CFD Training, Computational Fluid Dynamics
CFD training, standing for Computational Fluid Dynamics, covers the methodology that provides a fast and consistent computational tool to solve complex fluid flow and heat transfer problems. CFD training enables you to reduce the risks of potential design failures and enhance your engineering design.
CFD training teaches you a broad range of physical models and fluid flow abilities so that you can gain better insight in product performance that is essential to your design accuracy in various applications, including:
- Fluid flow with heat transfer
- External and internal fluid currents
- Laminar, turbulent, and transitional flows
- Time-based flow
- Subsonic, transonic, and supersonic systems
- Gas mixture, liquid mixture
- Heat transfer in solids
- Incompressible and compressible liquid
- Compressible gas
- Real gases
- Water vapor
- Non-Newtonian liquids
What is Fluid Flow?
- Meteorological phenomena
- Environmental hazards
- Heating, aeration and air conditioning of buildings, cars
- Incineration in automobile engines and other propulsion systems
- Interaction of different objects with the surrounding air/water
- Complex flows in furnaces, heat exchangers, chemical reactors
- Processes in human body
CFD Definition
Computational Fluid Dynamics (CFD) delivers a measurable prediction of fluid flows by means of
- Mathematical modeling
- Numerical methods
- Software tools
CFD Analysis Process
- Problem statement
- Mathematical model
- Mesh production
- Space discretization
- Time discretization
- Iterative solver
- CFD software
- Simulation run
- Post processing
- Verification
Audience
CFD training is a 3-day course designed for engineers, scientists, designers and managers who are keen to learn about this technique and some of its broad range of applications.
What Will You Learn?
- Fundamentals of CFD
- Numerical Methods
- Steady and Unsteady Incompressible Flows Numerical Modeling
- Steady and Unsteady Compressible Flows Numerical Modeling
- Conventional Turbulence Modeling
- CFD High Performance Computing
- Validation and Verification of the Uncertainty Simulations
- Data Analysis, Data Fusion and Post Processing
- Importance of Experimental Data in CFD
- TONEX Case Study Sample: CFD for Aerospace Applications
CFD Training, Computational Fluid Dynamics