Control of turbulent boundary layers

By John Kim. 2003

228 citations recorded by the source corpus.

Subfields: Computational Mechanics, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/a7ea23638d17d9ecd503828a298270b4356ebf20

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In Computational Mechanics

In Mechanical Engineering

Citations in the corpus

Machine Learning Control – Taming Nonlinear Dynamics and Turbulence (2016, background): “For example, in fluid dynamics there are numerous success stories of linear model-based flow control, including transition delay in a spatially developing boundary layer on a flat plate and in channel flow [29, 136, 135, 63, 142, 13, 11, 12, 244, 245, 101], reducing skinfriction drag in wall turbule”
Drag and lift reduction of a 3D bluff body using flaps (2008, background): “In consequence we are not concerned with the control of wall turbulence (Lumley and Blossey 1998; Choi et al. 1994; Kim 2003) but with the control of separation and large coherent structures (Simpson 1989; Gad-El-Hak and Bushnell 1991; Greenblatt and Wygnanski 2000).”
Streamwise-travelling waves of spanwise wall velocity for turbulent drag reduction (2009, background): “Another useful classification is between closed-loop strategies (requiring a control law with feedback) and simpler open-loop techniques: the review by Kim (2003) discusses the former group, whereas the present work is concerned with the latter.”
Optimal growth, model reduction and control in a separated boundary-layer flow using global eigenmodes (2007, background): “Linear optimal control theory has been introduced for flow systems governed by linear instability mechanisms (Bewley & Liu 1998), such as for instance spatially developing boundary layers (Högberg & Henningson 2002) and it may also be relevant for nonlinear flows, such as turbulent boundary layers (”
Closed-loop control of an open cavity flow using reduced-order models (2009, background): “Over the past years the control of fluid flow has come to prominence as a new and promising subject that combines our understanding of the dynamics of a fluid system with techniques to manipulate it (Bewley 2001; Kim 2003; Kim & Bewley 2007).”
Effect of Roughness on Wall-Bounded Turbulence (2004, background): “This has an important implication for turbulent boundary layer control: one can continue aiming at suppressing or reducing the linear mechanism due to the coupling term in designing a robust controller for drag reduction in rough-wall turbulent boundary layers, as was shown for the smooth-wall bound”
New Answers on the Interaction Between Polymers and Vortices in Turbulent Flows (2005, background): “Among the many strategies employed for drag reduction in wall-bounded flows [9, 18], polymer additives are the most efficient, yet the most intricate.”
Componentwise energy amplification in channel flows (2005, background): “Indeed, other researchers (Bewley & Liu 1998; Lee et al. 2001; Kim 2003; Högberg et al. 2003a, b) have been successful in designing linear controllers based on these methods for either linearized or nonlinear flow dynamics in direct numerical simulations (DNS).”
Frictional drag reduction by bubble injection (2014, unknown): “super hydrophobic surface into the wall boundary layer was proposed by Lee and Kim (2011). Once the wall structure is allowed to change, stationary arrangement of bubbles in”
Drag and lift reduction of a 3D bluff-body using active vortex generators (2010, background): “The consequence is that the control of wall turbulence (Bewley et al. 2001; Kim 2003) has rarely been tested in automotive aerodynamics compared to the control of separation and large coherent structures (Gad-El-Hak and Bushnell 1991; Greenblatt and Wygnanski 2000).”
Direct numerical simulation of spatially developing turbulent boundary layers with uniform blowing or suction (2011, background): “† Email address for correspondence: kametani@fukagata.mech.keio.ac.jp Most of the previous numerical studies on friction drag reduction have dealt with internal flows, such as channel flows (see e.g. Kim 2003; Kim & Bewley 2007; Kasagi et al. 2009 and references therein).”