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

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

The first week of the course introduces you to what exactly OpenFOAM is. OpenFOAM is developed primarily for the LINUX operating system. We will also cover the basics of the Linux operating system for anybody who is not acquainted with Linux. We will be covering in detail on the following topics: 

• Introduction to OpenFOAM 
• Users, Future opportunities
• OS and Version Selection
• Windows Subsystem for Linux
• Basics of Linux
• Test case
• Installing opt and debug modes

The course is targeted towards the development of a CFD solver using OpenFOAM. OpenFOAM is primarily a C++ library. Hence, a good understanding of the basics of C++ is quintessential. In this week, we will cover in detail the following topics:

• Setting up environment: Visual Studio Code
• Namespaces
• Data Structures
• Pointers
• Static and dynamic arrays
• STL - std::array and std::vector
• Declarations and definitions
• Passing by reference/value 
• Function Parameters and overloading

Object Oriented Programming brings a plethora of features to improve usability of any C++ code that you generate. In this week, we will cover:

• OOP – Classes and objects
• Inheritance 
• Smart Pointers – auto, unique, and shared  
• Template programming
• Polymorphism
• Operator overloading
• Abstract classes, Virtual functions

C++ is a high level language that let’s users create independent programs that are easier to interpret than assembly level codes. Here we will delve into the building blocks of it’s code organization by covering the following topics :

• Introduction to parallel programming MPI 
• Make files and Cmake 
• Library and class organization
• Compiling a solver

In this week, we further explore the various dictionaries available in OpenFOAM and try to understand the different C++ concepts used to achieve a particular task. We will be looking into : 

• 5 OpenFOAM Classes : Constructor/Destructor,Overloading,Inheritance & Polymorphism 
• Time dictionary 
• IOObject and objectRegistry
• Fields dictionary 
• Scalars, Vectors, and Tensors
• Implicit & Explicit namespaces (FVM & FVC)

Finite Volume Method (FVM) is one of the most commonly used methods of converting PDE’s to ALE’s. In this week, Upon introducing the basic principles of FVM, we dive deep into the way in which openFOAM handles individual terms of the governing equations. The following concepts are covered in this week:

• General conservation equation
• Navier-Stokes equations 
• Gauss Divergence Theorem 
• Discretization of the source term
• Discretization of the convective term 
• Upwind
• Linear Upwind
• Flux Limiter (TVD)
• Stability criterion – CFL condition 

FVM in openFOAM is implemented in 3 parts. 1) Surface interpolation 2) fvc and 3) fvm using the mentioned finite volume techniques covered in the previous week. In this week, we will look into the multiple algorithmic choices of gradient operators and discretization schemes that can be employed by covering the following topics :

• Gradient schemes
• Green-Gauss Cell Based
• Green- Gauss Node Based
• Discretization of the diffusion term 
• Laplacian schemes
• Non orthogonal meshes and solution
• N-S Equations revisited
• Collocated vs Staggered grids
• SIMPLE algorithm 

If we consider the discretized form of the Navier-Stokes system, the form of the equations shows linear dependence of velocity on pressure and vice-versa. This inter-equation coupling is called velocity pressure coupling and often calls for a special treatment in order to decouple the terms. This week, we will look at some of the standard techniques used in CFD to achieve the same. Topics include :

• SIMPLE algorithm - Need for Under Relaxation 
• SIMPLEC algorithm - Consistent SIMPLE
• PISO algorithm 
• PIMPLE algorithm

Linear systems in numerical methods often reduce to a sparse system (matrix having many zero elements) which can be computationally expensive to solve using standard algebraic methods. This week we will look into the working of some of the linear solvers used in openFOAM. Topics include : 

• Non-orthogonal correctors

• From mesh to matrix 

• Linear solvers 

• Jacobi

• Gauss Seidel

• Newton-Kyrlov family 

• Preconditioners 

• Smoothers 

• Solver tolerances

The concept of turbulence is something that has not been understood vividly till date although turbulent flows are commonplace in most real life scenarios. Considered as the cornerstone of fluid dynamics, Turbulence modeling is the construction and use of a mathematical model to predict the effects of turbulence. This week, we will look into the basic types of turbulence models used in CFD.  

