Flow Control: Drag Reduction I
ORAL · T17 · ID: 679629
Presentations
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Active gas replenishment for super-hydrophobic surface by porous material and gas injection
ORAL
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Presenters
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Jordan Breveleri
University of Massachusetts Dartmouth
Authors
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Jordan Breveleri
University of Massachusetts Dartmouth
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Hangjian Ling
University of Massachusetts Dartmouth
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Shabnam Mohammadshahi
University of Massachusetts Dartmouth
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Direct Numerical Simulation of Microbubble Drag Reduction on Superhydrophobic Surface based on Nek5000
ORAL
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Publication: [1] Pang, M. J., Wei, J. J., & Yu, B. (2014). Numerical study on modulation of microbubbles on turbulence frictional drag in a horizontal channel. Ocean Engineering, 81, 58-68.<br>[2] Martell, M. B., Perot, J. B., and Rothstein, J. P. (2009). Direct numerical simulations of turbulent flows over superhydrophobic surfaces. Journal of Fluid Mechanics, 620, 31-41.
Presenters
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Byeong-Cheon Kim
University of Ulsan
Authors
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Byeong-Cheon Kim
University of Ulsan
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Kyoungsik Chang
School of Mechanical Engineering, University of Ulsan, University of Ulsan
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Sang-Wook Lee
School of Mechanical Engineering, University of Ulsan, University of Ulsan
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Khanh Hoan Nguyen
University of Ulsan
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On the effective slip length of superhydrophobic surfaces in turbulent flows
ORAL
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Presenters
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Jae Sung Park
University of Nebraska, University of Nebraska–Lincoln, University of Nebraska-Lincoln, University of Nebraska - Lincoln
Authors
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Alexander J Rogge
University of Nebraska-Lincoln
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Jin Lee
Dong-A University
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Simon Song
Hanyang University
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Jae Sung Park
University of Nebraska, University of Nebraska–Lincoln, University of Nebraska-Lincoln, University of Nebraska - Lincoln
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Laminar drag reduction in surfactant-contaminated superhydrophobic channels
ORAL
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Presenters
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Samuel D Tomlinson
University of Manchester
Authors
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Samuel D Tomlinson
University of Manchester
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Frederic Gibou
University of California, Santa Barbara
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Paolo Luzzatto Fegiz
University of California, Santa Barbara, University of California, Santa Barbra
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Fernando Temprano-Coleto
Princeton University
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Oliver E Jensen
University of Manchester
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Julien R Landel
Univ of Manchester, University of Manchester
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Direct numerical simulation to survey the effect of air layer on drag reduction of channel flow with the superhydrophobic surface.
ORAL
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Publication: 1 Michael B. Martell, Jonathan P. Rothstein, and J. Blair Perot, "An analysis of superhydrophobic turbulent drag reduction mechanisms using direct numerical simulation," Phys. Fluids 22, 065102 (2010).<br>2 Michael B. Martell, Jonathan P. Rothstein, and J. Blair Perot, "Direct numerical simulation of turbulent flows over superhydrophobic surfaces," J. Fluid Mech. 620, 31 (2009).<br>3 Jongmin Seo and Ali Mani, "Effect of texture randomization on the slip and interfacial robustness in turbulent flows over superhydrophobic surfaces," Phys. Rev. Fluids 3, 044601 (2018).<br>4 Jongmin Seo, R.Garrcia-Mayoral, Ali Mani, "Turbulent flow over superhydrophobic surfaces flow-induced capillary waves, and robustness of air-water interfaces," J. Fluid Mech. 835, 45 (2017).<br>5 Jongmin Seo and Ali Mani, "On the scaling of the slip velocity in turbulent flows over superhydrophobic surfaces," Phys. Fluids 28, 025110 (2016).<br>6 Robert D.Moser, John Kim, and Nagi N.Mansour, "Direct numerical simulation of turbulent channel flow up to 590 ," Phys. Fluids, 11, 943 (1999).
Presenters
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Thanh H Nguyen
Graduate school, Dept. of Mechanical Engineering, University of Ulsan
Authors
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Thanh H Nguyen
Graduate school, Dept. of Mechanical Engineering, University of Ulsan
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Kyoungsik Chang
School of Mechanical Engineering, University of Ulsan, University of Ulsan
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Sang-Wook Lee
School of Mechanical Engineering, University of Ulsan, University of Ulsan
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Water-lubricated channel flow.
ORAL
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Presenters
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Alessio Roccon
Vienna Univ of Technology
Authors
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Alessio Roccon
Vienna Univ of Technology
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Francesco Zonta
Vienna Univ of Technology, TU Wien
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Alfredo Soldati
Vienna Univ of Technology, TU Wien & University of Udine
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Active Drag Reduction in Turbulent Open Channel Flow using Deep Reinforcement Learning
ORAL
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Presenters
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Luca Guastoni
FLOW, KTH Engineering Mechanics
Authors
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Luca Guastoni
FLOW, KTH Engineering Mechanics
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Jean Rabault
Norwegian Metereological Institute
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Ali Ghadirzadeh
School Elect. Eng. and Comp. Sci., KTH
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Philipp Schlatter
KTH, FLOW, KTH Engineering Mechanics, KTH Engineering Mechanics, Royal Institute of Technology, KTH Engineering Mechanics
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Hossein Azizpour
School Elect. Eng. and Comp. Sci., KTH
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Ricardo Vinuesa
KTH, KTH Royal Institute of Technology, FLOW, KTH Engineering Mechanics
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Reduced-Order Models for Reinforcement Learning Control of Turbulent Plane Couette Flow
ORAL
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Presenters
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Alec Linot
University of Wisconsin - Madison
Authors
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Alec Linot
University of Wisconsin - Madison
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Kevin Zeng
University of Wisconsin - Madison
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Michael D Graham
University of Wisconsin - Madison
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Robust, data-efficient active flow control using embedded deep learning
ORAL
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Presenters
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Xuemin Liu
University of Notre Dame
Authors
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Xuemin Liu
University of Notre Dame
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Jonathan F MacArt
University of Notre Dame
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Input-output analysis of turbulent channel flow subject to the imperfect transverse wall oscillations
ORAL
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Presenters
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Armin Zare
University of Texas at Dallas
Authors
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Armin Zare
University of Texas at Dallas
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Seyedalireza Abootorabi
University of Texas at Dallas
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Drag-reducing flow structure modification generated by spanwise traveling surface waves
ORAL
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Publication: E. Mäteling, M. Albers, and W. Schröder. "Why spanwise travelling transversal surface waves promote drag reduction", submitted to Journal of Fluid Mechanics.
Presenters
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Esther Mäteling
RWTH Aachen University, Institute of Aerodynamics
Authors
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Esther Mäteling
RWTH Aachen University, Institute of Aerodynamics
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Marian Albers
RWTH Aachen University
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Wolfgang Schröder
RWTH Aachen University
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Decomposition of drag-reducing turbulent events into scale and quadrant contributions using Fukagata-Iwamoto-Kasagi (FIK) identity for a pipe flow with spanwise-oscillated walls
ORAL
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Presenters
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Daniel J Coxe
Arizona State University
Authors
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Daniel J Coxe
Arizona State University
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Yulia T Peet
Arizona State University
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Ronald J Adrian
Arizona State University
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