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Closed-loop separation control over a sharp edge ramp using genetic programming
- Source :
- Experiments in Fluids, Experiments in Fluids, Springer Verlag (Germany), 2016, 57 (40), ⟨10.1007/s00348-016-2126-8⟩
- Publication Year :
- 2016
- Publisher :
- Springer, 2016.
-
Abstract
- We experimentally perform open and closed-loop control of a separating turbulent boundary layer downstream from a sharp edge ramp. The turbulent boundary layer just above the separation point has a Reynolds number $Re_{\theta}\approx 3\,500$ based on momentum thickness. The goal of the control is to mitigate separation and early re-attachment. The forcing employs a spanwise array of active vortex generators. The flow state is monitored with skin-friction sensors downstream of the actuators. The feedback control law is obtained using model-free genetic programming control (GPC) (Gautier et al. 2015). The resulting flow is assessed using the momentum coefficient, pressure distribution and skin friction over the ramp and stereo PIV. The PIV yields vector field statistics, e.g. shear layer growth, the backflow area and vortex region. GPC is benchmarked against the best periodic forcing. While open-loop control achieves separation reduction by locking-on the shedding mode, GPC gives rise to similar benefits by accelerating the shear layer growth. Moreover, GPC uses less actuation energy.<br />Comment: 24 pages, 24 figures, submitted to Experiments in Fluids
- Subjects :
- Active vortex generators
Ciencias Físicas
Flow (psychology)
Computational Mechanics
FOS: Physical sciences
General Physics and Astronomy
02 engineering and technology
Vortex generator
Boundary layer thickness
01 natural sciences
[SPI.MECA.MEFL]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph]
010305 fluids & plasmas
Physics::Fluid Dynamics
symbols.namesake
0203 mechanical engineering
Parasitic drag
Feedback flow control
0103 physical sciences
Fluid Flow and Transfer Processes
Physics
Fluid Dynamics (physics.flu-dyn)
Reynolds number
Physics - Fluid Dynamics
Mechanics
Machine learning control
Vortex
Astronomía
Boundary layer
020303 mechanical engineering & transports
Feedback flow control · Turbulent boundary layer · Active vortex generators · Machine learning control · Genetic programming
Mechanics of Materials
Turbulent boundary layer
symbols
Vector field
CIENCIAS NATURALES Y EXACTAS
Subjects
Details
- Language :
- English
- ISSN :
- 07234864 and 14321114
- Database :
- OpenAIRE
- Journal :
- Experiments in Fluids, Experiments in Fluids, Springer Verlag (Germany), 2016, 57 (40), ⟨10.1007/s00348-016-2126-8⟩
- Accession number :
- edsair.doi.dedup.....8f685bf0bc04d56941bf44519f28d193