• Basics of turbulence 
• RANS averaging 
• The k-epsilon model
• The k-omega model 

This week is an extension of the concepts covered in the previous week where different turbulence models are weighed in against each other for specific applications. This week we further our understanding of the boundary layer theory by introducing ‘Wall functions’ which  are used to bridge the inner region between the wall and the fully developed turbulent layer to customizing a user defined turbulence model. Topics include :

• The k-omega SST model 
• Wall modelling and wall functions
• Creating a turbulence model

Time discretization is a mathematical technique applied to transient problems which require solutions in which position varies as a function of time. Temporal discretization involves the integration of every term in different equations over a time step (Δt). Topics include :

• Discretization of the time term 
• Forward and backward Euler 
• Crank-Nicholson 
• Function Objects 
• Latex for Report Writing 

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.

• Methods of providing local refinement like a sphere of influence, body sizing, etc.
• Concept of Y plus and its importance
• Inflation layers and controls
• Mesh dependence test

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

• Extracting solid and fluid volumes
• Creating shared topologies for creating conformal meshes
• Setting up volumetric heat sources
• Visualizing heat transfer coefficient distribution

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.

This week will take you through the basic theory on Fluid Mechanics and FLUID dynamics. We will cover the basic fundamental properties that are used to describe a fluid flow along with general CFD methods

• Types of fluid properties
• Newtonian and Non Newtonian fluids
• Description of fluid flows
• Overview of CFD methods

Aerodynamics plays a very important role while designing a particular product which is exposed to environments that will affect its purpose. In this video, you will learn

• Role of aerodynamics in design
• Parameters of focus
• Instruments used in aircraft
• Similarity parameters
• Aerodynamic forces and moments

The properties of the atmosphere vary from one place to another. This resulted in the comparison of aircraft performance in different parts of the world to not be realistic. Hence, a common decision was made to create an “International Standard Atmosphere” for comparison purposes. In this video, you will learn

• What exactly ISA is
• How to calculate the properties according to height.

The quality of the mesh and the elements you use determines the accuracy of the result that you obtain. Using ICEM CFD, you will be introduced to steps to create a suitable domain for a helicopter fuselage. The domain will be meshed with tetrahedral and prism elements. Quality parameters to assess your mesh will also be introduced to you. In this video, you will 

• Be introduced to ICEM CFD
• Understand the steps to setup your domain in ICEM CFD
• Generate a mesh for your geometry
• Assess the quality of the mesh

You can find airfoils in many aerodynamic applications. If you can’t find it, then you would probably have to take a cross sectional view to properly visualize it. For example, the cross section of an airplane wing is in the shape of an airfoil. The airfoil shape helps in generating the necessary forces to help the airplane fly. In this video, you will

• Be introduced to what an airfoil is
• Understand the forces acting on an airfoil
• Use ICEM CFD to generate the domain required to analyse the flow over an airfoil
• Generate the mesh for two cases
• Incompressible flow over airfoil
• Compressible flow over airfoil
• Assess the quality of the mesh

You would have visually experienced turbulent flow of a fluid by simply opening the tap in your kitchen. The fluid flow will follow an unruly nature once you increase the flow. This is a simple example. Turbulent flows can have negative effects on your product when it flows through air. If you take the example of your car, having highly turbulent flow in certain regions can lead to sources of noise generation and can also affect the performance of your car. Through CFD simulations, it has been made possible to capture this turbulent phenomena to better design your product. In this video, you will

• Be introduced to what exactly turbulence is
• Learn why it is important
• Understand how to model turbulent flows
• Understand the turbulence models available in commercial CFD packages.

Using the mesh created in the previous week, you will be taken through how to setup a simulation to analyse the aerodynamic forces on a NACA0012 airfoil. In this video, you will ,

• Learn how to setup your simulation for analysing aerodynamic forces on an airfoil
• Analyse the results for various angles of attack

There can be two types of motion in fluid flow problems. One is rectilinear and the other one is rotary. Till now, we spoke about rectilinear motion. In order to simulate rotary motion, you need a different approach. In this video, you will 

• Learn about moving zones
• Approaches to model moving zones
• Moving reference frame
• Moving mesh

Types of mesh encountered at interfaces

Run a simulation to understand moving zones

From the two approaches discussed in the previous video, we will use a turbomachinery model to compare the application of both methods and compare the results. In this video, you will

• Use a turbomachinery component to compare MRF and MM approach
• Setup the simulation with appropriate parameters
• Analyse the results

An air compressor is a common turbomachinery component with a large number of moving parts. It is quite difficult to model the entire component. Hence, we will take a sector of the component and apply a periodic boundary condition to the geometry. We will use the FLUENT Console to employ periodic zones in the simulation. In this video, you will

