Training Courses on Computational Fluid Dynamics (CFD)
Computational fluid dynamics is an advanced simulation tool which is used for predicting and improving the fluid flow phenomenon of a system or a process. There is a huge requirement for CFD analysts in all the Industry verticals and it is now considered as an indispensable analysis/design tool in an ever-increasing range of industrial applications. Our courses have been designed by experienced professionals to give students best amalgamation of fundamental concepts and industry application.
Key Features
- Experienced Faculty from Industry
- Advanced courses for students, professionals & research scholars
- Internship Opportunities post training for exceptional candidates
- Domain specific Case studies (Aero, Auto, HVAC, Electronics Etc.)
- Detailed Course Material
- Weekdays & Weekend Batches
- Offline & Online Courses
- Project Based course work
Courses
Theory course on Computational Fluid dynamics
Theoretical course in CFD gives an in depth understanding of the fluid flow and heat transfer phenomenon, advanced numerical methods & solvers, CFD techniques & applications, turbulence modeling and programming for CFD. It is intended for the participant who wish to pursue advanced studies or research in CFD.
Course Outline
- Review of Fluid Mechanics and Heat transfer
- Fundamentals of CFD.
- Applied Numerical Methods
- CFD Techniques
- CFD programming
- Turbulence Modeling
Benefits
Upon the completion of the course, the candidate will get familiarity with the differential equations for flow phenomena and numerical methods. The knowledge of the CFD equations and algorithms for their solution will aid in developing user defined function (UDF) code for highly complex problems.
Target Industry
Automotive, Aerospace, Electronics, Oil & Gas, Chemical, Heavy industry & Defence.
Course Contents
Theory
- Review of Fluid mechanics; Steady & Transient Flows, Newtonian & Non Newtonian Flows
- Laminar & Turbulent Flows, Compressible & incompressible Flows
- Introduction to CFD and its applications
- Review of basic Numerical methods
- Derivation of Flow Governing Equations
- Classification of partial differential equations, Mathematical behavior of hyperbolic, parabolic and elliptic equations
- Initial and boundary conditions, well posedness
- Discretization of equations using Finite Difference, Finite volume and Finite Element method
- Concepts of consistency, stability and convergence
- Solution of discretized linear algebraic equations - Direct methods and iterative methods
- Pressure- velocity coupling algorithms
- Simple CFD Techniques - Lax - Wendroff Technique and MacCormack’s Technique, Solutions of coupled equations - methods of compressible flows
- Applications
- Numerical solutions of Quasi 1 D Nozzle Flows
- Numerical solutions of 2D supersonic Flow - Prandtl - Meyer Expansion wave
- Incompressible Couette Flow - Numerical Solutions by means of an Implicit Method and the Pressure Correction Method
- Introduction of Turbulence modeling
- Role of walls, wall functions, Prandtl’s mixing length theory and eddy viscosity
- Reynolds averaged Navier Stokes equations and closure problem
- Turbulence models - spalart allmaras, k-epsilon, k-omega, LES, DNS
- Y+ wall functions
- Grid generations - Introduction to structured, unstructured and Cartesian meshes
- Programming in C / MATLAB
- User Defined Functions
Project
After course work, student will be assigned an industry oriented project. Upon successful completion and report submission of project, certificate will be issued.
Who Should Attend:
Mechanical, Aeronautical, Automobile, Civil & Chemical Engineering Students, Professionals who are looking for a career in the field of CFD.
Basic course on Computational Fluid Dynamics
The Fluid Dynamics/ CFD course takes you step-by-step from theory to practical application, teaching you the workflow and best practices for different flow simulation types. It helps in understanding of basic concepts of CFD, fluid flow and heat transfer phenomenon along with numerical methods, CFD techniques and practical case studies using simulation software. This course helps the participant harness CFD skills that are useful to the industry and higher education.
Course Outline
- Review of Fluid mechanics and Heat transfer
- Fundamentals of Computational Fluid Dynamics
- Basic Numerical Methods & Grid generation Techniques
- CFD applications
- Post-Processing techniques
- Basic Fluid Flow Simulations
Benefits
Upon the completion of the course, the candidate will be able to develop and model flow simulation in engineering and sciences such as simulation of airfoil, flow past an automobile, simulation of an engine, mixing of fluids, wind load simulation of buildings, HVAC systems, electronic cooling and many more.
