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7/30/2019 3C1futur Flutter Free Turbomachinery Blades
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Aero Days 2011, Madrid .
FUTUREFlutter-Free Turbomachinery Blades
Torsten Fransson, KTH
Damian Vogt, KTH
2011-03-31
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RR Trent 1000
A Typical Turbomachine
Picture courtesy of RR
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What is it flutter?
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Blades oscillate in traveling wave mode
Neighbor blades usually lead to instability
An isolated blade would not flutter
Turbomachinery Flutter
Flutter denotes a self-excited and self-sustainedaeroelastic instabilityVery harmful unless properly damped
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Why do turbomachinery blades flutter?
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Underlying Mechanisms
Flutter involves the interaction offluid and structureUpon the motion of a component, the surrounding fluid will
respond with an aerodynamic force
The direction and phase of this force will lead to having themotion damped or augmented
In case of augmentation, flutter will establish
The character of the fluid response depends on manyfactors such asGeometrical aspects (i.e. profile shape, blade size, blade count)
Operating point (idle, take-off, cruise)
Ambient conditions (air temperature, etc)
Dynamics (engine acceleration, deceleration)
Flutter might establish only at very few of the aboveconditions. Due to its harmful character it must howeverbe avoided at any cost
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How can we ensure flutter-free
turbomachinery blades?
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Flutter-Free Turbomachinery Blades
A good design does not flutter
How to ensure a good design?Design for stability performing accurate predictions of the
unsteady behavior of the structural dynamics (FEM) andaerodynamics (CFD) in a turbomachine
Ensure large-enough stability limits (i.e. moderate changes inoperating conditions, profile shape, etc will not directly leadto a flutter instability)
A good design must also be economically viableEngine development costs and time
Fulfilling other objectives such as performance, weight,
manufacturing cost, maintainability etc
During component design, industry nowadays largelyrelies on numerical simulations at affordable analysiscosts (model size and run time)
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How well are we to date doing on
aeroelastic predictions?
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Prediction Accuracy
Test case: transonic compressorEach industry partner is using their own (trusted) aeroelastic
analysis tool to analyze the aeroelastic behavior
Variation of minimum aerodynamic damping with operatingpoint
mass flow
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Background
Despite the high level of sophistication in todaysnumerical prediction tools, it is not uncommon that wehave to deal with an accuracy of+-40% of predictedminimum aerodynamic dampingIn the present test case: 2 out of 5 predict flutter, 3 do not
Test cases exist but these do not fully cover the spectrumneeded for modern turbomachine designsComponent types (blisks, bladed disks)
Flow conditions (transonic flow, high loading, separations)
Combinations of unsteady pressure and vibration data
This empty spot shall be filled-in by the FUTURE projectEstablishing ofnew experimental test cases
Extensive validation of state-of-the-art prediction tools
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Flutter-Free Turbomachinery Blades
www.future-project.eu
Presentation of FUTURE Project
http://www.future-project.eu/http://www.future-project.eu/7/30/2019 3C1futur Flutter Free Turbomachinery Blades
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EU FP7 Project FUTURE
Project aiming at the acquiring new sets of relevantvalidation data on turbomachinery aeroelasticity(compressor, turbine) and validating numerical tools
Project coordinator: KTH, Prof Torsten Fransson
Partners: 25 partners from industry, research institutes,academia
Budget: 10.6M
Duration: July 2008 June 2012
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FUTURE Project Partners
Industry ResearchInstitutes
Academia
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Project Concept
Aeroelastic experiments
Aeroelastic computations
Synthesis of experimentsand computations
x x
x x
x x
Fan Compressor
Turbine
Picture courtesy of RR
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Project Structure
Two main streaks ofvalidation test cases as followsTransonic compressor
High subsonic Low-Pressure Turbine (LPT)
These test cases have been conceived within FUTURE
Interconnected experimentsNon-rotating cascade tests, controlled blade oscillation
Rotating tests, multi-blade row, free and forced oscillation
Mechanical characterizations of components (blisk, bladed disks)
Application ofnovel measurement techniques such as PSP