• Work on a sector a large air compressor
• Setup periodic zones in FLUENT console
• Setup the simulation to analyse the turbomachinery component
• Analyse the results

Noise is generated by an aerodynamic body when it is moving through air. The shape of the body determines the sources that generate this noise. For a car, the mirrors, gaps between the wheels etc are regions of noise generation. Manufacturers use CAA( Computational Aero-Acoustics) to study such sources and minimise the discomfort caused by it to the customer. In this video, you will

• Learn about acoustics
• Learn about acoustic analogy methods
• CAA methodologies

The broadband acoustic solver is one of the CAA methodologies mentioned in the previous section. In this video, we will use the broadband solver to analyse the noise sources over an Ahmed Body. An Ahmed body is a simplified car body that was developed in 1984. This model is used for validation purposes. In this video, you will

• Use ANSYS Mesher to generate the mesh for your domain
• Setup a symmetric model in FLUENT
• Run the acoustic solver to analyse noise sources

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.

In this module, you will learn how to import your CAD designs into CONVERGE Studio for performing flow analyses. The CAD geometry contains information on what the model is supposed to look like. You will work on fixing any errors, if present, and then split the geometry into boundaries so as to set up the simulation. This involves, but is not limited to:

• CAD import and cleanup
• Splitting the model into boundaries and flagging these boundaries

In this module, you will learn about

• Creating Virtual Wind Tunnel
• Setting the boundary conditions effectively
• How to choose the right turbulence model? K-Epsilon Vs. K-Omega SST
• Understanding Y+ and choosing suitable grid sizes for our simulation
  

A student of Aerodynamics needs to familiarize themselves with how different concepts in physics are captured by mathematical models. Without this understanding, an engineer will not be capable of setting up an external flow simulation with accuracy. We will cover the following modules under physical modelling:

• Turbulence Modelling
• Conjugate Heat Transfer
• Shock Capturing

The main reason for performing an aerodynamic simulation is to extract vital information from the solution like the drag and lift on specific boundaries.

• Understanding the wake and the effect this will have on the aerodynamic parameters
• Extracting information such as drag and lift force from Converge CFD

• CAD import and cleanup
• Decomposing the model into boundaries and volumetric regions
• Inputting valve timing
• Choosing turbulence and combustion models
• Running the case in a parallel environment
• Post-processing

In this module, we will elaborate on surface preparation in complete detail. Here you will learn the following:

• Setting up the moving boundaries
• Geometry cleanup

• Initializing pressure, temperature and species concentration in different flow regions
• Disconnect triangles
• While setting up the case, one will come across complex problems where there will be different zones where the value for any thermodynamic properties like Pressure or temperature will be different and set up the case accordingly, CONVERGE provides a very good feature of creating a region (volumetric region) in which there will be particular value for the pressure, a temperature that user will provide according to his needs.
• A very good example of the application of regions and initialization is a SHOCK TUBE problem in which there are 2 chambers filled with fluid, one at high pressure and other at low pressure and these 2 regions are separated with the help of the diaphragm. Now to set up such cases, a feature of Regions and Initialization seems to be really important and useful.
• After creating 2 regions, we need to provide initial values to both regions accordingly and this is how students will learn to create volumetric regions.

In this module, students will learn how turbulence is modelled 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.

• Here, students will learn about the RANS approach to model turbulence.
• You will get to appreciate the mathematics involved behind RANS and will learn the derivation part as well.
• You will learn various turbulence models available like (RNG k-ε, k-ω SST etc) and understand which model is suitable for which application.
• Mostly, RNG k-ε suits best for Internal flows and k-ω SST suits best for external flows.

In this module, you will learn how Cavitation can be simulated. We will be focussing on the Volume of Fluid Method (VOF). You will also learn about VOID FRACTION which is the basis of the VOF method.

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.

• Need of a 1D thermodynamic simulation tool
• Overview of GT-POWER, GT valve train, GT cool, GT drive, etc.
• Introduction to GUI
• Templates and libraries
• Representation of engine parts
• Implicit vs Explicit approach
• Navier Stoke equation relevance

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.

• Challenges in SI engine modeling
• Combustion modeling approach
• Port injection and gasoline direct injection approach
• Tumble modeling
• Gas exchange modeling and analysis

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.

• Engine specifications for modeling
• Performance and emission prediction

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.  