Target Industry
Automotive, Aerospace, HVAC, Electronics, Oil & Gas, Chemical, Heavy industry & Defence
Course Contents
Theory
- Basic Engineering Mathematics
- Introduction to the concepts of Fluid mechanics & Heat transfer
- Governing Equations of Fluid Dynamics
- Numerical Methods
- Basics of CFD
- CFD Methodology
Software
- Introduction to Pre-processing, solving and Post processing
- Introduction to simulation software, GUI
- 2D sketching and 3D modeling
- Geometry - import/export, creation, simplification, cleaning & fluid domain creation
- Basic of meshing, mesh types and mesh quality
- Advanced meshing, advanced size function, global and local size controls
- Flow setup
- Introduction to boundary conditions and flow initialization
- Solver settings
- Turbulence modeling
- Heat transfer modeling
- Solving transient flow problems
- Post processing techniques, results extraction and report preparation
Case Studies
- Mixing of flows
- External flow analysis - Airfoil
- Transient compressible flow -Nozzle
- Heat exchanger analysis
- Natural convection of a flat plate & electronic Cooling case
- Porous media analysis of catalytic converter
- Dynamic analysis of a valve
- Multiphase modeling - Analysis of a printer nozzle
- Post processing techniques, results extraction and report preparation
Project:
After course work, student will be assigned an industry oriented project. Upon successful completion and report submission of project, certificate will be issued.
Who Should Attend:
Mechanical, Aeronautical, Automobile, Civil & Chemical Engineering Students, Professionals who are looking for a career in the field of CFD.
Comprehensive Course on CFD
Comprehensive course in CFD gives a real time experience and deep understanding of the fluid flow and heat transfer phenomenon, advanced numerical methods & solvers, CFD techniques & applications, conjugate heat transfer, fluid structure interaction (FSI), multiphase flows, turbulence modelling, programming for CFD and practical case studies using simulation software. It is intended for the participant who wish to pursue advanced studies or research in CFD.
Course Outline
- Fundamentals of Computational Fluid Dynamics
- Applied Numerical Methods
- CFD Techniques
- Matlab / C Coding
- Turbulence Modelling
- Introduction to CFD Meshing and Meshing Techniques
- Applications of CFD using commercial software
- Post-Processing techniques
Benefits
Upon the completion of the course, the candidate will be able to undertake complex flow computations in a wide variety of disciplines and industries including aerospace, automotive, electronics, power generation, chemical industry, defence etc... The familiarity with the differential equations for flow phenomena and numerical methods for their solution will aid in developing user defined function (UDF) code for highly complex problems.
Target Industry
Automotive, Aerospace, Electronics, Oil & Gas, Chemical, Heavy industry & Defence
Course Contents
Theory
- Review of Fluid mechanics; Steady & Transient Flows, Newtonian & Non Newtonian Flows
- Laminar & Turbulent Flows, Compressible & incompressible Flows
- Introduction to CFD and its applications
- Review of basic Numerical methods
- Derivation of Flow Governing Equations
- Classification of partial differential equations, Mathematical behaviour of hyperbolic, parabolic and elliptic equations
- Initial and boundary conditions, well posedness
- Discretization of equations using Finite Difference, Finite volume and Finite Element method
- Concepts of consistency, stability and convergence
- Solution of discretized linear algebraic equations - Direct methods and iterative methods
- Pressure- velocity coupling algorithms
- Simple CFD Techniques - Lax - Wendroff Technique and MacCormack’s Technique, Solutions of coupled equations - methods of compressible flows
- Applications
- Numerical solutions of Quasi 1 D Nozzle Flows
- Numerical solutions of 2D supersonic Flow - Prandtl - Meyer Expansion wave
- Incompressible Couette Flow - Numerical Solutions by means of an Implicit Method and the Pressure Correction Method
- Introduction of Turbulence modelling
- Role of walls, wall functions, Prandtl’s mixing length theory and eddy viscosity
- Reynolds averaged Navier Stokes equations and closure problem
- Turbulence models - spalart allmaras, k-epsilon, k-omega, LES, DNS
- Y+ wall functions
- Grid generations - Introduction to structured, unstructured and Cartesian meshes
Software
- Programming in C / MATLAB
- Introduction to Pre-processing, solving and Post processing
- Introduction to simulation software, GUI
- 2D sketching and 3D modelling
- Geometry - import/export, creation, simplification, cleaning & fluid domain creation
- Basic of meshing, mesh types and mesh quality
- Advanced meshing, advanced size function, global and local size controls
- Flow setup
- Introduction to boundary conditions and flow initialization
- Solver settings
- Turbulence modelling
- Heat transfer modelling
- Introduction to dynamic meshing - smoothing, re-meshing, layering techniques; 6 DOF solver
- User Defined Functions
- Solving transient flow problems
- Post processing techniques, results extraction and report preparation
Case Studies
- Mixing of flows
- External compressible flow (Airfoil) and transient compressible flow (Nozzle) cases
- Heat exchanger analysis
- Electronic Cooling case - natural and forced convection cases
- Porous media analysis of catalytic converter
- Dynamic analysis of a valve
- Multiphase modelling - Analysis of a printer nozzle
- Multiple reference frame case - centrifugal blower
- Mixing plane model - axial fan with rotor in front and stator (vanes) in the rear
- Sliding meshes - single stage axial compressor comprised of two blade rows
- Modelling species transport and gaseous combustion
Project:
After course work, student will be assigned an industry oriented project. Upon successful completion and report submission of project, certificate will be issued.
