andreas krumbein > 14. november 2007 13. stab-workshop, dlr-göttingen, slide 1 automatic...
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13. STAB-Workshop, DLR-Göttingen, Slide 1Andreas Krumbein > 14. November 2007
Automatic Transition Prediction in the DLR TAU Code - Current Status of Development and Validation
Automatische Transitionsvorhersage im DLR TAU Code Status der Entwicklung und Validierung
Andreas KrumbeinGerman Aerospace Center, Institute of Aerodynamics and Flow Technology, Numerical Methods
Normann KrimmelbeinTechnical University of Braunschweig, Institute of Fluid Mechanics, Aerodynamics of Aircraft
Géza SchraufAirbus
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13. STAB-Workshop, DLR-Göttingen, Slide 2Andreas Krumbein > 14. November 2007
Outline
Outline
Introduction
Different Coupling Approaches
Transition Prediction Coupling Structure
Computational Results2D two-element configuration2D three-element configuration3D generic aircraft configuration (very brief)
Conclusion & Outlook
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13. STAB-Workshop, DLR-Göttingen, Slide 3Andreas Krumbein > 14. November 2007
Introduction
Introduction
Background of considering transition in RANS-based CFD toolsBetter numerical simulation results
Capturing of physical phenomena, which were discounted otherwise
Quantitatively, sometimes even qualitatively the results can differ significantly w/o transition
Influence on lift and drag, pressure and skin friction distribution
Long term requirement from research organisations and industryPossibility of general transition prescription Some kind of transitional flow modellingTransition predictionAutomatically: no intervention by the code user Autonomously: as little additional information as possibleMulti-element wing configurations
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13. STAB-Workshop, DLR-Göttingen, Slide 4Andreas Krumbein > 14. November 2007
Introduction
Introduction
Main objectives of the functionality todayImproved simulation of interaction between transition and separation
Exploitation of the full potential of advanced turbulence models
Applications areas todayEU- and DLR-Projects
INROS (Design of helicopter airfoils)SIMCOS (Dynamic Stall)iGREEN (Shock buffet of laminar wings)TELFONA (N factors of ETW)
Design of high lift systems with long laminar boundary layers (EL II)Cruise configurations (Lufo IV-Aeronext, Wing stall investigation) Performance of sailplanes (laminar length on fuselage up to 20%)Future laminar wing of a transport aircraft
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13. STAB-Workshop, DLR-Göttingen, Slide 5Andreas Krumbein > 14. November 2007
Different coupling approaches:
RANS solver + stability code + eN method
RANS solver + boundary layer code + stability code + eN method
RANS solver + boundary layer code + eN database method(s)
RANS solver + transition closure model or transition/turbulence model
Approaches
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13. STAB-Workshop, DLR-Göttingen, Slide 6Andreas Krumbein > 14. November 2007
Different coupling approaches:
RANS solver + stability code + eN method
RANS solver + boundary layer code + stability code + eN method
RANS solver + boundary layer code + eN database method(s)
RANS solver + transition closure model or transition/turbulence model
Approaches
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13. STAB-Workshop, DLR-Göttingen, Slide 7Andreas Krumbein > 14. November 2007
Different coupling approaches:
RANS solver + stability code + eN method
RANS solver + boundary layer code + fully automated stability code + eN method
RANS solver + boundary layer code + eN database method(s)
RANS solver + transition closure model or transition/turbulence model
Approaches
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13. STAB-Workshop, DLR-Göttingen, Slide 8Andreas Krumbein > 14. November 2007
Different coupling approaches:
RANS solver + fully automated stability code + eN method
RANS solver + boundary layer code + fully automated stability code + eN method
RANS solver + boundary layer code + eN database method(s)
RANS solver + transition closure model or transition/turbulence model
2
1
3
future
Approaches
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13. STAB-Workshop, DLR-Göttingen, Slide 9Andreas Krumbein > 14. November 2007
Structure
cycle = kcyc
external BL approach
Transition Prediction Coupling Structure
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13. STAB-Workshop, DLR-Göttingen, Slide 10Andreas Krumbein > 14. November 2007
cycle = kcyc
cycle = kcyc
Structure
external BL approach
internal BL approach
Transition Prediction Coupling Structure
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13. STAB-Workshop, DLR-Göttingen, Slide 11Andreas Krumbein > 14. November 2007
Transition prediction moduleStructure
transition module• line-in-flight cuts or• inviscid stream lines
• cp-extraction or• lam. BL data from RANS grid
