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    Post Graduate Program in Computational Fluid Dynamics

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    Lavel

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    Duration

    2 Months

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study
    Mode of Delivery Video and Text Based

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    Skill Lync

    The syllabus

    Course 1: MATLAB for Mechanical Engineers

    Week 1 - Introduction to MATLAB
    • MATLAB syntax and commands 
    • Methods and ways to use commands in different scenarios
    • Manipulation of calculations and comparisons
    • Use of arrays.
    • Functions (plotting, creating animations, creating figures, and more)
    Week 2 - Forward Kinematics Simulator
    • Manipulator motion using ImageMagick
    • Simulation of a 2R robotic arm manipulator
    • Creating a movie clip with the spatial motions of a robotic arm
    • ‘For’ loop in programming
    • Working of the “hold on” command
    • Arrays and linspace commands
    Week 3 - Air Standard Cycle Simulator
    • Solving piston kinematics equation to calculate volume trace
    • PV diagrams for different operating conditions.
    • Thermodynamic relationships
    • Pressure-volume variations
    • Order of the program
    • Plots & legends used in the graphs
    • Piston kinematics
    Week 4 - Vibrations and Dynamics
    • Backward difference formula (BDF) and forward difference formula (FDF) methods to solve ODEs
    • Real use of differential equations
    • How differential equations relate to real-world applications
    • Solving differential equations
    • ODE solvers, syntax of ODEs, and various supplementary commands
    Week 5 - Curve Fitting and Regression
    • Polynomials and their best fits
    • PolyFit and PolyVal commands
    • Calculating errors
    • Sum of squares regression (SSR)
    • Sum of squares error (SSE)
    • Sum of squares total (SST)
    Week 6 - Genetic Algorithm
    • Optimization techniques 
    • Working of the genetic algorithm
    • Genetic algorithm syntax and finding the global maxima
    • Stalagmite functions and how it works
    • Population size, number of generations, fitness value, and termination of further generations

    Course 2: Introduction to CFD using MATLAB and OpenFOAM

    Week 01-What is Computational Fluid Dynamics?
    • In this module, you will understand the basics and significance of CFD.
    • You will also learn what the Navier-Stokes equations are and how they are derived.
    • The following topics are covered this week. 
      • CFD - An Introduction, Necessity, Advantages, and CFD Modeling Process 
      • Deriving and understanding the Navier Stokes equations
        • Substantial Derivative
        • Continuity Equation
        • Momentum Equation
        • Energy Equation
        • Significance of the Reynolds number in the NS equations
    Week 02-Mathemathics and Fluid Dynamics Essentials
    • In this module, you will be writing solvers and introduced to different numerical methods.
    • The following topics are covered this week.
      • 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
    Week 03-Introduction 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
    Week 04-Exploring CFD by Solving Standard CFD Problems using FDM
    • In this module, you will venture into the Finite Difference Approach to discretization and solve various benchmark CFD problems in MATLAB.
      • Solving coupled linear systems using iterative solvers
        • Jacobi
        • Gauss-Seidel
        • SOR
    Week 05-Introduction to FVM and OpenFOAM
    • In this module, 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 organisation and case setup
      • Detailed blockMeshDict tutorial
    Week 06-Solving Standard CFD Problems in OpenFOAM
    • In this module, you will be using OpenFOAM for exploring and simulating a wide variety of problems.
    • You will also create a platform that will enable you to start any simulation from scratch and establish confidence in your result.

    Course 3: Introduction to GUI based CFD using ANSYS Fluent

    Week 01 - Introduction to CFD
    • In this module, you will understand what CFD is 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
    Week 02 - Simulating Laminar and Turbulent Flows in ANSYS Fluent
    • 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 get hands-on experience in
      • Geometry Creation
      • Meshing
      • Boundary and Initial Condition Calculation
      • Setting up solution algorithms
      • Solving and post-processing
    Week 03 - Performing Steady State Simulations
    • In this module, the focus is to simulate basic compressible and incompressible steady-state simulations. This provides you with an introduction to the solution setup procedure for a steady-state simulation. You will get hands-on experience in
      • Geometry created using SpaceClaim
      • How to set up 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 Parametric Study on Flow Inside a Gate Valve
      • Project 3: Performance Characterization of a Cyclone Separator
    Week 04 - Exploring Meshing strategies
    • 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. More hands-on experience in
      • Methods of providing local refinement like Sphere of Influence, Body Sizing, etc.
      • Concept of Y plus and its importance
      • Inflation Layers and Controls
      • Mesh Dependence Test
    Week 05 - External Aerodynamics
    • Setting up Virtual Wind Tunnels using the Enclosure Utility
    • Understand Vortices, calculating Downforce & the drag on a Vehicle
    • Y+ Estimation & Grid Refinement
    Week 06 - Conjugate Heat Transfer
    • 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
    Week 07 - Discrete Phase Modelling
    • Different types of discrete phase boundary conditions and their effects
    • Methods of tracking the Discrete Phase Particles
    • Turbulence Intensity and Vortex Core Visualisation
    Week 08 - Introduction to User Defined Functions
    • You will learn how to write a customized program, create different monitor points, and extract the relevant information you need to form a simulation.
    Week 09 - Basic Reacting Flows
    • In this module, you will learn how to simulate reacting flows using ANSYS Fluent. This includes combustion applications.