Who Should Attend:
Mechanical, Aeronautical, Automobile, Civil & Chemical Engineering Students, Professionals who are looking for a career in the field of CFD.
Advanced Course on Electronic Cooling
Electronic cooling is a specialized course that deals with the thermal management of electronics. The performance of the electronic devices is heavily dependent on their ability to dissipate heat. This course will cover all the aspects needed for effective design of electronics that are thermally balanced. A basic understanding of fluid flow and heat transfer circuit of electronics, fundamental concepts of CFD along with numerical methods and practical case studies using simulation software are covered in this course. This course helps the participant harness CFD skills that are useful to the industry.
Course Outline
- Basics of electronic cooling
- Cooling techniques for electronic components
- Designing the electronic chassis
- Fundamentals of computational fluid dynamics and heat transfer
- Basic numerical methods
- CFD Techniques
- Design of heat sink
- Special applications for Tough cooling jobs
- Grid generation techniques
- Electronic cooling case studies using commercial software
Benefits
The candidate will be able to set up and solve cases related to electronic cooling. A right blend of theoretical aspects of heat transfer and fluid flow along with simulation tool makes the candidate ready for Industry. A quality assessment of the results is taught during the course to ensure that a proper investigation of the model is done. Optimization techniques with respect to the tool helps in best design of the electronic equipment.
Target Industry
Automotive, aerospace, Consumer Electronics, medical, power & Defence
Course Contents
Theory
- Importance of Heat transfer in electronics
- Temperature dependant failures
- Heat transfer mechanisms
- Thermal resistance network
- Thermal specification of microelectronic packages
- Heat conduction equation
- Evaluating the cooling requirements & cooling techniques for electronic components
- Designing the electronic chassis - conduction cooling for chassis and chassis boards
- Fundamentals of convection & radiation heat transfer
- Guidelines for Natural convection and radiation cooling
- Fin and design of heat sinks
- Forced air cooling for electronics
- Special applications for Tough cooling jobs - heat pipes, liquid cooling and thermoelectric coolers
- Effective cooling for large racks and cabinets
- Computer simulations and thermal design
- Transient cooling for Electronic systems
- Derivation of Flow Governing Equations
- Discretization of equations using Finite Difference and Finite volume method
- Concepts of consistency, stability and convergence
- Solution of discretized linear algebraic equations - Direct methods and iterative methods
- Pressure- velocity coupling algorithms - SIMPLE, SIMPLE - C, SIMPLE - R etc...
- CFD methodology
- Introduction of Turbulence modelling
- Role of walls, wall functions, Prandtl’s mixing length theory and eddy viscosity
- Reynolds averaged Navier Stokes equations and closure problem
- Turbulence models - spalart allmaras, k-epsilon, k-omega, LES, DNS
- Grid generations - Introduction to structured, unstructured and Cartesian meshes
Software
- Introduction to electronic cooling software
- Geometry - import/export, creation and simplification
- Model Building using primitives
- Basic of meshing, mesh types and mesh quality; conformal and non-conformal meshing
- Boundary condition definition and specification
- Solver setup and parallel computation setup
- Transient simulation
- Parametric and optimization
- Usage of macros
- Post processing techniques, results extraction and report preparation
Case Studies
- Modelling and analysis of a finned heat sink
- Thermal management of RF amplifier
- Forced convection cooling analysis of IC chips on PCB using fan
- Heat pipe and heat sink thermal analysis
- Loss coefficients for hexa grills
- Thermal analysis and comparison of inline and staggered heat sinks
- Thermal analysis on minimizing the thermal resistance
- Radiation modelling of a source with heat sink on PCB board
- Transient simulation of a heat sink cooled by natural convection and heated by four heat sources
Project:
After course work, student will be assigned an industry oriented project. Upon successful completion and report submission of project, certificate will be issued.
Who Should Attend:
Mechanical, Aeronautical, Automobile, Civil & Chemical Engineering Students, Professionals who are looking for a career in the field of CFD.