Introduction to Computational Fluid Dynamics :

What is CFD?

Computational Fluid Dynamics (CFD) provides a qualitative (and
sometimes even quantitative) prediction of fluid flows by means of

  • mathematical modeling (partial differential equations)
  • numerical methods (discretization and solution techniques)
  • software tools (solvers, pre- and postprocessing utilities)
Computational Fluid Dynamics (CFD), Finite Element Analysis (FEA ...

CFD enables scientists and engineers to perform ‘numerical experiments’
(i.e. computer simulations) in a ‘virtual flow laboratory’

Why use CFD?

  • Architects to design comfortable and safe living environments
  • Designers of vehicles to improve the aerodynamic characteristics
  • Chemical engineers to maximize the yield from their equipment
  • Petroleum engineers to devise optimal oil recovery strategies
  • Surgeons to cure arterial diseases (computational hemodynamics)
  • Meteorologists to forecast the weather and warn of natural disasters
  • Safety experts to reduce health risks from radiation and other hazards
  • Military organizations to develop weapons and estimate the damage
  • CFD practitioners to make big bucks by selling colorful pictures 🙂

Experiments vs. Simulations

Quantitative description of flow phenomena using measurementsQuantitative prediction of flow phenomena using CFD software
• for one quantity at a time• for all desired quantities
• at a limited number of points
and time instants
• with high resolution in
space and time
• for a laboratory-scale model• for the actual flow domain
• for a limited range of problems
and operating conditions
• for virtually any problem and
realistic operating conditions
Error sources: measurement errors, flow disturbances by the probesError sources: modeling, discretization, iteration, implementation
Red Bull Racing Speeds Simulation with ANSYS - insideHPC

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