Udemy - Computational Fluid Dynamics Fundamentals Course

What you'll learn:
The fundamentals of Computational Fluid Dynamics (CFD) that are used by engineers, scientists and researchers
How to set up and solve your first CFD solution from first principles (using Excel, Python or MATLAB)
The importance of central differencing, upwind differencing and Peclet number
A common framework to solve any scalar transport equation in CFD
Requirements
Basic vector calculus (dot product, gradient, cross product)
Basic differential equations
Basic linear algebra (matrices)
Microsoft Excel, Python or MATLAB
Description
An introduction to the fundamentals of Computational Fluid Dynamics (CFD) that are used to solve complex fluid dynamics problems (weather prediction, aircraft flight, turbomachinery) by researchers, scientists and engineers around the world. The course starts from first principles and you will rapidly develop your first CFD solution using the Excel sheets and Python source code provided. By the end of the course, you will understand the importance of upwind differencing, Peclet number and mesh resolution. No prior experience is required and no specific CFD code/coding experience is required! You do not need ANSYS Fluent, OpenFOAM, Star CCM or any other CFD to use this course.
Who this course is for
High School/Secondary School Physics Students
Undergraduate Engineers, Physicists and Scientists
Masters and PhD level Students
Homepage

https://www.udemy.com/course/computational-fluid-dynamics-fundamentals-course/

Udemy - Computational Fluid Dynamics Fundamentals Course Fast Download
Udemy - Computational Fluid Dynamics Fundamentals Course Full Download