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Fluid Mechanics
LaboratoryUniversity of Kentucky
Active Control of Separation on a Wing with Conformal Camber
David Munday and Jamey JacobDepartment of Mechanical Engineering
University of Kentucky8 January 2001
The 39th Aerospace Sciences Meeting and ExhibitAmerican Institute of Aeronautics and Astronautics
Fluid Mechanics
LaboratoryUniversity of Kentucky
Outline
• Motivation
• Flow Control
• Adaptive Airfoils
• Adaptive Wing Model
• Experimental results
• Conclusions
• Further work
Fluid Mechanics
LaboratoryUniversity of Kentucky
Motivation
• μAVs
Re = 104 - 105
• UAVs
Re = 105 - 106
• High Altitude
• Other
atmospheres (Mars)
Fluid Mechanics
LaboratoryUniversity of Kentucky
Airfoil Performance
• L/D reduced by more than an order of magnitude as Re
falls through 105
Figure from McMasters and Henderson
Fluid Mechanics
LaboratoryUniversity of Kentucky
Laminar Separation Bubble
• Adverse Pressure gradient on a laminar flow causes separation
• Transition occurs. Fluid is entrained and turbulent flow re-attaches
Figure from Lissaman
Fluid Mechanics
LaboratoryUniversity of Kentucky
Flow Control
• Any method which can modify the flow
• Can be passive or active
– Active flow control can respond to changes in conditions
– Requires energy input
• Active flow control is not a mature technology
• Shows promise
Fluid Mechanics
LaboratoryUniversity of Kentucky
Active Flow Control
• Constant sucking or blowing
• Intermittent sucking and blowing (synthetic jets)
– Wygnanski, Glezer
– Suggests existence of “sweet spots” in frequency range
• Mechanical momentum transfer
– Modi, V. J.
• Change of the shape of the wing (Adaptive Airfoils)
Fluid Mechanics
LaboratoryUniversity of Kentucky
Adaptive Airfoils
• Can change shape to adapt to flow
• Simple examples: Flaps, Slats, Droops
– Move slowly, quasi-static
– Change shape parameter (usually camber) to adapt to differing
flight regimes
• Rapid Actuation
– Can adapt to rapid changes in flow condition
– May produce the same sort of “sweet spot” frequency response as
synthetic jets
Fluid Mechanics
LaboratoryUniversity of Kentucky
Some Adaptive Wing Research
• DARPA smart wing
– torsion control of entire wing using internal actuators
• DDLE wing
– rapid change in leading edge radius using mechanical actuator
• micro Flaps - MITEs (Kroo et. al.)
– multiple miniature trailing edge flaps with fixed displacement
Fluid Mechanics
LaboratoryUniversity of Kentucky
Piezoelectric Actuation
• Rapid actuation requires either large forces or light
actuators
• Piezo-actuators are small and light
• They are a natural choice for μAV designs
Fluid Mechanics
LaboratoryUniversity of Kentucky
Previous Work
• Pinkerton and MosesA Feasibility Study To Control Airfoil Shape Using THUNDER, NASA TM 4767
Fluid Mechanics
LaboratoryUniversity of Kentucky
Adaptive Wing Construction
• NACA 4415
– well measured, room for internal actuator placement
• Modular (allows variation in aspect ratio)
• Multiple independent
actuators
• Flexible insulating
layer and skin
Fluid Mechanics
LaboratoryUniversity of Kentucky
Adaptive Wing Construction
• Airfoil Profiles
– predicted prior to construction using given actuator placement
and full range of actuator motion
– actuator displacement increases maximum thickness and moves
point of maximum thickness aft
Fluid Mechanics
LaboratoryUniversity of Kentucky
Wing Construction
Base 4415
With Cutout
With mount-block
With Actuator
With spars
Fluid Mechanics
LaboratoryUniversity of Kentucky
Adaptive Wing Module
• A Single Module
Fluid Mechanics
LaboratoryUniversity of Kentucky
Testing Overview• Static model force measurements
– L/D enhancement using fixed actuator locations
• Static model PIV
– separation control using fixed actuator locations
• Dynamic model force measurements
– L/D enhancement using oscillating actuator motion
• Dynamic model Flow Visualization
– flow control using oscillating actuator motion
Fluid Mechanics
LaboratoryUniversity of Kentucky
Static Model Force Measurements
Corrected for Blockage as per Barlow, Rae and Pope, 1999
• Wind tunnel tests
– L/D declines as actuator displacement decreases then increases as
maximum displacement is reached at high AoA
Fluid Mechanics
LaboratoryUniversity of Kentucky
Static Model PIV
Separation
Fluid Mechanics
LaboratoryUniversity of Kentucky
Dynamic Model
• Oscillating upper surface– scanning LDS at 1 inch/sec with 1 Hz oscillation
Plot of displacement -vs- time as a distance transducer scans the model. Oscillations can be seen.
Units are mV -vs- seconds.
Fluid Mechanics
LaboratoryUniversity of Kentucky
Dynamic Model Force Measurements
• So far we have only tested at a Re of 25,000
• At this Re the forces are quite light
• They are lost in the noise
• We expect to have force measurements for higher Re
• Present model has protrusions on lower surface where the
skin attaches
• Next generation model will have the attachment hardware
recessed
Fluid Mechanics
LaboratoryUniversity of Kentucky
Dynamic Model Flow Visualization
• Flow Visualization is by the smoke wire technique
– As described in Batill and Mueller (1981)
– A wire doped with oil is stretched across the test section
– The wire is heated by Joule heating and the oil evaporates making
smoke trails
• Limited to low Re
– Limit due to requirement for laminar flow over wire
– Limited to a wire diameter based Red < 50
Fluid Mechanics
LaboratoryUniversity of Kentucky
Dynamic Model Flow Visualizationα = 0˚
Actuator Fixed
Actuation 15 Hz
Fluid Mechanics
LaboratoryUniversity of Kentucky
Dynamic Model Flow Visualizationα = 9˚
Actuator Fixed
Actuation 45 Hz
Fluid Mechanics
LaboratoryUniversity of Kentucky
Conclusions
• Large static displacement of the actuator shows some
improvement in L/D
• Oscillation of the actuator has a pronounced effect on the
size of the separated flow
• The response to this oscillation does show a “sweet spot”
where separation is reduced maximally
– 15 Hz for 0˚
– 20 to 60 Hz for 9˚ with a maximum at 45 Hz
Fluid Mechanics
LaboratoryUniversity of Kentucky
Further Work
• Expand the range of Re
• Force measurements of Dynamic Mode
– effect on L/D
• PIV measurements of Dynamic Mode
– flow control
• Phase average PIV data
• Examine behavior with artificial turbulation
• Compare gains in performance with power required
Fluid Mechanics
LaboratoryUniversity of Kentucky
Questions?