• lam. BL code COCO• swept, tapered conical flow, 2.5d• streamline-oriented• external code
• local lin. stability code LILO• eN method for TS & CF• external code
or
• eN database methods• one for TS & one for CF• external codes
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13. STAB-Workshop, DLR-Göttingen, Slide 12Andreas Krumbein > 14. November 2007
Transition prediction moduleStructure
transition module• line-in-flight cuts or• inviscid stream lines
• cp-extraction or• lam. BL data from RANS grid
• lam. BL code COCO• swept, tapered conical flow, 2.5d• streamline-oriented• external code
• local lin. stability code LILO• eN method for TS & CF• external code
or
• eN database methods• one for TS & one for CF• external codes
RANS infrastructure
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13. STAB-Workshop, DLR-Göttingen, Slide 13Andreas Krumbein > 14. November 2007
Possible combinations currently availableStructure
transition module• line-in-flight cuts or• inviscid stream lines
• cp-extraction or• lam. BL data from RANS grid
• lam. BL code COCO• swept, tapered conical flow, 2.5d• streamline-oriented• external code
• local lin. stability code LILO• eN method for TS & CF• external code
or
• eN database methods• one for TS & one for CF• external codes
2D
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13. STAB-Workshop, DLR-Göttingen, Slide 14Andreas Krumbein > 14. November 2007
Possible combinations currently availableStructure
transition module• line-in-flight cuts or• inviscid stream lines
• cp-extraction or• lam. BL data from RANS grid
• lam. BL code COCO• swept, tapered conical flow, 2.5d• streamline-oriented• external code
• local lin. stability code LILO• eN method for TS & CF• external code
or
• eN database methods• one for TS & one for CF• external codes
3D
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13. STAB-Workshop, DLR-Göttingen, Slide 15Andreas Krumbein > 14. November 2007
Structure
Application areas
• 2d airfoil configurations• 2.5d wing configurations: inf. swept• 3d wing configurations• 3d fuselages• 3d nacelles
• Single-element configurations• Mulit-element configurations
• Flow topologies• attached• with lam. separation:
- LS point as transition point- real stability analysis with stability code inside
bubble + many points in prismatic layer
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13. STAB-Workshop, DLR-Göttingen, Slide 16Andreas Krumbein > 14. November 2007
Structure
Application areas
• 2d airfoil configurations• 2.5d wing configurations: inf. swept• 3d wing configurations• 3d fuselages• 3d nacelles
• Single-element configurations• Mulit-element configurations
• Flow topologies• attached• with lam. separation:
- LS point as transition point- real stability analysis with stability code inside
bubble + many points in prismatic layer
streamlinesnecessary!
lam. BL data from RANS grid needed!for 3d case: for CF
128 points in wall normal direction necessary!!!
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13. STAB-Workshop, DLR-Göttingen, Slide 17Andreas Krumbein > 14. November 2007
Structure
Application areas
• 2d airfoil configurations• 2.5d wing configurations: inf. swept• 3d wing configurations• 3d fuselages• 3d nacelles
• Single-element configurations• Mulit-element configurations
• Flow topologies• attached• with lam. separation:
- LS point as transition point- real stability analysis with stability code inside
bubble + many points in prismatic layer
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13. STAB-Workshop, DLR-Göttingen, Slide 18Andreas Krumbein > 14. November 2007
Structure
Application areas
• 2d airfoil configurations• 2.5d wing configurations: inf. swept• 3d wing configurations• 3d fuselages• 3d nacelles
• Single-element configurations• Mulit-element configurations
• Flow topologies• attached• with lam. separation:
- LS point as transition point- real stability analysis with stability code inside
bubble + many points in prismatic layer
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13. STAB-Workshop, DLR-Göttingen, Slide 19Andreas Krumbein > 14. November 2007
• set stru and str
l far downstream ( start mit quasi fully-laminar conditions)
• compute flow field
• check for lam. separation in RANS grid set laminar separation points as new str
u,l
stabilization of the computation in the transient phase
• cl const. in cycles call transition module
use a.) new transition point directlyor b.) lam. separation point of BL code as approximation
• see new stru,l underrelaxed str
u,l = stru,l , 1.0 < < 1.5
damping of oscillations in transition point iteration
Structure
Algorithm
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13. STAB-Workshop, DLR-Göttingen, Slide 20Andreas Krumbein > 14. November 2007
yes
• set stru and str
l far downstream ( start mit quasi fully-laminar conditions)
• compute flow field
• check for lam. separation in RANS grid set laminar separation points as new str
u,l
stabilization of the computation in the transient phase
