a ph.d. proposal saeid niazi advisor:lakshmi n. sankar school of aerospace engineering
DESCRIPTION
Numerical Monitoring of Rotating Stall and Separation Control in Axial Compressors. A Ph.D. Proposal Saeid Niazi Advisor:Lakshmi N. Sankar School of Aerospace Engineering Georgia Institute of Technology - PowerPoint PPT PresentationTRANSCRIPT
School of Aerospace Engineering
MITE
A Ph.D. Proposal Saeid Niazi
Advisor:Lakshmi N. Sankar
School of Aerospace EngineeringGeorgia Institute of Technology
Supported by the U.S. Army Research Office Under the Multidisciplinary University Research Initiative (MURI) on Intelligent Turbine Engines
Numerical Monitoring of Rotating Numerical Monitoring of Rotating Stall and Separation Control in Axial Stall and Separation Control in Axial
CompressorsCompressors
School of Aerospace Engineering
MITE
OverviewOverview Objectives and Motivation Surge and Rotating Stall Mathematical and Numerical Formulation NASA Axial Rotor 67 Results
• Background• Peak Efficiency Conditions• Off-design Conditions
Bleed Valve Control Conclusions Proposed Work
School of Aerospace Engineering
MITE
Objectives and MotivationObjectives and Motivation
• Use CFD to explore and understand compressor stall and surge
• Develop and test control strategies (bleed valve) for axial compressors
Ch
oke
Lim
it
Flow Rate
To
tal P
ress
ure
Ris
e
Lines of ConstantRotational Speed
Lines of ConstantEfficiency
Surg
e L
imit
Desired Extension of Operating Range
Safety Margin
School of Aerospace Engineering
MITE
What is Rotating Stall?What is Rotating Stall?
• Rotating stall is a 2-D unsteady local phenomenon
• Types of rotating stall:
•Part-span•Full-span
School of Aerospace Engineering
MITE
What is Surge?What is Surge?
• Surge is a global 1-D instability that can affect the whole compression system.
• In contrast to rotating stall, the average flow through the compressor is unsteady.
Pressure Rise
Flow Rate
MeanOperating Point
Limit CycleOscillations
Pressure Rise
Flow Rate
Deep Surge
Mild SurgePressure Rise
Flow Rate
Modified Surge
Flow is not symmetric
School of Aerospace Engineering
MITE
• Most research activities were on 2-D bases. — Jonnavithula, Sisto, (Stevens Institute of
Technology) 1990— Elder (Cranfield Institute of Technology) 1993— Rivera (Georgia Tech) 1997
• A few research activities were on 3-D Study, such as, He (university of Durham) 1998.
Computational Background on Rotating StallComputational Background on Rotating Stall
School of Aerospace Engineering
MITE
• Air-injection•Murray (CalTech)•Fleeter, Lawless (Purdue)•Weigl, Paduano, Bright (MIT & NASA Glenn )
• Movable plenum wall•Gysling, Greitzer, Epstein (MIT)
• Guide vanes•Dussourd (Ingersoll-Rand Research Inc.)
• Diffuser bleed valves•Pinsley, Greitzer, Epstein (MIT)•Parsad, Numeier, Haddad (GT)
How to Control StallHow to Control Stall
Bleed Valves
Air Injection
Guide Vanes
Movable Plenum Walls
School of Aerospace Engineering
MITE
MATHEMATICAL FORMULATION MATHEMATICAL FORMULATION
t
qdV Eˆ i Fˆ j G ˆ k n dS Rˆ i Sˆ j T ˆ k
n dS
Reynolds Averaged Navier-Stokes Equations in FiniteVolume Representation:
where,
q is the state vector. E, F, and G are the inviscid fluxes, and R, S, and T are the viscous fluxes.
A cell-vertex finite volume formulation using Roe’sscheme is used for the present simulations.
School of Aerospace Engineering
MITE
MATHEMATICAL FORMULATIONMATHEMATICAL FORMULATION
• The viscous fluxes are computed to second order spatial accuracy.
• A three-factor ADI scheme with second-order artificial damping on the LHS is used to advance the solution in time.
