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Introduction to Computational Fluid Dynamics
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What Is CFD? CFD is to use computer codes to solve a wide range of problems in fluid flow and heat transfer.
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What Is CFD? CFD is a tool to investigate and research a wide range of problems in fluid flow and heat transfer.
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Where is CFD used? Aerospace Where is CFD used? Appliances Automotive
Biomedical Chemical Processing HVAC&R Hydraulics Marine Oil & Gas Power Generation Sports F18 Store Separation Hypersonic Launch Vehicle Wing-Body Interaction
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Appliances Appliances Where is CFD used? Aerospace Automotive
Biomedical Chemical Processing HVAC&R Hydraulics Marine Oil & Gas Power Generation Sports Surface-heat-flux plots of the No-Frost refrigerator and freezer compartments helped BOSCH-SIEMENS engineers to optimize the location of air inlets.
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Automotive Automotive Where is CFD used? Aerospace Appliances
Biomedical Chemical Processing HVAC&R Hydraulics Marine Oil & Gas Power Generation Sports External Aerodynamics Undercarriage Aerodynamics Interior Ventilation Engine Cooling
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Biomedical Biomedical Where is CFD used? Aerospace Appliances
Automotive Biomedical Chemical Processing HVAC&R Hydraulics Marine Oil & Gas Power Generation Sports Medtronic Blood Pump Temperature and natural convection currents in the eye following laser heating. Spinal Catheter
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Twin-screw extruder modeling
Chemical Processing Where is CFD used? Aerospace Appliances Automotive Biomedical Chemical Processing HVAC&R Hydraulics Marine Oil & Gas Power Generation Sports Polymerization reactor vessel - prediction of flow separation and residence time effects. Twin-screw extruder modeling Shear rate distribution in twin-screw extruder simulation
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HVAC&R HVAC&R Where is CFD used? Aerospace Appliances Automotive
Biomedical Chemical Processing HVAC&R Hydraulics Marine Oil & Gas Power Generation Sports Particle traces of copier VOC emissions colored by concentration level fall behind the copier and then circulate through the room before exiting the exhaust. Streamlines for workstation ventilation Mean age of air contours indicate location of fresh supply air Flow pathlines colored by pressure quantify head loss in ductwork
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Hydraulics Hydraulics Where is CFD used? Aerospace Appliances
Automotive Biomedical Chemical Processing HVAC&R Hydraulics Marine Oil & Gas Power Generation Sports
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Marine Marine Where is CFD used? Aerospace Appliances Automotive
Biomedical Chemical Processing HVAC&R Hydraulics Marine Oil & Gas Power Generation Sports
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Oil & Gas Oil & Gas Where is CFD used? Aerospace Appliances Automotive
Biomedical Chemical Processing HVAC&R Hydraulics Marine Oil & Gas Power Generation Sports Volume fraction of gas Volume fraction of oil Flow vectors and pressure distribution on an offshore oil rig Volume fraction of water Analysis of multiphase separator Flow of lubricating mud over drill bit
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Flow around cooling towers Flow pattern through a water turbine.
Power Generation Where is CFD used? Aerospace Appliances Automotive Biomedical Chemical Processing HVAC&R Hydraulics Marine Oil & Gas Power Generation Sports Flow in a burner Flow around cooling towers Pathlines from the inlet colored by temperature during standard operating conditions Flow pattern through a water turbine.
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Sports Aerospace Sports Where is CFD used? Appliances Automotive
Biomedical Chemical Processing HVAC&R Hydraulics Marine Oil & Gas Power Generation Sports
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Important factors influencing CFD
Rapid growth in computing power; Greatly improved numerical models; More efficient numerical techniques; Advanced visualisation tools.
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Increasing Computing Power
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Need of High-Performance Computing
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Need of Highly-Reliable Models
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Advantages of CFD Low Cost Speed Ability to Simulate Real Conditions
Using physical experiments and tests to get essential engineering data for design can be expensive. Computational simulations are relatively inexpensive, and costs are likely to decrease as computers become more powerful. Speed CFD simulations can be executed in a short period of time. Quick turnaround means engineering data can be introduced early in the design process Ability to Simulate Real Conditions Many flow and heat transfer processes can not be (easily) tested - e.g. hypersonic flow at Mach 20, nuclear accident analysis. CFD provides the ability to theoretically simulate any physical condition
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Advantages of CFD (2) Ability to Simulate Ideal Conditions
CFD allows great control over the physical process, and provides the ability to isolate specific phenomena for study. Example: a heat transfer process can be idealized with adiabatic, constant heat flux, or constant temperature boundaries. Comprehensive Information Experiments only permit data to be extracted at a limited number of locations in the system (e.g. pressure and temperature probes, heat flux gauges, LDV, etc.) CFD allows the analyst to examine a large number of locations in the region of interest, and yields a comprehensive set of flow parameters for examination.
