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Welcome to your calendar for data science events! Dive into a curated list of courses, conferences, seminars, workshops, and key deadlines. Tailor your search to match your interests by adjusting the event category filters. For those specifically looking for PhD courses, simply modify the filter settings to include these events as well. Stay connected and up-to-date with the latest in data science, all in one place.

 

 

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Advanced Computational Fluid Dynamics (2024)

August 19 - August 22

Organiser: Associate Professor Chungen Yin, chy@energy.aau.dk
 

Lecturers

Associate Professor Chungen Yin, AAU Energy, 

Associate Professor Torsten Berning, AAU Energy

Post-Doc Tianbao Gu, AAU Energy

ECTS: 4.0

Date/Time: August 19-22, 2024

Deadline: 29 July 2024

Place: AAU Energy, Pontoppidanstraede 101, Aalborg, Denmark

Format: in person

Max no. of participants: 25

Computational Fluid Dynamics (CFD) has been successfully used for improved understanding, trouble shooting, innovative design and optimization of technologies and facilities in numerous areas such as energy, mechanical, environmental, health, chemical, food, and pharmaceutical industry. This advanced CFD course will provide a familiarity with and an in-depth understanding of fundamentals of CFD, turbulence modelling, multiphase flow modelling, reacting flow modelling, and user-defined functions and expressions.

 

  • Day 1: Fundamentals of CFD (intro to CFD; the finite volume method for various steady and unsteady problems; different spatial and temporal discretization schemes – their formulation and assessment). Lecturer: Chungen Yin, 7.4 hours
  • Day 2: RANS turbulence modeling (SIMPLE algorithm for pressure-velocity coupling; fundamentals of turbulence; different isotropic eddy viscosity models; near-wall modeling; meshing impact and strategies). Lecturer: Chungen Yin, 7.4 hours
  • Day 3: Multiphase flow modeling (different methods for multiphase flow modeling such as Lagrangian method, Eulerian method, mixture & volume of fluid approach; modeling multiphase flow in porous media). Lecturer: Torsten Berning, 7.4 hours
  • Day 4: Turbulent combustion/reaction modeling and user-defined functions & expression (combustion analysis tools; species transport/eddy dissipation or EDC; mixture fraction/PDF; fundamentals and examples of user-defined functions and expression). Lecturers: Chungen Yin, 5.4 hours; Tianbao Gu, 2.0 hours

 

 

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT
The Danish universities have entered into an agreement that allows PhD students at a Danish university (except Copenhagen Business School) the opportunity to free of charge take a subject-specific course at another Danish university. Guests at AAU Energy can free attend the course. 

Payment:  A Online link for externals participants will be annonced after deadline for registration

Prerequisites: Basic knowledge in fluid flow, turbulence, multiphase flow, chemical reactions, programming

Form of evaluation: finish one of the following mini-projects and submit the mini-project report.

1. numerically solve a general transport equation using the finite volume method and the key

results; or 2. modeling of a turbulent flow using a commercial CFD code both by the default software and by

developing and integrating user-defined functions.

Course literature:

1. Book: Versteeg, H.K.; Malalasekera, W. “An introduction to computational fluid dynamics – The finite volume method (2nd edition)”. Pearson Education Limited, 2007 (ISBN 978-0-13-127498-3). The relevant chapters, ca. 200 pages
2. Papers: ca. 50 pages (to be uploaded to the course homepage in Moodle)
3. Presentations: lecture slides, ca. 350 pages (to be uploaded to the course homepage in Moodle)

Disclaimer:
DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.

Details

Start:
August 19
End:
August 22
Event Category:
Website:
https://phdcourses.dk/Course/109671

Other

Event language
English
Event Type
PhD course
ECTS (leave empty for none)
4.0