Interconnected computationsPerformed by virtually all partners in the project
Pre-test predictions
Post-test predictions
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Work Package Structure
WP1: Turbine and compressor cascade flutterPaolo Calza, Avio
WP2: LPT Rotating rig flutterRoque Corral, ITP
WP3: Multi-row compressor flutterJan stlund, Volvo Aero
WP4: Synthesis of experiments and computationsDetlef Korte, MTU
WP5: Project managementDamian Vogt, KTH
Shortcut to Benefits
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Presentation of FUTURE Test Cases
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Transonic Compressor
Design intentAeroelastic stable operation at design point
N 18000rpm, ~ 0.6
Reduction of positive aerodynamic damping as stall line isapproached
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Compressor Flow Field
ADP, 1.412
50% span
90% span
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Compressor - Overview of Tests
Non-rotating tests (isolated blade row, EPFL)Detailed steady aerodynamics
Aerodynamic damping (controlled oscillation, free oscillation)
Data: inlet/outlet flow parameters, blade loading, time-resolvedblade surface pressure
Rotating tests (1 stage compressor, TUD)Detailed steady aerodynamics (blade loading, probe traverses)
Mechanical characterization of rotor blisk (ECL)
Damping measurements at various operating points
Data: inlet/outlet flow parameters, blade loading, time-resolvedblade surface pressure, blade vibration (tip-timing)
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Non-Rotating Compressor TestFacility (EPFL)
Annular cascade module
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Rotating Compressor Test
Facility (TUD)
Rotor blisk
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High Subsonic LPT Rotor
Design intentControlled aeroelastic instability at design point Limit CycleOscillations (LCO)
N 2416rpm, M2 ~ 0.75
Goal: measurable LCO amplitudes
displacement
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LPT Rotor Flow Field
Mach number50% span
Outlet ptot
SS PS
Surface oil flow
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LPT - Overview of Tests
Non-rotating tests (isolated blade row sector, KTH)Detailed steady aerodynamicsAerodynamic damping (controlled oscillation influence
coefficients)
Data: inlet/outlet flow parameters, blade loading, time-resolvedblade surface pressure
Rotating tests (1 stage LPT, CTA)Detailed steady aerodynamics (probe traverses)
Two test objects: 1) cantilever 2) interlock
Mechanical characterization of rotor bladed disks (AVIO)
Damping measurements at various operating points
Data: inlet/outlet flow parameters, blade vibration (tip-timing)
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Non-Rotating LPT Test Facility(KTH)
Annular sectorcascade module
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Cascade Flow Field
Annular sector cascade5 blades, 6 passages
70% span loading of rotating rig matched
Outlet Mach numberdistribution
Fig with midspan
loading
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Rotating LPT Test Facility (CTA)
Assembled rotorbladesInterlock
configuration
Cantileverconfiguration
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What are the expected benefits of the
FUTURE project?
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Expected Benefits
The FUTURE project shall contribute to makingturbomachinery aeroelastic predictions more reliable
Numerical tools validated on new, relevant and uniqueaeroelastic test cases that shall lead to best practiceguidelines
Achieving this will help making turbomachinery blades flutter-free
make new aircraft engines more efficient
cut development costs and time frames
The FUTURE project will provide key enabling technologiestowards a green, safe, reliable and affordable air transportof the future
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Dissemination
Great attention is given to the dissemination of projectfindingsFeeding-back findings to education and life-long learning
ExamplesSharing of audiovisual instruction material from industry
partners with universities
Development ofe-learning tools
THRUST TurbomacHinery AeRomechanical UniverSity Training
The worlds first Masters programme in turbomachineryaeromechanics
UpcomingTHRUST+ Joint PhD programme on aeromechanics
EXPLORE Aero World Virtual University
www.explorethrust.eu
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What do we envision after FUTURE?
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Within the FUTURE project many questions will beanswered but there might be unresolved topics at the end
Having a strong project consortium and unique hardwarein place, we envision research in the following directions
Control of flutter (active, mistuning, novel damping concepts)
Influence of flow distortion and impedance
Flutter in the presence of other unsteady aerodynamic
phenomena
Development of new improved numerical models
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