Computational Fluid Dynamics - Milovan Perić | Podcast
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- เผยแพร่เมื่อ 1 ก.ค. 2024
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Milovan Perić studied mechanical engineering in Sarajevo and obtained PhD degree at Imperial College in London in 1985 for his work on flow computation in complex ducts using body-fitted non-orthogonal grids. He moved then to the University of Erlangen in Germany, where he continued research in computational methods for fluid flow, working on extensions to moving grids, multigrid-methods and parallel computing.
He spent one year (1992) as a visiting scholar at Stanford University, working with late professor Joel H. Ferziger, with whom he published a book on computational methods for fluid dynamics (4th English and 2nd German edition with a new co-author, professor Robert L. Street from Stanford University).
In 1993, he became professor of fluid dynamics at the former Institute of Shipbuilding in Hamburg (later merged into TU Hamburg), where he expanded his research activities to free-surface flows, fluid-structure interaction, cavitation and simulation of turbulence.
In 1997, he founded with co-workers a private company which developed and marketed a state-of-the-art CFD-code “Comet”, which had many features dedicated to naval hydrodynamics. The company and the code were sold to CD-adapco in 2002 and professor Perić with most of his team left university to work on further software development.
At CD-adapco professor Perić held positions of the director of software development, director of technology and lastly vice president of technology. In 2014, he started an independent consulting business but continued to work mostly for CD-adapco and, after it was taken over by Siemens in 2016, for the new owner.
In 2016 he was elected member of the Faculty of Engineering at the University of Duisburg-Essen (without employment), teaching applied CFD and supporting professor Bettar el Moctar at the Institute of Ship Technology, Ocean Engineering and Transport Systems.
He has published as author or co-author over 200 papers and several chapters in edited books.
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TIME STAMPS
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0:00 : Intro
3:57 : What to do when unsure?
5:34 : Balance work and personal life
7:40 : Work-Life Balance
10:40 : Milvan's CFD Book - Extrinsic vs. Intrinsic Motivation
13:06 : What has Milovan learned from Joel
15:42 : Old vs. New CFD
25:35 : AI in CFD
29:51 : Why experiments are necessary
34:55 : How to approach a CFD problem
40:11 : Most difficult CFD problem Milovan solved
48:45 : How to become a great CFD Engineer
53:11 : What does Milovan nowadays?
57:12 : The Future of CFD
1:03:58 : Does Milovan has a 6th CFD Sense?
1:07:46 : 1. What is Milovan most proud of?
1:07:54 : 2. Is he a turbulent person?
1:08:03 : 3. Who's your biggest inspiration?
1:08:13 : 4. Best Mentor he ever had
1:08:23 : 5. Best Tip to Work on a Hard Task Productively
1:09:22 : 6. Favorite Operating System
1:09:42 : 7. If Milovan Could Spend 1 Day with a Celebrity - Who Would it Be?
1:10:48 : 8. Favorite App on His Phone
1:11:23 : 9. Most Favorite Paper He Published
1:11:34 : 10. Favorite Programming Language
1:12:02 : 11. Favorite Movie
1:12:24 : 12. Favorite CFD Program
1:12:36 : 13. What's the first question he would ask AGI
1:12:58 : 14. One Superpower He Would Like to Have
1:13:28 : 15. If You Were a Superhero, What Would Your Name Be?
Podcast Recorded: April, 28th 2023 - Subscriber Release Count: 24,523.
One of the best CFD podcasts out there. Thank you Jousef!
Hvala Milovane, legendo!
Thanks for watching! And feel free to share it with other CFD enthusiasts :)
Th only genuine podcasts we need in ths era👌🏻 Applaud to your work
Thanks a lot! Appreciate the support :)
It was very motivating and I learned that How simplicity and clarity in thinking can dominate any complexity.... And really looking forward to hear more about CFD and methodologies.... It was great experience listening to this podcast.. keep bringing such brilliant minds in CFD cause we hardly get listen to such experts. Very good initiative ... Thanks !!!
Thanks Jousef, for bringing such an excellent podcast👏. It's really pleasant to listen and understand their view on CFD. Keep bringing such personality👍👍. I am really waiting for Milovan's lecture series on his book🤞.
Jousef, muchas Gracias. Such a valuable person on your channel and such a nice guy. Thanks to you Milovan for your fruitful insight to your valuable life.
I was listening to the whole podcast carefully and there are so many smart sayings from you. You are a very nice person and I find a lot of similarities to my life.
Thanks so much Tobi! Glad you enjoyed it 🙂
This was amazing. Thanks Jousef and thanks Milovan. I would love a second part with more anecdotes!
I’ll let Milovan know! 🙂
Thanks for watching.
Always excellent to hear Prof. Peric. I have taken CFD course as one of his student and consider myself fortunate to work with him on my master thesis project. Learned a lot from him in CFD. Amazing Podcast... Looking forward for more podcasts...
Thanks bud 🙂
What a fantastic conversation, It would be great to have some CFD training courses from Prof. Perić. Thanks for this content Jousef!
Thanks for the nice feedback 🙂
Very insightful and delightful. One of those best episodes in this podcast
Thanks a lot! 🙂
that's a great one, really enjoyed it and I really hope a part two would come around soon with more examples of challenges prof Milovan faced as the solving methodology in the yacht problem was really fascinating.
a very fruitful podcast
Thanks a lot for the feedback! ♥️
So far the most interesting guest in my opinion! Milovan Perić is Tesla of CFD !
Indeed!
👉 Milovan's Applied Computational Fluid Dynamics Course: imp.i384100.net/Qyj5Do
🌎 Simcenter Engineering: go.sw.siemens.com/t8yIbf9f
🌎Newsletter: jousef.substack.com/
yes I would love the online course.
What a wonderful podcast
Thanks mate 🙂
Please do more talks about real life simulations, problems and experiences
Hi Jousef, excellent podcast... I am new to the field of CFD, though I decently understand well Fluid mechanics and theory of CFD..I have no coding skills, so I have been struggling hard...what should I do?? Take a basic programming course, or straightway try matlab/python for numerical methods or CFD problems??
57:06 please please do the course. I’m sure it would help lots of students and professionals
🙏
i think this en.wikipedia.org/wiki/Hp-FEM has a automatic grid size adaptivity. It's base on a constant grid error to determine when to subdivide a grid. So area with higher non-linearity get more cell division than steady linear area (cells get merged instead)