Drag reduction by use of MHD boundary-layer control (Submerged vehicle drag reduction and turbulence transition damping by MHD boundary layer control, using Lorentz force and optimum magnetic field)

1971 ◽  
Vol 5 (4) ◽  
pp. 150-152
Author(s):  
GORDON F. ANDERSON ◽  
YUNG-KUANG WU
Keyword(s):  
Magnetic Field ◽  
Boundary Layer ◽  
Drag Reduction ◽  
Lorentz Force ◽  
Boundary Layer Control ◽  
Turbulence Transition ◽  
Mhd Boundary Layer ◽  
Layer Control

Drag Reduction by Use of MHD Boundary-Layer Control

1971 ◽  
Vol 5 (4) ◽  
pp. 150-152 ◽  
Author(s):  
GORDON F. ANDERSON ◽  
YUNG-KUANG WU
Keyword(s):  
Boundary Layer ◽  
Drag Reduction ◽  
Boundary Layer Control ◽  
Mhd Boundary Layer ◽  
Layer Control

Turbulent boundary layer control utilizing the Lorentz force

2000 ◽  
Vol 12 (3) ◽  
pp. 631-649 ◽  
Author(s):  
Timothy W. Berger ◽  
John Kim ◽  
Changhoon Lee ◽  
Junwoo Lim
Keyword(s):  
Boundary Layer ◽  
Turbulent Boundary Layer ◽  
Lorentz Force ◽  
Boundary Layer Control ◽  
Layer Control

Physics and control of wall turbulence for drag reduction

2011 ◽  
Vol 369 (1940) ◽  
pp. 1396-1411 ◽  
Author(s):  
John Kim
Keyword(s):  
Boundary Layer ◽  
Drag Reduction ◽  
Skin Friction ◽  
Linear Analysis ◽  
Wall Turbulence ◽  
Boundary Layer Control ◽  
Control Input ◽  
Friction Drag ◽  
Nonlinear Simulations ◽  
Layer Control

Turbulence physics responsible for high skin-friction drag in turbulent boundary layers is first reviewed. A self-sustaining process of near-wall turbulence structures is then discussed from the perspective of controlling this process for the purpose of skin-friction drag reduction. After recognizing that key parts of this self-sustaining process are linear, a linear systems approach to boundary-layer control is discussed. It is shown that singular-value decomposition analysis of the linear system allows us to examine different approaches to boundary-layer control without carrying out the expensive nonlinear simulations. Results from the linear analysis are consistent with those observed in full nonlinear simulations, thus demonstrating the validity of the linear analysis. Finally, fundamental performance limit expected of optimal control input is discussed.

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