What is CFD? (Computational Fluid Dynamics)
CFD is a computer tool that helps us model how things like air or
water flow over objects, spread heat, and mix with other fluids —
without doing real experiments.
It allows engineers to visualize and predict:
• How air flows over an airplane wing
• How water flows through a pipe
• How smoke spreads in a room
• How blood flows in arteries
What happens inside CFD?
• To understand that, let’s look at three basic ideas:
🔹 1. Fluid flow is governed by physics laws
• Fluids obey the Navier-Stokes equations, which
describe:
• Conservation of mass (Continuity Equation)
• Conservation of momentum (Newton’s 2nd Law applied to
fluids)
• Conservation of energy (Heat transfer, etc.)
2. We can't solve these equations directly for
real-world shapes
• These equations are complex, and there is no
exact solution for most real-life problems like an
aircraft, car, or turbine.
• So we break the flow region (like around a
wing)into small pieces called grid
cells or mesh and solve the
equations approximately in each cell.
What are Numerical Methods?
They are mathematical techniques used to approximate solutions
to equations when exact solutions are impossible.
• Examples:
• Finite Difference Method (FDM): Approximates derivatives
using differences (used in structured grids).
• Finite Volume Method (FVM): Divides the flow domain into
small control volumes and applies conservation laws to each
(most popular in CFD).
• Finite Element Method (FEM): Used more in structural
analysis but also in fluid flow problems.
What are Algorithms?
Algorithms are step-by-step procedures the computer
follows to:
• Set up the equations
• Solve them iteratively
• Adjust values until the solution becomes stable (called
convergence)
• For example:
• Solving pressure and velocity in each mesh cell using an
iterative solver like SIMPLE, SIMPLEC, or PISO.
Real-Life Analogy
• Imagine you want to know how water flows through a river:
• In an experiment, you build a physical model and pour water
into it.
• In CFD, you build a computer model of the river.
• Then divide it into many small blocks (mesh).
• Apply the fluid physics equations to each block using
numerical methods.
• The computer solves the flow in all blocks using an algorithm,
and gives you the speed, pressure, temperature at each point.
Why use CFD?
• Saves time and cost over experimental testing.
• Helps visualize flow fields (streamlines, pressure
contours, etc.).
• Enables testing of multiple design changes quickly.
• Can be used in extreme conditions where
experiments are difficult (e.g., hypersonic flight,
nuclear reactors).
Key Industries Using CFD
Industry CFD Applications
• Aerospace Aircraft wing design, drag prediction, shockwave analysis,
combustion in engines.
• Automotive Aerodynamics, thermal management, cabin airflow, engine
combustion.
• Civil Engineering Wind loading on buildings, pollutant dispersion, HVAC
design.
• Marine Ship hull design, propeller optimization, cavitation studies.
• Medical Blood flow in arteries, airflow in lungs, medical device simulation.
• Energy Wind turbine simulation, gas turbine analysis, cooling systems.
• Chemical Industry Mixing in reactors, multiphase flows, chemical transport.
Common CFD Applications (Examples)
Aerodynamics of Vehicles
• Reduce drag on cars or aircraft.
• Improve fuel efficiency.
Internal Flows
• Turbomachinery (compressors, turbines).
• HVAC ducts, piping systems.
Heat Transfer Problems
• Cooling of electronic devices.
• Thermal protection systems for space vehicles.
Multiphase Flows
• Oil-water-gas separation.
• Boiling and condensation in heat exchangers.
Environmental Flows
• Air pollution dispersion.
• Water flow in rivers and dams.
Biomedical Flows
• Blood flow through arteries.
• Airflow in nasal passages.
Benefits of CFD
• Provides detailed insight into flow behavior.
• Reduces prototype testing and improves design
accuracy.
• Can be combined with optimization algorithms for
better results.
• Supports virtual prototyping and simulation-driven
design.
Limitations of CFD
• Requires powerful computing resources.
• Numerical errors and convergence issues can arise.
• Results depend on boundary conditions and
turbulence models.
• Still needs validation with experiments for accuracy.