• cl const. in cycles call transition module
use a.) new transition point directlyor b.) lam. separation point of BL code as approximation
• see new stru,l underrelaxed str
u,l = stru,l , 1.0 < < 1.5
damping of oscillations in transition point iteration
• check convergence stru,l <
no STOP
Structure
Algorithm
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13. STAB-Workshop, DLR-Göttingen, Slide 21Andreas Krumbein > 14. November 2007
NLR 7301 with flap
gap: 2.6% cmain, cflap/cmain = 0.34
M = 0.185, Re = 1.35 x 106, = 6.0°
grid: 23,000 triangles + 15,000 quadriliterals on contour: main 250, flap 180, 36 in both prismatic layers
SAE
NTS = 9.0 (arbitrary setting)
exp. transition locations: upper main: 3.5% & flap: 66.5% lower main: 62.5% & flap: fully laminar
different mode combinations: a) laminar BL code & stability code BL mode 1 b) laminar BL inside RANS & stability code BL mode 2
2d two-element configuration:
grid: Airbus
Results
Computational Results
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13. STAB-Workshop, DLR-Göttingen, Slide 22Andreas Krumbein > 14. November 2007
Transition iteration convergence history: BL mode 1
Results
• pre-prediction phase 1,000 cycles every 20 cycles
• prediction phase starts at cycle = 1,000 every 500 cycles
• very fast convergence
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13. STAB-Workshop, DLR-Göttingen, Slide 23Andreas Krumbein > 14. November 2007
cp-field and transition points: BL mode 1Results
- all transition points up-stream of experimental values
- no separation in final RANS solution
- good approxi-mation of the measured transition points
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13. STAB-Workshop, DLR-Göttingen, Slide 24Andreas Krumbein > 14. November 2007
Transition iteration convergence history: BL mode 2, run a
Results
• pre-prediction phase 1,000 cycles every 20 cycles
• prediction phase starts at cycle = 1,000 every 1,000 cycles stops at cycle = 10,000
• no convergence• 1st numerical instability on flap induced by transition iteration• 2nd numerical instability on main induced by RANS procedure
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13. STAB-Workshop, DLR-Göttingen, Slide 25Andreas Krumbein > 14. November 2007
Transition iteration convergence history: BL mode 2, run b
Results
• pre-prediction phase 1,000 cycles every 20 cycles
• prediction phase starts at cycle = 1,000 every 500 cycles
• limited convergence• 1st numerical instability on flap remains• 2nd numerical instability on main damped by the procedure
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13. STAB-Workshop, DLR-Göttingen, Slide 26Andreas Krumbein > 14. November 2007
Transition iteration convergence history: BL mode 2, run b
Results
• pre-prediction phase 1,000 cycles every 20 cycles
• prediction phase starts at cycle = 1,000 every 500 cycles
• limited convergence• 1st numerical instability on flap remains• 2nd numerical instability on main damped faster by the procedure
new
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13. STAB-Workshop, DLR-Göttingen, Slide 27Andreas Krumbein > 14. November 2007
cp-field and transition points: BL mode 2Results
- all transition points down-stream of experimental values
- two separa-tions in final RANS solu-tion
- flap separa-tion oscilla-tion remains
- improved transition lo-cations using calibrated N factor
- individual, au-tomatic shut-down of tran-sition module necessary
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13. STAB-Workshop, DLR-Göttingen, Slide 28Andreas Krumbein > 14. November 2007
cp-field and transition points: BL mode 2Results
- all transition points down-stream of experimental values
- two separa-tions in final RANS solu-tion
- flap separa-tion oscilla-tion remains
- improved transition lo-cations using calibrated N factor N = 5.8
- individual, au-tomatic shut-down of tran-sition module necessary
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13. STAB-Workshop, DLR-Göttingen, Slide 29Andreas Krumbein > 14. November 2007
Transition iteration convergence history: BL mode 2, N = 5.8
Results
• pre-prediction phase 1,000 cycles every 20 cycles
• prediction phase starts at cycle = 1,000 every 500 cycles
• limited convergence• 1st numerical instability on flap small and acceptable• 2nd numerical instability on main NOT damped
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13. STAB-Workshop, DLR-Göttingen, Slide 30Andreas Krumbein > 14. November 2007
Results
• pre-prediction phase 1,000 cycles every 20 cycles
• prediction phase starts at cycle = 1,000 every 500 cycles
Transition iteration convergence history: BL mode 2, N = 5.8 new
• limited convergence• 1st numerical instability on flap small and acceptable• 2nd numerical instability on main smaller, but still NOT damped
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13. STAB-Workshop, DLR-Göttingen, Slide 31Andreas Krumbein > 14. November 2007
Results
• pre-prediction phase 1,000 cycles every 20 cycles
