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Fundamentals of CFD using MATLAB code
Rating: 4.1 out of 5(57 ratings)
198 students

Fundamentals of CFD using MATLAB code

Fundamentals of CFD from beginner to advanced levels using MATLAB code.
Created byShashikant Das
Last updated 7/2022
English
English [Auto],

What you'll learn

  • You will learn CFD with MATLAB code in this course.
  • MATLAB code will be used to address various CFD heat transport problems.
  • My primary goal is to teach you the fundamentals of CFD from beginner to advanced levels.
  • CFD, which many people believe is difficult to understand, will be simplified and taught to you in a very basic manner.

Course content

4 sections • 29 lectures • 5h 22m total length

  • Tutorial 1, lecture 17:11

    Explore solving a steady-state heat conduction problem in a square cross-section with left high and right low temperatures, and insulated top and bottom, using 2D finite difference in Matlab.

  • Tutorial 1, lecture 27:11

    Set up and apply boundary conditions for a CFD problem, then discretize the governing equation with a finite-difference method to convert it into algebraic equations.

  • Tutorial 1, lecture 310:26

    the lecture demonstrates discretizing a cross-section CFD problem with finite differences, grouping the domain, and deriving discrete equations for d^2 b/dx^2 and d^2 b/dy^2 in MATLAB.

  • Tutorial 1, lecture 48:30

    delta(x)=delta(y) will be there only if both the grid size are equal or uniform grid. I have make derivation if the grid size are not equal, this derivation I have also used in Matlab code; its working good you can check. Please check both in attached file. previous code was fine if length and number of nodes will be equal. Thanks for your fuggestion

  • Tutorial 1: If dalta(x) not equal to dalta(y)11:05

    Explain why we use a uniform grid and how to extend the derivation to non-uniform grids, deriving the final equation when delta x differs from delta y.

  • Tutorial 1, lecture 510:19

    Modify boundary conditions, define grid points and delta x and delta y spacings, and derive the discrete temperature update across a 2d node grid.

  • Tutorial 1, lecture 68:18
  • Tutorial 1, lecture 710:00

    Begin MATLAB coding for CFD by selecting an iterative method, taking user inputs for nodes and edges, and forming a matrix-based solver to approximate flow in a rectangular cross-section.

  • Tutorial 1, lecture 810:00

    Learn to set up CFD problems with MATLAB code by defining x and y grid points, initializing values, applying error-based convergence criteria, and iterating toward a solution.

  • Tutorial 1, lecture 910:00

    Define fixed nodes, develop a model, and derive the solution, organizing the database and program structure within MATLAB.

  • Tutorial 1, lecture 1010:00

    Explore how boundary conditions guide cfd data analysis and Matlab workflows, using a for loop to examine longitudinal differences and interpret results across iterations.

  • Tutorial 1, lecture 1112:49
  • Lecture 12: If dalta(x) not equal to dalta(y) code8:04

    apply a nonuniform cfd grid in MATLAB by setting delta x not equal to delta y, using delta x/delta y ratio in coefficients, and initialization.

Requirements

  • No programming experience need. I will explain each and everything in very basic manner

Description

This video series will go over a variety of CFD problems using MATLAB code. This course covers the principles of CFD at the beginning, middle, and advanced levels. Many people assume that CFD is difficult to grasp, yet it will be simplified and explained to you in a very easy manner. To handle various CFD heat transport problems, MATLAB code will be used. My primary purpose is to teach you the principles of CFD at all levels, from beginner to advanced. There is no need for any programming experience. I'm going to describe everything in a nutshell here. To express the whole problem, I utilised both a writing pad and the MATLAB software; first, the problem will be specified in the writing pad, and then the real problem will be solved in MATLAB.

MATLAB code will be used to address basic CFD problems like as conduction and convection. Problems are chosen in such a way that they include a combination of conduction, convection, adiabatic state, and so on. These issues will be addressed using both steady-state and transient-state strategies. I concentrated on two dimensions of difficulties in this tutorial. The iterative method for solving CFD problems is presented in detail. The output printed graph command in MATLAB solves the final problems, and the graph is analysed by adjusting the input values.

Who this course is for:

  • This course covers the fundamentals of CFD at the beginning, intermediate, and advanced levels.

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