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Computational Fluid Dynamics for Engineers Lecture 4: Commercial CodesPowerPoint Presentation

Computational Fluid Dynamics for Engineers Lecture 4: Commercial Codes

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Computational Fluid Dynamics for Engineers Lecture 4: Commercial Codes

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Computational Fluid Dynamics for Engineers Lecture 4: Commercial Codes

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Computational Fluid Dynamics for EngineersLecture 4: Commercial Codes

- 100+ man-years of CFD development
- Integrated grid generation, solver and post-processing
- Standardized tools (tested and validated) for companies
- Ability to handle complex geometries
- Easy-to-use user interfaces
- Technical support
- Ability to import information from other CAD tools and interface with other analysis tools
- Faster virtual prototyping for quicker design evaluation
- Design to cost, performance and quality
- Flexible user subroutines that allow creative problem solving

- Incompressible or compressible flows
- Internal or external flows
- Laminar or turbulent flows
- Moving boundary flows
- Newtonian, non-Newtonian with variable properties
- Combustion, chemical kinetics, plasma chemistry
- Multiphase flows

- Learning curve related to user interfaces
- Makes users regard it as a black box
- Solutions look realistic enough to be believable
- Move toward reducing the number of solution variables or algorithms removed from the user
- Defaults for algorithm, convergence etc.
- Codes – too robust or too stable ? (always guaranteed a solution – even with incorrect boundary conditions or problem set-up)

- Always know what to expect from the solution
- Compare with analytical solutions for ‘simplified’ scenarios
- Need for good experimental data and validation
- Always question the results
- Use the most accurate (even if time consuming) algorithms
- Work with tighter tolerances, finer mesh
- Verify if solutions are mesh-converged
- Review cell reynolds number, mesh skewness (compute CFL limit)
- Do not believe the absolute numbers !
- Let simulations suggest trends and simplifications for analytical solutions