TY - GEN
T1 - Turbulent Friction Drag Reduction
T2 - 5th Symposium on Fluid-Structure-Sound Interactions and Control, FSSIC 2019
AU - Fukagata, Koji
N1 - Funding Information:
The author thanks the former and current students at Keio University and all the collaborators involved in the studies introduced here. These studies were supported through JSPS KAKENHI grant numbers 25420129, JP16K06900 and JP18H03758 by the Japan Society for the Promotion of Science (JSPS).
Funding Information:
Acknowledgements The author thanks the former and current students at Keio University and all the collaborators involved in the studies introduced here. These studies were supported through JSPS KAKENHI grant numbers 25420129, JP16K06900 and JP18H03758 by the Japan Society for the Promotion of Science (JSPS).
Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2021
Y1 - 2021
N2 - We overview the recent attempts for turbulent friction drag reduction and related studies, by focusing on those conducted in our research group. While the earlier studies for friction drag reduction mainly targeted at suppression of quasi-streamwise vortices using feedback control, predetermined control methods using streamwise traveling waves or a uniform blowing have also been extensively investigated in the last decade. For both the streamwise traveling wave of wall deformation and the uniform blowing, their drag reduction capabilities have been confirmed well by direct numerical simulation at relatively low Reynolds numbers. Prediction of their drag reduction capabilities at higher Reynolds numbers and attempts for experimental confirmation are also intensively ongoing toward their practical implementation. We also introduce our practice on the application of resolvent analysis for designing a more effective feedback control law. In addition, we briefly introduce some recent attempts on the applications of machine learning to turbulent flows, which may be utilized for a better design of flow control in future.
AB - We overview the recent attempts for turbulent friction drag reduction and related studies, by focusing on those conducted in our research group. While the earlier studies for friction drag reduction mainly targeted at suppression of quasi-streamwise vortices using feedback control, predetermined control methods using streamwise traveling waves or a uniform blowing have also been extensively investigated in the last decade. For both the streamwise traveling wave of wall deformation and the uniform blowing, their drag reduction capabilities have been confirmed well by direct numerical simulation at relatively low Reynolds numbers. Prediction of their drag reduction capabilities at higher Reynolds numbers and attempts for experimental confirmation are also intensively ongoing toward their practical implementation. We also introduce our practice on the application of resolvent analysis for designing a more effective feedback control law. In addition, we briefly introduce some recent attempts on the applications of machine learning to turbulent flows, which may be utilized for a better design of flow control in future.
KW - Drag reduction
KW - Flow control
KW - Turbulent flow
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U2 - 10.1007/978-981-33-4960-5_56
DO - 10.1007/978-981-33-4960-5_56
M3 - Conference contribution
AN - SCOPUS:85106404830
SN - 9789813349599
T3 - Lecture Notes in Mechanical Engineering
SP - 375
EP - 384
BT - Fluid-Structure-Sound Interactions and Control - Proceedings of the 5th Symposium on Fluid-Structure-Sound Interactions and Control
A2 - Braza, Marianna
A2 - Hoarau, Yannick
A2 - Zhou, Yu
A2 - Lucey, Anthony D.
A2 - Huang, Lixi
A2 - Stavroulakis, Georgios E.
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 27 August 2019 through 30 August 2019
ER -