S1, EP2 - Dr Florian Menter - CFD Turbulence Modelling Pioneer скачать в хорошем качестве

S1, EP2 - Dr Florian Menter - CFD Turbulence Modelling Pioneer

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. Spotify version: https://open.spotify.com/episode/3n8Y... Apple version: https://podcasts.apple.com/gb/podcast... 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: https://open.spotify.com/show/4muRLrJ... #fluidmechanics #ansys #ansysfluent #turbulence #cfd #neilashton #rans