    Course 4: Advanced CFD Meshing using ANSA

    Week 01-Introduction to ANSA GUI and Tools
    • In this module, you will be introduced to the ANSA Software. You will learn the Graphical User Interface(GUI) of the ANSA tool.
    • You will get to know about different solvers and the types of analysis carried out using them.
    • You will be introduced to the basic tools that will help you with geometric cleanups and other deck setups in ANSA.
    • The topics covered in this module are,
      • Introduction to ANSA
      • ANSA GUI
      • Geometric tools and topology cleanup
      • Different tools used in the TOPO deck
    Week 02-2D (Surface) Meshing to Pressure valve
    • In this module, you will be introduced to the pressure valve model. You will learn to perform surface meshing on a pressure valve model.
    • The topics covered in this module are,
      • PID creation and PID assignment
      • Different selection techniques and visibility tools
      • Basic Topology cleanup
      • Basic tools used in surface meshing
    Week 03-3D (Volume) Meshing to Turbocharger
    • In this module, you will be introduced to the turbocharger model.
    • You will get to know, how to perform volumetric meshing to a turbocharger model.
    • The topics covered in this module are,
      • Geometry cleanup to define volumes
      • Various geometry checks
      • Surface meshing as per quality criteria
      • Volumetric meshing as per requirements
    Week04- CFD meshing to BMW M6 Model inside Wind tunnel
    • In this module, you will be introduced to the BMW M6 model.
    • You will learn how to perform CFD meshing on a BMW M6 model.
    • The topics covered in this module are,
      • 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
    Week 05-Surface Wrap to an Automotive Assembly
    • In this module, you will be introduced to three different automotive models: engine, transmission, and gearbox.
    • You will learn how to perform surface wrap on an automotive assembly for CFD analysis of the outer flow.
    • The topics covered in this module are,
      • Geometry cleanups for the surface wrap.
      • Merging of different models into one GUI.
      • Surface wrapping for an assembly.

    Course 5: IC Engine Calibration using GT-POWER and GT-SUITE

    Week 1-Introduction to GT-POWER and GT-SUITE
    • 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
    Week 2-SI Engine Modelling Techniques
    • Over the past decade, there has been an increase in air pollution all around the globe, as well as a recognition that fossil fuels will not be available forever. This has inspired OEMs to develop electrified powertrains. But, this has also opened the door to investigating 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 modelling
      • Combustion modelling approach
      • Port injection and gasoline direct injection approach
      • Tumble modelling
      • Gas exchange modelling and analysis
    Week 3-Case Study on SI Engine
    • Virtual prototyping is an efficient and effective way to test new ideas.
    • In this module, you will look into some aspects of the 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, and precise heat transfer modeling.
      • Engine specifications for modelling
      • Prediction of performance and emissions
    Week 4-CI Engine Modelling Techniques
    • Understanding the mechanics of modelling 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 Modelling
      • DI Pulse Combustion Modelling Approach
      • Swirl Modelling
      • Turbocharger Modelling
    Week 5-Case Study on CI Engine
    • To further our understanding by modelling 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 modelling
      • Performance and emission prediction
    Week 6-Turbocharger and Supercharger Modelling
    • 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, optimise NVH and ensure component durability.
      • Fixed geometry TC modelling
      • Wastegate TC modelling
      • Variable geometry turbine modelling
      • Two stage turbocharger modelling
      • Supercharger modelling
      • eTurbo modelling
    Week 7-Case Study on FRM Builder
    • GT-POWER engine models and their 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 model.
    • With seamless integration to 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
    Week 8-Aftertreatment Modelling Techniques
    • The starting point for the development and optimisation of exhaust gas aftertreatment systems is 1D simulation.
    • GT’s Quasi-steady state AFT solver offers unmatched modelling 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 the aftertreatment systems of modern IC engines by employing the most advanced set of physics and chemistry models.
      • An introduction to chemical kinetics
      • Modelling of precious metal catalysts
      • Pre-defined test cases and scenarios
    Week 9-Case Study on 3-way Cat DOC DPF and SCR System
    • For the detailed 1D and 2D design of exhaust gas after-treatment components, GT-SUITE offers outstanding capabilities for modelling 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 into in-vehicle models is used to predict drive cycle emissions.
      • Modelling 3-way cat con
      • Modelling DOC
      • Modelling DPF
      • Modelling SCR
    Week 10-Optimization Techniques
    • 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 explore 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
    Week 11-Discretization Techniques
    • 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
    Week 12-Hybrid Engine Modelling
    • 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 hybrids (HEV), parallel through-the road (TTR) plug-in hybrids (PHEV), or battery electric vehicles (BEV) using a comprehensive control library, including finite state machines in GT-SUITE, or co-simulate with Simulink to develop and optimise control algorithms.
      • Overview of hybrid system configuration
      • Modeling of P0 and P1 configurations
      • Built-in optimization and DOE tools to evaluate architectures, components, and control strategies.

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