Dr. Florian Menter discusses his journey in the field of computational fluid dynamics (CFD) and the development of the K-Omega SST model. He shares his experiences working at NASA Ames and the collaborative environment in the CFD community. Florian also talks about his decision to return to Germany and his role in the early days of what would be become ANSYS. Florian Menter discusses the birth and development of the SST turbulence model, the challenges of transition modeling, and the future of RANS models. He also explores the potential of machine learning in CFD and shares advice for young researchers.
Chapters
05:00 Introduction and Background
06:24 Journey to CFD and the K-Omega SST Model
11:19 Working at NASA Ames
18:12 Collaboration and Competition in Turbulence Modeling
24:33 Reception and Implementation of the K-Omega SST Model
31:07 Life in California and Decision to Leave
35:27 Transition to Advanced Scientific Computing
41:13 Acquisition by Ansys and Integration
44:38 Focus on Transition Modeling
45:55 The Birth of an Idea
46:53 Recognizing the Key Element
47:32 Seeking Funding and Collaboration
48:27 The Development of the Gamma-Theta Model
49:26 The Challenges of Transition Modeling
50:25 Applications of the Gamma-Theta Model
51:15 Balancing Openness and Commercialization
53:40 The Slow Pace of Improvement in RANS Models
54:04 The Future of RANS Models
56:36 The Shift towards Scale-Resolving Methods
01:00:25 The Challenges of High-Speed Flows
01:01:19 Wall-Function LES vs Wall-Modeled LES
01:04:01 The Uncertain Future of CFD
01:06:17 The Potential of Machine Learning in CFD
01:12:02 The Future of CFD in 35 Years
01:14:37 Advice for Young Researchers
You can also listen on Spotify here: open.spotify.com/show/4muRLrJ...