• prediction phase starts at cycle = 1,000 every 500 cycles
Transition iteration convergence history: BL mode 1, N = 5.8 new
• very fast convergence
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13. STAB-Workshop, DLR-Göttingen, Slide 32Andreas Krumbein > 14. November 2007
cp-field and transition points: BL mode 1, N = 5.8, newResults
- no separation in final RANS solution
- very good approxi-mation of the measured transition points
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13. STAB-Workshop, DLR-Göttingen, Slide 33Andreas Krumbein > 14. November 2007
M = 0.221, Re = 6.11 x 106, = 21.4°
grid 1: 22.000 points grid 2: 122.000 points, noses highly resolved
SAE
NTS = 9
prediction only on upper sides, lower sides fully laminar
exp. transition locations slat: 15% & flap: 34.5% ‘kink’ on main upper side 19%
different mode combinations:a) laminar BL code & stability code BL mode 1b) laminar BL inside RANS & stability code BL mode 2
2d three-element configuration:
Grids: J. Wild, DLR
Results
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13. STAB-Workshop, DLR-Göttingen, Slide 34Andreas Krumbein > 14. November 2007
NO separation bubbles slat separation bubble
transition locations: very good flap transition locations: very good slat good flap
the higher N, the larger the bubble
Results
grid 1 grid 2
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13. STAB-Workshop, DLR-Göttingen, Slide 35Andreas Krumbein > 14. November 2007
very small bubble
large bubble
grid 2
slat
flap
transition locations error reduction
Results
37% 83%44%
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13. STAB-Workshop, DLR-Göttingen, Slide 36Andreas Krumbein > 14. November 2007
Results
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13. STAB-Workshop, DLR-Göttingen, Slide 37Andreas Krumbein > 14. November 2007
M = 0.2, Re = 2.3x106, = – 4°, iHTP = 4°
grid: • 12 mio. points• 32 cells in prismatic layers• at HTP: 48 cells in prismatic layers
SAE
NTS = NCF = 7.0 (arbitrary setting)
transition prediction on HTP only, upper and lower sides
different mode combinations: a) laminar BL code & stability code & line-in flight cuts BL mode 1 b) laminar BL inside RANS & stability code & inviscid streamlines BL mode 2
parallel computation: either 32, 48, or 64 processes2.2 GHz Opteron Linux cluster with 328 CPUs
3D generic aircraft configuration:
Results
geometry: Airbus, grid: TU Braunschweig
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13. STAB-Workshop, DLR-Göttingen, Slide 38Andreas Krumbein > 14. November 2007
Results
• cf-distribution• wing sections( (thick white)
• skin friction lines (thin black)
BL mode 2
BL mode 1
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13. STAB-Workshop, DLR-Göttingen, Slide 39Andreas Krumbein > 14. November 2007
BL mode 2
BL mode 1
Results
• cp-distribution• transition lines( (thick red with symbols)
• skin friction lines (thin black)
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13. STAB-Workshop, DLR-Göttingen, Slide 40Andreas Krumbein > 14. November 2007
Results
• convergence of transition lines
calls at cycles: 500,
1000,1500,2000
out of 2500
• pre-pre-diction un- til cycle: 500
every 20 cycles
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13. STAB-Workshop, DLR-Göttingen, Slide 41Andreas Krumbein > 14. November 2007
Results
• convergence history of the coupled RANS computations:
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13. STAB-Workshop, DLR-Göttingen, Slide 42Andreas Krumbein > 14. November 2007
Conclusion
RANS computations with integrated transition prediction were carried out without intervention of the user.
The transition tools work fast and reliable.
Complex cases (e.g. transport aircraft) can be handled; experience up to now limited to one component of the aircraft.
Use of lam. BL code leads to fast convergence of the transition prediction iteration; not always applicable, because transition may be located significantly downstream of lam. separation; extrapolation
may help when amplified modes exist upstream of laminar separation
Use of internally computed lam. BL data can lead to numerical instabilities when laminar separations are treated
interaction between different separations can occur
interaction of separation points and transition points: oscillation of separation can lead to oscillation of transition
automatic shut down of transition iteration individually for each wing section or component of the configuration necessary
Conclusion and Outlook
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13. STAB-Workshop, DLR-Göttingen, Slide 43Andreas Krumbein > 14. November 2007
In the nearest future:
Much, much more test cases
generic aircraft case: - variation - different N factors - transition on all wings of the aircraft - inclusion of fuselagetransonic casesphysical validation, e.g. F4, F6 (AIAA drag prediction workshop) complex high lift configurations, e.g. from European EUROLIFT projects
Setup of Best Practice guidelines
Conclusion