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S3 EP6 Prof. Brian Launder - CFD and Turbulence Modelling Pioneer

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Manage episode 509297615 series 3572969
Content provided by Neil Ashton. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Neil Ashton or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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)

  continue reading

Chapters

1. S3 EP6 Prof. Brian Launder - CFD and Turbulence Modelling Pioneer (00:00:00)

2. Introduction (00:00:30)

3. Early Academic Journey (00:05:00)

4. Transition to MIT and Research Focus (00:10:06)

5. Return to Imperial College and Early Career (00:16:21)

6. Research Projects and PhD Students (00:21:06)

7. Development of the k-epilson model (00:27:46)

8. CHAM and Career Changes (00:33:48)

9. Move to UC Davis and New Research Directions (00:36:24)

10. Challenges and Opportunities in Research (00:44:05)

11. The Interview Experience (00:47:05)

12. Transition to Manchester University (00:51:04)

13. Research Innovations in Turbulence Modeling (00:52:23)

14. The Development of the TCL Model (00:57:45)

15. Nonlinear Eddy Viscosity Models (01:03:15)

16. Advanced Wall Functions and Their Applications (01:05:18)

17. Reflections on Career and Contributions (01:10:19)

18. Legacy and Impact on Turbulence Modeling (01:15:19)

32 episodes

Artwork
iconShare
 
Manage episode 509297615 series 3572969
Content provided by Neil Ashton. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Neil Ashton or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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)

  continue reading

Chapters

1. S3 EP6 Prof. Brian Launder - CFD and Turbulence Modelling Pioneer (00:00:00)

2. Introduction (00:00:30)

3. Early Academic Journey (00:05:00)

4. Transition to MIT and Research Focus (00:10:06)

5. Return to Imperial College and Early Career (00:16:21)

6. Research Projects and PhD Students (00:21:06)

7. Development of the k-epilson model (00:27:46)

8. CHAM and Career Changes (00:33:48)

9. Move to UC Davis and New Research Directions (00:36:24)

10. Challenges and Opportunities in Research (00:44:05)

11. The Interview Experience (00:47:05)

12. Transition to Manchester University (00:51:04)

13. Research Innovations in Turbulence Modeling (00:52:23)

14. The Development of the TCL Model (00:57:45)

15. Nonlinear Eddy Viscosity Models (01:03:15)

16. Advanced Wall Functions and Their Applications (01:05:18)

17. Reflections on Career and Contributions (01:10:19)

18. Legacy and Impact on Turbulence Modeling (01:15:19)

32 episodes

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