POSTPONED - Open-source Computational Fluid Dynamics – 2. Efficient Workflows and Code Customisation (2020) - CPH

Welcome to Open-source Computational Fluid Dynamics – 2. Efficient Workflows and Code Customisation


Description:

Interaction between fluid and a human-made structure or device is design critical in a wide range of engineering disciplines. When designing bridges, cars, wind turbines and when optimising electronics cooling, ship hulls etc. Computational Fluid Dynamics (CFD) software is becoming an ever more important design tool. CFD enables faster design loop iteration by detailed flow analysis in or around a proposed design in a virtual environment.
This course is an introduction to CFD using OpenFOAM which is the most widely used open source toolkit for CFD. The fact that OpenFOAM is open source makes it extremely versatile allowing the user to modify any aspect of the code to his/her needs. While large scale simulations with commercial CFD software can be extremely expensive due to licence fees, OpenFOAM can be run on massively parallel HPC’s at no additional cost.

Prerequisites:
Participants must have basic understanding of the physics of fluids and the usage of CFD methods. Furthermore, basic skills in general use of computers are expected. The participants will work with exercises on an OpenFOAM installation on Microsoft Azure, so before the first day you must sign up for an account on Azure and preferably log in and verify the installation (more detailed info provided after sign-up). Furthermore, fundamental knowledge of OpenFOAM is expected. We recommend that new OpenFOAM users start with the course “Open-source Computational Fluid Dynamics – 1. Fundamentals“. Additionally, basic knowledge in Python programming is recommended.

Form of evaluation:
A standard mini-project must be delivered (4-8 pages) in addition to the OpenFOAM code. The mini-report should explain and document an OpenFOAM workflow along with modifications to either a flow solver, boundary conditions or functions objects



Organizer: Assistant Professor Jakob Hærvig, Dept. of Energy Technology, AAU (jah@et.aau.dk) Assistant Professor Johan Rønby, Dept. of Mathematical Sciences, AAU (roenby@math.aau.dk)

Lecturers: Assistant Professor Jakob Hærvig, Dept. of Energy Technology, Aalborg University Assistant Professor Johan Rønby, Dept. of Mathematical Sciences, Aalborg University Niels E. Linnemann Nielsen, Sr. Manager, Grundfos

ECTS: 3

Time: 10 – 11 June 2020  New course dates will be announced later.

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Number of seats: 20

Deadline: 20 May 2020

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.