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Limitations of CFD Physical Models Numerical Errors
CFD solutions rely upon physical models of real world processes (e.g. turbulence, compressibility, chemistry, multiphase flow, etc.). The solutions that are obtained through CFD can only be as accurate as the physical models on which they are based. Numerical Errors Solving equations on a computer invariably introduces numerical errors Round-off error - errors due to finite word size available on the computer Truncation error - error due to approximations in the numerical models Round-off errors will always exist (though they should be small in most cases) Truncation errors will go to zero as the grid is refined - so mesh refinement is one way to deal with truncation error.
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Fully Developed Inlet Profile
Limitations of CFD (2) Boundary Conditions As with physical models, the accuracy of the CFD solution is only as good as the initial/boundary conditions provided to the numerical model. Example: Flow in a duct with sudden expansion If flow is supplied to domain by a pipe, you should use a fully-developed profile for velocity rather than assume uniform conditions. Fully Developed Inlet Profile Computational Domain Computational Domain Uniform Inlet Profile poor better Computer Resources Even with the advent of ever faster computers and larger storage media, simulation of complex engineering systems could still require more computer resources.
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Geometric Model – Computing Power
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Physics CFD codes typically designed for resolution of certain flow phenomenon viscous vs. inviscid (Re) turbulent vs. laminar (Re) incompressible vs. compressible (Ma) single- vs. multi-phase (St) thermal/density effects and energy equation (Nu, Pr, Gr) free-surface flow and surface tension (Fr, We) Chemical reactions and many constituents (C) etc… Modeling requirements depend upon which physical phenomenon are important
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Physical Models Transport Equations Interactions
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Modelling Air-Particle Flow
Studies of Drug Delivery Devices To assess aerosol delivery to the smaller airways
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Gas-Particle flow in Boiler
Flyash velocity and concentration distribution
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Numerical Issues computational solution of the governing equations
method dependent upon the model equations and physics several components to formulation discretization and linearization assembly of system of algebraic equations solution of equations unsteady 3D RANS equations have many issues
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Faster numerical techniques
assembly/solution of algebraic system build matrix equation by taking all points across boundary layer including boundary conditions This is a special type of matrix equation known as a tridiagonal system which can be solved directly (as opposed to iterative solvers such as Guass-Seidel) no-slip edge velocity
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Software CFD software Two types of available software
Built upon physics, modeling, numerics Black box approach is dangerous. Knowledge is important since codes will have limited range of applicability. Two types of available software Commercial (e.g., Fluent, CFX, Star-CD) Research (e.g., CFD codes in universities and institutes) Software written in either C/C++ or Fortran90/95 Special coding for parallel computing
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Post-processing Data reduction, analysis, and visualization
calculation of derived variables vorticity, wall shear stress, calculation of integral parameters: forces, moments Fourier analysis of unsteady flow Visualization (again, usually with commercial software) simple X-Y plots simple 2D contours 3D contour carpet plots vector plots and streamlines animations
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Research and Development (R&D)
Engineering Experimental Fluid Dynamics (EFD) Computational Fluid Dynamics (CFD) Mathematics Computer Science Model Development & Validation
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Research on engine flow
Physical process Existing models Spray breakup KH-RT model Droplet drag Droplet distortion model Wall impingement Rebound-slide model Turbulence RNG k- model Ingition Shell autoignition model Combustion Characteristic time model Soot Nagle-Stricland model NOx Extended Zeldovich model
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Fluid-Structure Interaction
Coupling Interaction Fluid Modelling (CFD) Solid Modelling (FE) Turbulence Pressure Waves Fluctuations Temperature Vibration Noise Deformation Stress Share Information
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Computational Fluid Dynamics
Innovative CFD-CAD Optimisation Computational Fluid Dynamics (CFD) Computer Aid Design (CAD) Flow distribution Efficiency Performance Thermal analysis Share Information Geometric profile Materials Manufacturing techniques Optimised Designs
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End of Lecture 1
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