Computational Fluid Dynamics Fundamentals | Dr Aidan Wimshurst | Skillshare

# Computational Fluid Dynamics Fundamentals

#### Dr Aidan Wimshurst, Flow and thermal performance engineer

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5 Lessons (2h 24m)

4:21

30:46

42:14

30:26
• ### 5. Upwind Differencing

36:12
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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!

What you will learn:

• How to set up and solve your first CFD solution from first principles
• The importance of central differencing, upwind differencing and Peclet number
• A common framework to solve any scalar transport equation in CFD

Course requirements:

• Basic vector algebra (dot product, gradient, cross product)
• Basic differential equations
• Basic linear algebra (matrices)

Flow and thermal performance engineer

Teacher

Aidan is an enthusiastic computational fluid dynamics and thermal performance engineer, who addresses industrial fluid dynamics and heat transfer problems across a range of industrial sectors (Energy, Nuclear, Aviation, Civil and Transport). Aidan has expertise in developing bespoke computational solutions to complex modelling problems, such as hindered settling, conjugate heat transfer, external aerodynamics and turbomachinery. As a PhD student at Oxford University, Aidan developed novel modelling techniques for wind and tidal turbine rotors with several ground breaking research papers on rotor tip aerodynamics, which are published in the leading journal in the field: Wind Energy. In his spare time, Aidan is interested in computational fluid dynamics, numerical methods and renewable en... See full profile

## Related Skills

Technology Engineering Data Science Fluid Dynamics

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