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. Why commercial CFD 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

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why commercial cfd codes
Why commercial CFD 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
physics modeled
Physics modeled
  • 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
limitations
Limitations
  • 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)
suggestions
Suggestions
  • 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
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