AI in Fluid Mechanics

AI in Fluid Mechanics, Vestas Wind Systems A/S

Wednesday 5 October, 09:30-16:00

Artificial Intelligence is gaining popularity in many fluid mechanics related applications. For many fluid mechanical applications it's common to have huge amounts of data from both experiments or simulations. Using machine learning techniques we can process and extract useful patterns in complex data in order to simplify problems are create reduced order models. This seminar focuses on both recent advances and new applications.

Address:
Vestas Wind Systems A/S, 
Hedeager 42, 
8220 Aarhus N

Program:

09:30
Registration
10:00
Welcome
Anders Christian Olesen, 
Vestas Wind Systems A/S, Denmark
10:15
Data-driven Fluid Mechanics and Machine Learning
Mahdi Abkar, Department of Mechanical and Production Engineering, Section of Fluid & Energy, Aarhus University
11:15
Coffee break
11:30
3D deep-learning for faster product development and CFD frontloading.  
Pierre Baque, CEO, Neural concept

12:00
Lunch break and tour
13:15
Modeling and controlling turbulent flows through deep learning
Ricardo Vinuesa, KTH Royal Institute of Technology
14:00
DANSIS Graduate Award 2022 Ceremony and Presentation
14:30
Coffee break
15:00
How can AI support the CFD engineer?
Mark Farrall, Siemens Digital Industries Software
15:30

Deep Reinforcement Learning applied to simulated wind flow data

Ewan Machefaux, Vestas Wind Systems A/S
16:00
Closing remarks
Knud Erik Meyer, DANSIS chairman

Members of DANSIS can participate in the seminar free of charge. Non-members are also invited to participate at a fee of 400 DKK.

Please register for the seminar no later than Monday 3 of October at 9 am.
Register for the seminar