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S1, EP9 - Dr Chris Rumsey - NASA & Computational Fluid Dynamics (CFD)
Manage episode 425549540 series 3572969
A tartalmat a Neil Ashton biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Neil Ashton vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
In this episode of the Neil Ashton podcast, Neil interviews Dr. Chris Rumsey, Research Scientist at NASA Langley Research Center. Chris is one of the main CFD experts at NASA Langley is globally reconised as a leader in CFD, particularly for aeronautical applications. The conversation focuses on computational fluid dynamics (CFD) and turbulence modeling. They discuss Chris's career, his role in public dissemination of CFD methods, and his involvement in the Turbulence Modeling website. They also explore the High Lift Prediction Workshop and the role of machine learning in CFD and turbulence modeling. The conversation provides insights into working at NASA and the challenges and advancements in CFD and turbulence modeling. In this conversation, Neil and Chris Rumsey discuss the progress and challenges in solving the problem of high-lift aerodynamics in aircraft design. They explore the concept of certification by analysis and the role of computational fluid dynamics (CFD) in reducing the need for expensive wind tunnel and flight tests. They also delve into the use of machine learning in CFD and the challenges of reproducibility. The conversation then shifts to conferences, with Neil and Chris sharing their experiences and favorite events. They conclude by discussing career advice for aspiring aerospace professionals and the unique aspects of working at NASA.
00:00 Introduction to the Neil Ashton podcast
01:09 Focus on Computational Fluid Dynamics and Turbulence Modeling
06:51 Chris Rumsey's Journey to NASA
09:13 From Art to Aeronautical Engineering
13:08 Transitioning to Turbulence Modeling
15:34 The Origins of the Turbulence Modeling Website
20:40 Verification and Validation in Turbulence Modeling
24:34 The Role of Machine Learning in Turbulence Modeling
26:00 Advancements in High Lift Prediction
27:28 Challenges in High Lift Prediction
28:25 Thoughts on Working at NASA
29:42 Certification by Analysis: Reducing the Cost of Aircraft Certification
31:09 The Role of Machine Learning in CFD and Certification by Analysis
34:03 The Value of Conferences in Networking and Specialized Learning
40:30 Career Advice for Aspiring Aerospace Professionals
48:45 Curating and Documenting Knowledge in the Aerospace Community
16 epizódok
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