Introduction to CFD-Introductory FLUENT Training

•Computational fluid dynamics (CFD) is the science of predicting fluid flow, heat and mass transfer, chemical reactions, and related phenomena by solving numerically the set of governing mathematical equations

–Conservation of mass

–Conservation of momentum

–Conservation of energy

–Conservation of species

–Effects of body forces

–Etc.

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•The results of CFD analyses are relevant in:

–Conceptual studies of new designs

–Detailed product development

–Troubleshooting

–Redesign

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•CFD analysis complements testing and experimentation by reducing total effort and cost required for experimentation and data acquisition.

ANSYS CFD solvers are based on the finite volume method

–Domain is discretized into a finite set of control volumes

–General conservation (transport) equations for mass, momentum, energy, species, etc. are solved on this set of control volumes

–Partial differential equations are discretized into a system of algebraic equation

–All algebraic equations are then solved numerically to render the solution field

•Problem Identification

1.Define your modeling goals

2.Identify the domain you will model

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•PreProcessing and Solver Execution

3.Create a solid model to represent the domain

4.Design and create the mesh (grid)

5.Set up the physics (physical models, material properties, domain properties, boundary conditions, …)

6.Define solver settings (numerical schemes, convergence controls, …)

7.Compute and monitor the solution

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•Post-Processing

8.Examine the results.

9.Consider revisions to the model.

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