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  2. Numerical solution of the convection–diffusion equation

    en.wikipedia.org/wiki/Numerical_solution_of_the...

    The convectiondiffusion equation describes the flow of heat, particles, or other physical quantities in situations where there is both diffusion and convection or advection. For information about the equation, its derivation, and its conceptual importance and consequences, see the main article convectiondiffusion equation. This article ...

  3. Finite volume method for three-dimensional diffusion problem

    en.wikipedia.org/wiki/Finite_volume_method_for...

    Solution of equation: 1. For solving the one- dimensional convection- diffusion problem we have to express equation (8) at all the grid nodes. 2. Now obtained set of algebraic equations is then solved to obtain the distribution of the transported property .

  4. Finite volume method for two dimensional diffusion problem

    en.wikipedia.org/wiki/Finite_volume_method_for...

    The methods used for solving two dimensional Diffusion problems are similar to those used for one dimensional problems. The general equation for steady diffusion can be easily derived from the general transport equation for property Φ by deleting transient and convective terms [1]

  5. Convection–diffusion equation - Wikipedia

    en.wikipedia.org/wiki/Convectiondiffusion...

    The convectiondiffusion equation can be derived in a straightforward way [4] from the continuity equation, which states that the rate of change for a scalar quantity in a differential control volume is given by flow and diffusion into and out of that part of the system along with any generation or consumption inside the control volume: + =, where j is the total flux and R is a net ...

  6. Hybrid difference scheme - Wikipedia

    en.wikipedia.org/wiki/Hybrid_difference_scheme

    The hybrid difference scheme [1] [2] is a method used in the numerical solution for convectiondiffusion problems. It was introduced by Spalding (1970). It is a combination of central difference scheme and upwind difference scheme as it exploits the favorable properties of both of these schemes. [3] [4]

  7. Central differencing scheme - Wikipedia

    en.wikipedia.org/wiki/Central_differencing_scheme

    The right side of the convection-diffusion equation, which basically highlights the diffusion terms, can be represented using central difference approximation. To simplify the solution and analysis, linear interpolation can be used logically to compute the cell face values for the left side of this equation, which is nothing but the convective ...

  8. Finite volume method for one-dimensional steady state diffusion

    en.wikipedia.org/wiki/Finite_volume_method_for...

    Solution of equations Discretized equation must be set up at each of the nodal points in order to solve the problem. The resulting system of linear algebraic equations Linear equation can then be solved to obtain ϕ {\displaystyle \phi } at the nodal points.

  9. QUICK scheme - Wikipedia

    en.wikipedia.org/wiki/Quick_scheme

    Gradient of parabola is used to evaluate diffusion terms. If F w > 0 and F e > 0 and if we use above equations for the convective terms and central differencing for the diffusion terms, the discretized form of the one-dimensional convectiondiffusion transport equation will be written as: