Analysis, prediction, and control » AI and fluid dynamics

AI and fluid dynamics(1)

Thu. Sep 21, 2023 1:30 PM - 3:30 PM room C (L0022)

Chair:Koji Fukagata(Keio University)

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1:30 PM - 1:50 PM

[C6-01] Development of a control system for generating single drops using deep learning

*Takahito Kosugi¹, Ryo Yamamoto², Kazuaki Maeda¹, Taimei Miygawa¹, Minori Shirota¹ (1. Graduate School of Science and Technology, Hirosaki University, 2. Hirosaki University, Faculty of Science and Technology)

1:50 PM - 2:10 PM

[C6-02] Thermal control of secondary flow of Prandtl's second kind in a square duct by reinforcement learning

*Takashi Mitani¹, Atsushi Sekimoto¹ (1. Okayama Univ.)

2:10 PM - 2:30 PM

[C6-03] Drag Reduction Control by Reinforcement Learning Focused on Vortical Structures based on Opposition Control

*Taisei Sato¹, Tomohiro Nimura¹, Akira Murata¹, Kaoru Iwamoto¹ (1. Tokyo University of Agriculture and Technology)

2:30 PM - 2:50 PM

[C6-04] Experiments on wake flow with a free surface and control by reinforcement learning

*Shunsuke Goda¹, Ayuri Fujishima¹, Takaya Masuda¹, Yutaro Motoori¹, Susumu Goto¹ (1. Osaka Univ.)

2:50 PM - 3:10 PM

[C6-05] Actuator placement optimization based on singular vector method in linearized Ginzburg-Landau model

*Masahito Watanabe¹, Yasuo Sasaki¹, Keigo Yamada¹, Takayuki Nagata¹, Taku Nonomura¹ (1. Tohoku University)

3:10 PM - 3:30 PM

[C6-06] Deep Reinforcement Learning-based Closed-loop Control of Flow Separation around Airfoil utilizing 3D CFD Simulation

*Naoki Takada¹, Ayano Watanabe¹, Satoshi Shimomura¹, Shuji Otomo¹, Hiroyuki Nishida¹ (1. Tokyo University of Agriculture and Technology)

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