• Challenges in CI engine modeling
• DI pulse Combustion modeling approach
• Swirl modeling
• Turbocharger modeling

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. 

• Fixed geometry TC modeling
  
• Wastegate TC modeling
• Variable geometry turbine modeling
• Two-stage turbocharger modeling
• Supercharger modeling
• eTurbo modeling

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.

• Introduction to FRM builder
• Modeling of various engines using FRM builder approach
• Crank-angle resolved, physically conservative formulation for accurate results
• Built-in DOE and neural network trainer for MV model development

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. 

• Introduction to chemical kinetics
• Modeling precious metal catalysts
• Pre-defined test cases and scenarios

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.

• Modeling 3-way cat con
• Modeling DOC
• Modeling DPF
• Modeling SCR

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].

• Design of experiments
• Single-factor optimization
• Multi-objective optimization
• Case study on gas exchange optimization

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.

• Introduction to SPACECLAIM
• Overview of GEM 3D
• Discretizing intake manifold
• Discretizing exhaust manifold

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.

• Overview of hybrid system configuration
• Modeling of P0 and P1 configuration
• Built-in optimization and DOE tools to evaluate architectures, components, and control strategies

In this video we will touch upon the topic- What is a Hybrid Electric Vehicle?. It is vital that a student have knowledge on this topic before proceeding on with the course. In this video we will be covering-

● Introduction to BEVs

● Requirement of HEVs

● Classification of HEVs

○ Classification based on powertrain

○ Classification based on degree of hybridisation

Once we have a fair understanding of what a HEV is, we will move on to BEVs or Battery Electric Vehicles. Since most HEVs have a battery powertrain, it is vital that a student familiarises this topic. In this video we will be covering-

● What are BEVs?

● Degree of hybridisation

● Components of BEVs

● What are batteries?

● Construction and Working of Lithium ion batteries

There are many classifications of HEVs. Since, the classification based on Powertrain is the most widely used, we will be covering it in depth.

● What is a powertrain?

● Classification of HEV based on powertrain.

● Explanation of Series HEV

● Explanation of Parallel HEV

● Explanation of Series-Parallel HEV

The course is oriented towards “Simulation” of an HEV model. Most of us know what a 3D or 2D model/ simulation is. But,  GT-SUITE is primarily a 1D modelling/simulation software suite. So, in this video, we will be having a discussion on the many types of simulation and the specifics behind it. We will be covering-

● What is modeling? What is the importance of modeling?

● What is simulation?

● Importance and examples of simulation

● Types of simulation

● What is the Navier-Stoke equation and how does  GT-SUITE solve it?

In this session, we will be showing you how to open  GT-SUITE and explain the various features of the software. We will be covering-

● What are the applications of  GT-SUITE?

● Softwares provided in  GT-SUITE

● Resources available in  GT-SUITE

● Templates. Models, and Examples in GT-SUITE,

During this week, we will be importing an HEV model in  GT-SUITE and explain the templates used in the model. 

● The basic theory behind IC engines and electric motors. 

● How to import a P0P4 model into  GT-SUITE

● What are the various templates used in the P0P4 model?

● What are the parameters used to define the templates?

● Changing of the vehicle drive cycle.

● Case setup

This is the final chapter of the course. Here, we will take a look at the results we have obtained from the simulation.  In this chapter, we will be covering-

● Modifications that can be done in case setup

● “Maximum Simulation Duration Time” option

●  GT-SUITE GUI

● How to access simulation graphs and results

● Report generation

● How to study and correlate simulation graphs.

● Vehicle state and supervisory controls.

• Introduction to ANSA,
• ANSA GUI,
• Geometric Tools and Topology cleanup
• Different Tools used in TOPO deck

• PID creation and PID assignment,
• Different selection techniques and visibility tools,
• Basic Topology cleanup
• Basic tools used in Surface mesh

• Advanced Topology cleanup to define volumes.
• Variable Surface meshing part by part 
• Solving quality failed elements as per Quality criteria
• Symmetry operation for surface and mesh elements
• Wind Tunnel Creation 
• CFD Meshing for Wind tunnel

In this module you will be introduced to three different automotive models: Engine, Transmission, Gearbox. You will get to know how to perform Surface wrap to an automotive assembly for outer flow CFD Analysis. The topics covered in this module are, 

• Geometry cleanups for surface wrap.
• Merging of different models in one GUI.
• Surface wrapping for an Assembly.