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MER331 Lab 5

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Post Processor. How Does a CFD Code Work? ... Expresses the exact conservation of relevant properties for each finite size cell. ... 3) Post Processor ... – PowerPoint PPT presentation

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Title: MER331 Lab 5


1
MER331 Lab 5
  • An Introduction to Computational Fluids Dynamics
  • Professor Anderson

2
What is CFD?
  • the analysis of systems involving fluid flow,
    heat transfer, chemical reactions, by means of
    computer based simulation
  • 17th century the hydraulicists
  • 18th and 19th - the mathematicians
  • 1960 - two fold approach theory and experiments
  • Now we have CFD as a tool that complements theory
    and experiments (it will never replace these!)
  • CFD is both a research tool and design tool

3
What is CFD?
  • CFD has lagged behind developments in stress
    analysis codes
  • Powerful computers now make CFD more accessible
  • Advantages of CFD over experiments
  • reduction in lead time and costs of new designs
  • ability to study systems where controlled
    experiments are difficult to perform (large
    systems)
  • ability to study systems under hazardous
    conditions at and beyond normal performance
    limits
  • detail of results

4
Applications
  • Aerospace
  • Automobile and Engine Applications
  • Appliances
  • Boats
  • Computers

5
How Does a CFD Code Work?
  • CFD codes are structured around the numerical
    algorithms that can tackle fluid flow problems
  • Three main elements
  • Pre Processor
  • Solver
  • Post Processor

6
1) Pre-Processor
  • Consists of the input of a flow problem to CFD by
    means of a user friendly interface and
    transformation of this input to a form usable by
    the solver
  • User Activities
  • define geometry generate grid (50 time)
  • selection of phenomena to be modeled
  • definition of fluid properties
  • Specification of boundary conditions

7
2) Solver
  • Three primary numerical solution techniques
  • finite difference, finite element, finite control
    volume
  • The numerical method performs the following
  • Approximation of the unknown variables by simple
    functions
  • Discretization by substitution of the
    approx-imations into the governing flow equations
    and subsequent mathematical manipulations
  • Solution of the algebraic equations

8
Solver - Finite Difference Method
  • Finite difference methods describe the unknowns f
    of the flow problems by means of point samples at
    the node points of a grid co-ordinate lines
  • Truncated Taylor series expansions are often used
    to generate finite difference approximations of
    the derivatives of f in terms of point samples of
    f at each grid point and its immediate neighbors

9
Solver - Finite Volume Method
  • Special formulation of the finite difference
    method
  • Central to 4 of 5 main commercially available CFD
    codes PHOENICS, FLUENT, FLOW3D, STARCD

10
Solver - Finite Volume Method
  • Numerical Algorithm
  • Formal integration of the governing equations of
    fluid flow over all the (finite) control volumes
    of the solution domain
  • Discretization involves the substitution of a
    variety of finite difference type approximations
    for the terms in the integrated equation
    representing flow processes such as convection,
    diffusion and sources. This converts the integral
    equations into a system of algebraic equations.
  • Solution of the algebraic equations by an
    iterative method.

11
Solver - Finite Volume Method
  • The control volume integration distinguishes the
    finite volume method from other CFD techniques
  • Expresses the exact conservation of relevant
    properties for each finite size cell.
  • Clear relationship between the numerical
    algorithm and the underlying physical
    conservation principles
  • Conservation of a flow variable, f, can be
    expressed as a production equation
  • rate of change of f
  • net flux of f due to convection
  • net flux of f due to diffusion
  • net rate of creation of f

12
3) Post Processor
  • Provides a user friendly (??) way to look at
    the results of a simulation
  • Domain geometry and grid display
  • Vector Plots
  • Contour Plots
  • Particle Tracking
  • Details about

13
Problem Solving With CFD
  • Results of CFD are at best as good as the physics
    embedded in it as at worst as good a its operator
  • THESE PROBLEMS ARE COMPLEX
  • Prior to running a simulation there is a stage of
    identification and formulation of the flow
    problem in terms of the physical and chemical
    phenomena that need to be considered.

14
Performing a Simulation
  • Specification of the domain geometry and grid
    design
  • A successful simulation has
  • converged solution
  • grid independence

15
In Lab Today
  • We will use StarWorks (part of StarCD) which is a
    CFD Add-On to Solidworks.
  • Complete the on line Tutorial
  • Build your own CFD model of something!
  • To Pass In (at end of lab)
  • A picture of your model that shows the boundary
    conditions.
  • Flow results for your model (a vector plot and a
    pressure contour).
  • A brief description of what you modeled and what
    the results mean.
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