What is CFD (Computational Fluid Dynamics) ✦ Definition CFD is a computer-based tool used to simulate how fluids (like air, water, gas) move and interact with surfaces, heat, and each other. It a.pptx

What is CFD (Computational Fluid Dynamics) ✦ Definition CFD is a computer-based tool used to simulate how fluids (like air, water, gas) move and interact with surfaces, heat, and each other. It a.pptx

  • 1.
    What is CFD?(Computational Fluid Dynamics) CFD is a computer tool that helps us model how things like air or water flow over objects, spread heat, and mix with other fluids — without doing real experiments. It allows engineers to visualize and predict: • How air flows over an airplane wing • How water flows through a pipe • How smoke spreads in a room • How blood flows in arteries
  • 2.
    What happens insideCFD? • To understand that, let’s look at three basic ideas: 🔹 1. Fluid flow is governed by physics laws • Fluids obey the Navier-Stokes equations, which describe: • Conservation of mass (Continuity Equation) • Conservation of momentum (Newton’s 2nd Law applied to fluids) • Conservation of energy (Heat transfer, etc.)
  • 3.
    2. We can'tsolve these equations directly for real-world shapes • These equations are complex, and there is no exact solution for most real-life problems like an aircraft, car, or turbine. • So we break the flow region (like around a wing)into small pieces called grid cells or mesh and solve the equations approximately in each cell.
  • 4.
    What are NumericalMethods? They are mathematical techniques used to approximate solutions to equations when exact solutions are impossible. • Examples: • Finite Difference Method (FDM): Approximates derivatives using differences (used in structured grids). • Finite Volume Method (FVM): Divides the flow domain into small control volumes and applies conservation laws to each (most popular in CFD). • Finite Element Method (FEM): Used more in structural analysis but also in fluid flow problems.
  • 5.
    What are Algorithms? Algorithmsare step-by-step procedures the computer follows to: • Set up the equations • Solve them iteratively • Adjust values until the solution becomes stable (called convergence) • For example: • Solving pressure and velocity in each mesh cell using an iterative solver like SIMPLE, SIMPLEC, or PISO.
  • 6.
    Real-Life Analogy • Imagineyou want to know how water flows through a river: • In an experiment, you build a physical model and pour water into it. • In CFD, you build a computer model of the river. • Then divide it into many small blocks (mesh). • Apply the fluid physics equations to each block using numerical methods. • The computer solves the flow in all blocks using an algorithm, and gives you the speed, pressure, temperature at each point.
  • 7.
    Why use CFD? •Saves time and cost over experimental testing. • Helps visualize flow fields (streamlines, pressure contours, etc.). • Enables testing of multiple design changes quickly. • Can be used in extreme conditions where experiments are difficult (e.g., hypersonic flight, nuclear reactors).
  • 8.
    Key Industries UsingCFD Industry CFD Applications • Aerospace Aircraft wing design, drag prediction, shockwave analysis, combustion in engines. • Automotive Aerodynamics, thermal management, cabin airflow, engine combustion. • Civil Engineering Wind loading on buildings, pollutant dispersion, HVAC design. • Marine Ship hull design, propeller optimization, cavitation studies. • Medical Blood flow in arteries, airflow in lungs, medical device simulation. • Energy Wind turbine simulation, gas turbine analysis, cooling systems. • Chemical Industry Mixing in reactors, multiphase flows, chemical transport.
  • 9.
    Common CFD Applications(Examples) Aerodynamics of Vehicles • Reduce drag on cars or aircraft. • Improve fuel efficiency. Internal Flows • Turbomachinery (compressors, turbines). • HVAC ducts, piping systems. Heat Transfer Problems • Cooling of electronic devices. • Thermal protection systems for space vehicles.
  • 10.
    Multiphase Flows • Oil-water-gasseparation. • Boiling and condensation in heat exchangers. Environmental Flows • Air pollution dispersion. • Water flow in rivers and dams. Biomedical Flows • Blood flow through arteries. • Airflow in nasal passages.
  • 11.
    Benefits of CFD •Provides detailed insight into flow behavior. • Reduces prototype testing and improves design accuracy. • Can be combined with optimization algorithms for better results. • Supports virtual prototyping and simulation-driven design.
  • 12.
    Limitations of CFD •Requires powerful computing resources. • Numerical errors and convergence issues can arise. • Results depend on boundary conditions and turbulence models. • Still needs validation with experiments for accuracy.