This course will show you the skills that are used by the top Computational Fluid Dynamics (CFD) engineers to separate themselves from the beginners. You will learn how to carry out a mesh sensitivity study correctly using Richardson Extrapolation. This is a technique that is recommended by the Journal of Fluids Engineering and is often not taught in engineering classes. You will also learn how to choose the right RANS turbulence model (k - epsilon, k - omega SST) and how to get the most out of your contour plots and line graphs. These skills will help you produce professional looking journal papers, conference papers, PhD and Masters theses and technical reports, that are significantly better than other scientists and engineers. Worked examples are provided throughout the course, with python code, MATLAB code and Excel spreadsheets provided (you can use whichever language you feel more comfortable with. The MATLAB code and python code is identical). By the end of the course you will be confident and ready to apply the skills in your own CFD calculations. The lessons in this course can be applied to any CFD code, so it does not matter what CFD code you use (Fluent, CFX, OpenFOAM etc.)
In this lecture, a brief introduction to the course is provided. You will have an overview of the course content and what you will be studying in Section 1 and Section 2.
Throughout the course a number of suggested exercises are provided to help enhance your understanding of the course material. In this lecture the format of the suggested exercises is provided, along with a PDF for the exercise solutions.
A brief announcement of recent improvements to the course.
By the end of this lecture you will know the difference between verification and validation. You will also be able to use Richardson Extrapolation to calculate the discretisation error in a mesh sensitivity study.
In this lecture the solution to exercise 1 is discussed.
By the end of this lecture you will have a basic understanding of how to test the effect of discrete parameters (like choice of turbulence model) and continuous parameters on the CFD solution.
In this lecture the solution to exercise 2 is discussed.
By the end of this lecture you will have three useful libraries that you can use to browse for experimental data.
In this lecture the solution to exercise 3 is discussed.
By the end of this lecture you will have learned several different techniques that you can use to improve your contour plots including: choice of colour map, restricting the contour range, contour labels and zoom boxes.
In this lecture the solution to exercise 4 is discussed.
In this lecture the solution to exercise 5 is discussed.
In this lecture the solution to exercise 6 is discussed.
By the end of this lecture you will have learned a variety of techniques for improving your line plots including: shaded areas, zoom boxes and the difference between line segments and curve fits.
By the end of this lecture you will know how to format tables for academic journals and conference papers.
In this lecture the solution to exercise 7 is discussed.
In this lecture, the solution to exercise 8 is discussed.
In this lecture the solution to exercise 9 is discussed.
A short quiz to test your understanding of the course material
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