This podcast focuses on explaining the fascinating ways that science and engineering change the world around us. In each episode, we talk to leading engineers from elite-level sports like cycling and Formula 1 to some of world's top academics to understand how fluid dynamics, machine learning & supercomputing are bringing in a new era of discovery. We also hear life stories, career advice and lessons they've learnt along the way that will help you to pursue a career in science and engineering.
This podcast focuses on explaining the fascinating ways that science and engineering change the world around us. In each episode, we talk to leading engineers from elite-level sports like cycling and Formula 1 to some of world's top academics to understand how fluid dynamics, machine learning & supercomputing are bringing in a new era of discovery. We also hear life stories, career advice and lessons they've learnt along the way that will help you to pursue a career in science and engineering.
In this episode, Professor Brian Launder (Professor at the University of Manchester and Fellow of the Royal Society and Royal Academy of Engineers) shares his remarkable journey through academia, detailing his early fascination with heat transfer, his transition to MIT, and his significant contributions to turbulence modeling and computational fluid dynamics (CFD). We touch upon the key role that Professor Brian Spalding had on his career as well as work that led to the breakthrough k-epilson turbulence model as well as the pioneering work on second-moment closure model. Prof Launder highlights the key role of collaborators and ex students such as Professors Hector Iacovides, Tim Craft, Bill Jones, Kemal Hanjalić and many more. He ends with advice for early-stage researchers and reflections on more than 50 years worth of academic research.
Chapters
00:30 Introduction
05:00 Early Academic Journey
10:06 Transition to MIT and Research Focus
16:21 Return to Imperial College and Early Career
21:06 Research Projects and PhD Students
27:46 Development of the k-epilson model
33:18 CHAM and Career Changes
36:24 Move to UC Davis and New Research Directions
44:05 Challenges and Opportunities in Research
47:07 The Interview Experience
51:14 Transition to Manchester University
52:23 Research Innovations in Turbulence Modeling
57:45 The Development of the TCL Model
01:03:15 Nonlinear Eddy Viscosity Models
01:05:58 Advanced Wall Functions and Their Applications
01:10:09 Reflections on Career and Contributions
01:15:49 Legacy and Impact on Turbulence Modeling
Top Turbulence Modelling contributions (https://scholar.google.com/citations?user=Y3JbAK8AAAAJ&hl=en)