Mathematical problems | Computational fluid dynamics
Finite volume method (FVM) is a numerical method. FVM in computational fluid dynamics is used to solve the partial differential equation which arises from the physical conservation law by using discretisation. Convection is always followed by diffusion and hence where convection is considered we have to consider combine effect of convection and diffusion. But in places where fluid flow plays a non-considerable role we can neglect the convective effect of the flow. In this case we have to consider more simplistic case of only diffusion. The general equation for steady convection-diffusion can be easily derived from the for property by deleting transient. General transport equation is defined as: …………………………………………….1 Where, is a conservative form of all fluid flow, is density, is a net rate of flow of out of fluid element represents convective term, is a transient term, is a rate of change of due to diffusion, is a rate of increase of due to source. Due to steady state condition transient term becomes zero and due to absence of convection convective term becomes zero, therefore steady state three- dimensional convection and diffusion equation becomes: ………………………………………………………….2 Therefore, …………………………………………………………………….3 Flow should also satisfy continuity equation therefore, ………………………………………………………………………………………………………4 (Wikipedia).
Project VI: Two-Dimensional Diffusion Equation | Lecture 74 | Numerical Methods for Engineers
A discussion about a MATLAB code to solve the two-dimensional diffusion equation using the Crank-Nicolson method. Join me on Coursera: https://www.coursera.org/learn/numerical-methods-engineers Lecture notes at http://www.math.ust.hk/~machas/numerical-methods-for-engineers.pdf Subscribe
From playlist Numerical Methods for Engineers
Claire Chainais-Hillairet: Nonlinear free energy diminishing schemes for convection-diffusion...
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Solution of the diffusion equation (heat equation) by the method of separation of variables. Here, the first step is to separate the variables. Join me on Coursera: https://www.coursera.org/learn/differential-equations-engineers Lecture notes at http://www.math.ust.hk/~machas/different
From playlist Differential Equations for Engineers
Diffusion equation (Fourier series) | Lecture 55 | Differential Equations for Engineers
Solution of the diffusion equation (heat equation). Here, we satisfy the initial conditions using a Fourier series. Join me on Coursera: https://www.coursera.org/learn/differential-equations-engineers Lecture notes at http://www.math.ust.hk/~machas/differential-equations-for-engineers.p
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Ex 5: System of Three Equations with Three Unknowns Using Elimination (Infinite Solutions)
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Diffusion equation (eigenvalues) | Lecture 54 | Differential Equations for Engineers
Solution of the diffusion equation (heat equation). Here, we compute the eigenvalues of the separated differential equations. Join me on Coursera: https://www.coursera.org/learn/differential-equations-engineers Lecture notes at http://www.math.ust.hk/~machas/differential-equations-for-
From playlist Differential Equations for Engineers
There are many materials factors that will influence rates of diffusion such as density, close-packing, bonding nature etc. We can also find short-circuit high rate diffusion pathways such as dislocations, grain boundaries, and surfaces. These will have much faster rates of diffusion than
From playlist Materials Sciences 101 - Introduction to Materials Science & Engineering 2020
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MIT 10.34 Numerical Methods Applied to Chemical Engineering, Fall 2015 View the complete course: http://ocw.mit.edu/10-34F15 Instructor: James Swan This is a review session to help prepare the quiz. Later, students moved on to learn finite volume methods and constructing simulations of PD
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From playlist Materials Sciences 101 - Introduction to Materials Science & Engineering 2020