment devices. Together with GEM 3D, it forms a unique and dependable 1D/3D solution that can be applied consistently throughout the layout, concept and detailed design stages in both component and system development to provide a seamless development approach with the reuse of models and results among tools assuring maximum consistency and efficiency. The after-treatment system performance data integrated in-vehicle models are used to predict drive cycle emissions.
Every GT license includes full access to a built-in optimizer that allows optimization of any combination of model inputs (factors) to maximize, minimize, or target any single or multiple model outputs (responses). Key features include: Multiple local and global search algorithms to exploring design trade-offs among multiple competing responses and constraints with the multi-objective Pareto optimization tool and the NSGA-III [Genetic search algorithm].
GEM3D is a 3D graphical pre-processor that combines building and importing tools used to create 1D GT-SUITE models from 3D geometries. From primitive components like pipes, flowsplits, etc. it can also be used to import 3D CAD models from other applications, like GT-SPACECLAIM.
Build any hybrid configuration with any level of electrification, including but not limited to: 48-volt mild hybrids with an electric boost, strong power-split hybrid (HEV), parallel through-the road (TTR) plug-in hybrids (PHEV), or battery electric vehicles (BEV) using a comprehensive controls library, including finite state machines in GT-SUITE, or co-simulate with Simulink to develop and optimize control algorithms.
This session gives you a basic understanding of heat transfer in electrical and electronics cooling. The introduction to all the passive and active electronic systems and their considerations in doing simulations are explained. Thermal problems and challenges in electrical and electronics When to do thermal analysis Basics of heat transfer in electronics Analogy - electrical vs. thermal Thermal resistance and capacitance Thermal management at different levels – component/chip/package level, board level, and system level Different components in electronics Process of solving thermal issue using ICEPAK Most influential factors in thermal management of electronics Overview of Ansys ICEPAK (Software introduction)
This session helps you to build thermal models of electronic devices using ICEPAK primitive shapes. Also it provides an introduction to the whole layout of the software platform and helps you get familiar with it.
In this module of the course, you will learn more about meshing the created geometry and the use of different meshing techniques. Upon completion of this module, you will be able to do the following:
In this module, you will learn how to simulate natural convection problems. Also, the effect of cabinet size on the natural convection problem and setup considerations are discussed briefly. Some of the topics covered in this module include:
Basics of natural convections
Basics of buoyancy effect
Design of thermal system for best use of natural convections
Compare design alternatives
In this module, you will learn how to simulate forced convection problems. A brief intro on the fan curve, blade angle, and its impact on cooling due to swirl are discussed. Some of the topics covered in this module include:
Basics of forced convections
Uses of Heat Sink
Understand Heat pipes Modeling and Nested Non-Conformal Meshing
Choose a pump, fan, fluid mover to perform adequate fluid flow rate
Hands-on examples and homework
In this lecture, You will be able to understand the Joule heating effect and the types of heat source profiles that can be provided in ICEPAK. Upon completion of this lecture, you will be able to
Analyze heat generation due to Joule heating in electronic and electrical device
PCB modeling: compact and detailed modeling
Analyze trace heating in PCB in electronics
Perform board-level electrothermal coupling
Hands-on examples and homework
ICEPAK has the capability to import geometries from various CAD softwares, The geometries will be cleaned up and then converted into primitive shapes of ICEPAK based on the requirement and imported. In this module, you will understand
Radiation modelling is an important phenomenon in electronics cooling. The types of radiation models available and the effect of each model are discussed briefly on this module. Upon completing this module, you will be able to comprehend
When to include radiation model (T^4)
Different radiation models in ICEPAK
User input properties and parameters
Solar radiation / flux calculator
Hands-on examples and homework
Understand how to utilize ANSYS ICEPAK to obtain useful post-processing results. You will learn how to get engineering quantities from your CFD simulation, learn to create cut-planes, streamlines, and much more.
In this lecture, you will be able to use ICEPAK to solve some of the advanced and complex problems. The setup procedures to be followed during transient simulations and many advanced methods are discussed briefly.
Analyze transient simulations
Understand zoom-in modeling approach in ICEPAK
Use of advanced methods in projects
Hands-on examples and homework
Macros are used to fast-build ICEPAK models. In this session, you will learn to use some of the macros available in ICEPAK. Productivity macros are useful for model validation and performing routine tasks: automatic meshing, find zero-slack assemblies, copy assembly mesh settings, debug divergence, delete unused materials/parameters, and so on.
In this lecture you will be able to use ICEPAK dynamic-Q optimization method to solve design optimization problems. Such problems occur frequently in engineering applications where time-consuming numerical simulations may be used for function evaluations. By the end of this module, you will be able to comprehend
When to use optimization
Defining design variables and a parametric study in ICEPAK
Setting up & running trials
Define parametric runs and assign primary functions
Function reporting and plotting
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The courses at Skill-Lync are designed to focus on the core fundamentals and their implementation in industry-oriented projects. These courses are designed by industry experts who understand the job market.
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Our courses are crafted after consultation with industry experts and are designed to bridge the gap between academia and industry. The modules that you work have real-world applications and the projects that you work on as part of each module will be a project that is currently being conducted in an OEM, the only difference being the scale of the project.
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. Our course will strengthen your portfolio to get better grants and scholarship opportunities for MS Admits, explore options in Research & Development, and land that much-coveted job in top core companies.
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All of our courses are mapped to specific job functions in the market
Work on projects, publish to your profile and get hired in top companies
In the past 12 months, we have placed 200+ students, helped students get over USD 500,000 in scholarships
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