CFD Training, Computational Fluid Dynamics

CFD Training, Computational Fluid Dynamics

CFD Training, Computational Fluid Dynamics Course Description

CFD training, Computational Fluid Dynamics is a method based on a quick and consistent computational method to solve complicated fluid flow and heat transfer problems. CFD allows the product design personnel to decrease the risks of potential design failures, improve their engineering design, and thus deliver them with the false competitive benefits in the marketplace.

This CFD training delivers an introduction to the scientific rules and practical engineering usages of CFD. It offers the basic mathematical equations controlling the fluid flow and heat transfer phenomena, as well as practical applications of these theories.

CFD training course is designed to echo the broad applications of CFD. It covers various fields including aerospace, turbo machinery, multiphase environmental flows and fluid-structure interaction problems.

Learn About:

• CFD Fundamentals, principles, and Modeling
• CFD requirements
• Boundary Conditions
• Physical properties of materials
• The required user input
• Turbulence modeling
• Solution control parameters
• Discretization schemes
• Solution-adaptive mesh refinement
• Streamwise – periodic flows
• Compressible Fluid Flow considerations
• Heat transfer and radiation modeling
• Non-Conformal meshes
• Modeling flows with rotating reference frames

TONEX CFD Training Format

This course is a combination of theoretical and practical training on CFD. You will learn the concepts, methods, and formulas via lectures, while you will exercise what you have been taught through labs, group activities, and hands-on workshops.

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.

Training Objectives

Upon the completion of CFD training, attendees are able to:

• Establish the best CFD model (in regards to boundary conditions, material properties, solution control parameters, solution monitor, etc.) for the targeted problem
• Develop the most suitable turbulence model for their specific applications
• Articulate how to execute both Steady state and Transient (time dependent) fluid flow simulations
• Describe how to solve for both isothermal and non-isothermal thermo-fluid purposes, by involving all the required modes of heat transfer i.e. conduction, convection and radiation, in their CFD model
• Solve for both Incompressible and Compressible fluid flow purposes
• Solve for fluid flow across porous media and rotating machinery
• Obtain the necessary results and plots from the wealth of knowledge accessible at the solution stage
• Display a critical understanding of the principal equations of fluid mechanics and heat transfer
• Measure the effect of various physical phenomena based on dimensional assessment
• Comprehend mathematical components of governing equations
• Evaluate accurate boundary/initial value problems for different flows
• Establish the methodical application of the model equations and problems used in CFD
• Validate a critical understanding of the notions of stability and turbulence

Course Outline

Fundamentals of CFD

• Computational Fluid Dynamics (CFD) definition
• Fundamentals of gases and liquids thermodynamics
• Fundamentals of heat transfer
• Compressible and incompressible flows
• Dimensional studies and similarity elements
• Governing math equations
• PDEs classification
• Fluid dynamics modeling
• Unstable and turbulent flows

Numerical Methods

• Fundamentals of numerical analysis
• Discretization methods
  • Finite difference
  • Finite volume
  • Finite element
  • Spectral methods
• Algebraic equations
• Systems of equations

Steady and Unsteady Incompressible Flows Numerical Modeling

• Different formulations of the governing equations and numerical methods
  • Linear
  • High-resolution methods
• Solution approaches
  • Pressure Poisson
  • Projection
  • Artificial compressibility
• Focused schemes
• TVD and Riemann approaches
• Second and high-order methods

Steady and Unsteady Compressible Flows Numerical Modeling

• Hyperbolic systems mathematical features
• Conservation Laws
• Non-linearity and shock configuration
• Weak solutions concept
• Artificial viscosity
• The Riemann problem
• Lax-Wendroff system
• McCormack’s pattern
• Method of Lines and Jameson’s pattern
• Godunov’s method
• Flux vector splitting methods
• High-order and TVD methodology

Conventional Turbulence Modeling

• Reynolds Averaged Navier Stokes approach
• Mixing Length methods
• Turbulent Transport
• Two Equation models
• Non-Linear simulations
• Non-equilibrium models
• Reynolds Stress Transport systems
• Low-Re Modeling
• Transition Modeling expansions
• Best practices
• Current approximations limitations

CFD High Performance Computing

• Differences between desktop and supercomputing
• Parallel computing concerns and problems
• Parallelization methods for dispensed and shared memory systems
• Current CFD process restrictions
• Product applications

Validation and Verification of the Uncertainty Simulations

• Reliability, stability and convergence
• Taxonomies of mistakes and uncertainty
• Code verification rules
• Synthetic solutions approach
• Solution verification rules
• Impact of systematic iterative and space-time grid convergence investigations
• Richardson extrapolation
• Validation principals
• Epistemic uncertainty statistics
• Validation hierarchies configuration

Data Analysis, Data Fusion and Post Processing

• Data transaction styles
• Data analysis
• Data visual demonstration
• Parallel data graphics
• Data mining
• Reduced order modeling
• Model determination
• Surrogate modeling
• Data fusion
• Virtual reality visualization.

Importance of Experimental Data in CFD

• Fundamentals of turbulent flows measurement
• How to measure velocity and pressure by aerodynamic probes
• How to measure velocity by hot-wires/hot-film
• How to measure velocity by optical techniques
• How to measure temperature
• Simple optical visualization, Shadowgraph, Schlieren
• How to measure temperature by and species by laser
• Laser Induced Fluorescence
• Skin friction, convective and radiated heat transfer
• Error evaluation

TONEX Case Study Sample: CFD for Aerospace Applications

• Outline the external flow issues in aeronautical and aerospace applications
• Discuss the CFD methods applicable for subsonic, supersonic and hypersonic systems
• Discuss the CFD methods for design
• Discuss the systematic application of the main features of CFD methods used in aeronautical and aerospace
• Evaluate and articulate the limitations of these methods
• Some examples

CFD Training, Computational Fluid Dynamics