• The Spalart-Allmaras turbulence model is used in the present simulations.
School of Aerospace Engineering
MITE
Boundary ConditionsBoundary Conditions
Inlet:p0,T0,v,w specified;Riemann-Invariant extrapolated from Interior
Exit:.mt specified;all other quantities extrapolated from Interior
Solid Walls:no-slip velocity conditions;dp/dn=ddn = 0
Zonal Boundaries:Properties are averaged on either side of the boundary
Periodic Boundaries:Properties are averaged on either side of the boundary
School of Aerospace Engineering
MITE
mc
. )mm(V
a
dt
dptc
p
2pp
Conservation of mass:
Outflow Boundary ConditionsOutflow Boundary Conditions
Outflow Boundary
Plenum Chamberu(x,y,z) = 0 •pp(x,y,z) = CT.•isentropic
mt
.
ap, Vp
Actual mass flow rate:cmDesired mass flow rate:tm
All other quantities extrapolated from interior
School of Aerospace Engineering
MITE
Axial Compressor (NASA Rotor 67)Axial Compressor (NASA Rotor 67)• 22 Full Blades
• Inlet Tip Diameter 0.514 m
• Exit Tip Diameter 0.485 m
• Tip Clearance 0.61 mm• Design Conditions:
– Mass Flow Rate 33.25 kg/sec
– Rotational Speed 16043 RPM (267.4 Hz)
– Rotor Tip Speed 429 m/sec
– Inlet Tip Relative Mach Number 1.38
– Total Pressure Ratio 1.63
– Adiabatic Efficiency 0.93 514 mm
School of Aerospace Engineering
MITE
Literature Survey of NASA Rotor 67Literature Survey of NASA Rotor 67• Computation of the stable part of the design speed operating
line: • NASA Glenn Research Center (Chima, Wood, Adamczyk, Reid, and Hah)• MIT (Greitzer, and Tan)• U.S. Army Propulsion Laboratory (Pierzga) • Alison Gas Turbine Division (Crook)• University of Florence, Italy (Arnone )• Honda R&D Co., Japan (Arima)
• Effects of tip clearance gap: • NASA Glenn Research Center (Chima and Adamczyk)
• MIT (Greitzer)
• Shock boundary layer interaction and wake development: • NASA Glenn Research Center (Hah and Reid).
• End-wall and casing treatment: • NASA Glenn Research Center (Adamczyk)
• MIT (Greitzer)
School of Aerospace Engineering
MITE
Axial Compressor (NASA Rotor 67)Axial Compressor (NASA Rotor 67)
4 Blocks73X32X21Total of 196224 cells
Meridional Plane
Plane Normal to Streamwise
Hub
LE TE
School of Aerospace Engineering
MITE
Relative Mach Contours at Mid-SpanRelative Mach Contours at Mid-Span (Peak Efficiency)(Peak Efficiency)
Spatially uniform flow at design conditions
IV
III
II
I
LETE
School of Aerospace Engineering
MITE
0.8
1
1.2
1.4
1.6
-125 -50 25 100 175 250% C h o r d
M
CFD
Experiment
% 30 Pitch
Relative Mach Number at %90 Radius (Peak Efficiency)
TELE
0.8
1
1.2
1.4
1.6
-125 -50 25 100 175 250% C h o r d
M
CFD
Experiment
% 50 Pitch
TELE
School of Aerospace Engineering
MITE
Shock-Boundary Layer InteractionShock-Boundary Layer Interaction (Peak Efficiency) (Peak Efficiency)
LE
TE
Shock
Near Suction Side
School of Aerospace Engineering
MITE
LE
TE
Shock
Velocity Profile at Mid-PassageVelocity Profile at Mid-Passage (Peak efficiency) (Peak efficiency)
•Flow is well aligned.•Very small regions of separation observed in the tip clearance gap(Enlarged view)
-50
-30
-10
10
30
50
-40 -30 -20 -10 0 10 20 30 40
% Mass Flow rate Fluctuations
% P
ress
ure
Flu
ctua
tion
s
