Challenge

Week 9 - FVM Literature Review

FINITE VOLUME METHOD

Definition: It is one of the numerical technique employed by CFD to solve the governing equations which govern the fluid flow phenomenon and other fluid flow-associated phenomenon, by defining the value of the flow variables at the centroid of the control volume.

Theory:

  • Governing equations are obtained either in integral form and differential form.
  • These governing equations represent the values of flow variables at each and every point in the flow domain( continuous function).
  • Discretization is a process of converting differential or integral equations of governing equations into algebraic equations.
  • These algebraic equations approximate the value of flow variables only at a finite number of discrete points in the flow domain (not continuous).
  • Finite Difference Method, Finite Volume Method, and Finite Element Method are the discretization techniques used by CFD.
Finite Volume Method Finite Difference Method
  • It uses an integral form of governing equation to discretize the flow domain
  • It uses a differential form of governing equations to discretize the flow domain
  • It stores the flow variable values at the centroid of the control volume
  • It stores the flow variable value at the mesh grid points.
  • Its mathematical expression represents the conservation of the fluid property.
  • Its mathematical expression does not represent the conservation of the fluid property
  • It can be used easily, even when grids are not aligned(Unstructured mesh)
  • It cannot be used easily when grids are not aligned (transformation functions are required)

FVM Steps:

Step 1: Grid generation

  • The first step of the FVM is to divide the domain into discrete control volumes.
  • The boundaries (or faces) of control volumes are positioned mid-way between adjacent nodes.

Step 2: Discretisation

  • The key step of the finite volume method is the integration of the governing equations over a control volume to yield a discretized equation at its centroid.

Step 3: Solution of equations

  • Discretised equations set up at each of the nodal points.
  • For control volumes that are adjacent to the domain boundaries the discretized equation must be modified to incorporate boundary conditions.
  • The resulting system of linear algebraic equations is then solved using a suitable matrix method to obtain the distribution of the flow properties at nodal points.

1D linear heat conduction equation

  • It is a steady-state pure diffusion process.
  • FVM Steps are explained in the below figure

  • The above-obtained system of linear equations is solved using a suitable matrix method.
  • In order to derive useful forms of the discretised equations, the interface diffusion coefficient K and the gradient dT/dx at the east and west are required.
  • But the values of the property T and the diffusion coefficient are defined and evaluated at nodal points(centroid).
  • To calculate gradients dT/dx (and hence fluxes) at the control volume faces an approximate distribution of properties between nodal points is used, i.e Gradient Scheme.
  • To calculate diffusive terms at the control faces, Interpolation schemes are used to transform cell-centre quantities to face centres.

Note: In OpenFOAM

  • Flux limiters are used to preserve the monotonicity condition by limiting the flux to ensure that the extrapolated flux value at faces is bounded by the neighbouring cell values.

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