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An automatic mesh generation method for optimal computational fluid dynamics (CFD) analysis of a blade passage is developed using deep reinforcement learning (DRL). Unlike conventional automation techniques, which require repetitive tuning of meshing
Externí odkaz:
http://arxiv.org/abs/2402.15079
Autor:
Kang, Min Seok, Heo, Incheol, Kim, Sangyeop, Yang, Jihye, Kim, Jangbae, Min, Sun-Joon, Chae, Jonghyun, Yoo, Won Cheol
Publikováno v:
In Energy Storage Materials September 2022 50:234-242
Autor:
Yu, Jiwon, Lee, Myungsuk, Kim, Yeonseo, Lim, Hyung-Kyu, Chae, Jonghyun, Hwang, Gyeong S., Lee, Sangheon
Publikováno v:
In Journal of Power Sources 1 September 2021 505
Publikováno v:
Fluids; Sep2024, Vol. 9 Issue 9, p216, 22p
Akademický článek
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Publikováno v:
2011 12th International Conference on Electronic Packaging Technology and High Density Packaging.
Void formation mechanism was studied and so were the key factors for SMT voids. 2 kinds of solders (SAC305 & SnPb) and 2 kinds of pad finishes (ENIG and OSP) were compared. Key factors of reflow profile were also evaluated. Reflow atmosphere were eva
Publikováno v:
2011 12th International Conference on Electronic Packaging Technology & High Density Packaging (ICEPT-HDP); 2011, p1-4, 4p
Publikováno v:
2010 Proceedings 60th Electronic Components & Technology Conference (ECTC); 2010, p234-239, 6p