Fluctuations are very small (2%)
School of Aerospace Engineering
MITE
LE
TE
Clearance Gap
Enlarged View of Velocity Profile in Enlarged View of Velocity Profile in the Clearance Gap (Peak efficiency)the Clearance Gap (Peak efficiency)
•The reversed flow in the gap and the leading edge vorticity grow in size and magnitude as the compressor operates at off-design conditions
School of Aerospace Engineering
MITE
Adiabatic Efficiency (NASA Rotor 67)Adiabatic Efficiency (NASA Rotor 67)Choke m
m
VdA
VdAp
p
p
p
01
02
01
02
VdA
VdATT
T
T
01
02
01
02
1
1
01
02
1
01
02
TT
pp
ad
0.84
0.86
0.88
0.9
0.92
0.94
0.88 0.9 0.92 0.94 0.96 0.98 1
Eff
icie
ncy
Experiment
CFD
Peak Efficiency
Near Stall
School of Aerospace Engineering
MITE
1.3
1.4
1.5
1.6
1.7
1.8
0.84 0.86 0.88 0.9 0.92 0.94 0.96 0.98 1
Tot
al P
ress
ure
rat
io
TurbExperimentlaminar3% Bleed Air
Peak Efficiency
Near Stall
Unstable Conditions
Controlled
A
BC
Performance Map (NASA Rotor 67)Performance Map (NASA Rotor 67)
measured mass flow rate at choke: 34.96 kg/s
CFD choke mass flow rate: 34.76 kg/s
Choke m
m
D
School of Aerospace Engineering
MITE
Transient of Massflow Rate FluctuationsTransient of Massflow Rate Fluctuations
-10
-8
-6
-4
-2
0
2
4
6
8
10
0 4 8 12 16 20 24 28 32
Ma
ssfl
ow
Ra
te F
luct
ua
tio
ns
(kg
/s)
(A)Peak Efficiency
(C)Modified Surge
(B) Mild Surge
Rotor Revolutions (
School of Aerospace Engineering
MITE
IIIIIIIVLE
TE
I
II
III
IV
Location of the Probes for Observing Location of the Probes for Observing the Pressure and Velocity Fluctuationsthe Pressure and Velocity Fluctuations
The probes are located at 30% chord upstream of the rotor and 90% span. They are fixed in space.
School of Aerospace Engineering
MITE
Onset of the Stall (Clean Inlet)Onset of the Stall (Clean Inlet)
•Probes show identical fluctuations.
•Flow while unsteady, is still symmetric from blade to blade.
IIIIII
IV
0.5
0.8
1.1
1.4
1.7
0.00 0.36 0.73 1.09 1.45 1.82
Pre
ssur
e
Time (Rotor Revolution)
I
II
III
IV
School of Aerospace Engineering
MITE
NASA Rotor 67 ResultsNASA Rotor 67 Results (surge Conditions) (surge Conditions)
f= 1/80 of blade passing frequency
School of Aerospace Engineering
MITE
NASA Rotor 67 ResultsNASA Rotor 67 Results (Rotating Stall) (Rotating Stall)
School of Aerospace Engineering
MITE
NASA Rotor 67 ResultsNASA Rotor 67 Results (Rotating Stall) (Rotating Stall)
School of Aerospace Engineering
MITE
0.4
0.7
1
1.3
1.6
0.00 0.36 0.73 1.09 1.45 1.82 2.18 Time (Rotor Revolution)
Pre
ssur
e
Onset of the Stall (Disturbed Inlet)Onset of the Stall (Disturbed Inlet)
•Inlet distortion simulated by dropping the stagnation pressure in one block by 20%
•Flow is no longer symmetric from blade to blade.
•Frequency of rotating stall is N, where : blade passing frequency
School of Aerospace Engineering
MITE
Bleed Valve ControlBleed Valve Control
Bleed Area
Hub
Shroud
• Pressure, density and tangential velocities are extrapolated from interior. .• Un = mb/(Ab)
School of Aerospace Engineering
MITE
Bleed Valve ControlBleed Valve Control3% Bleeding nearly eliminates reversed flow near LE
School of Aerospace Engineering
MITE
Bleed Valve ControlBleed Valve Control
-50
-30
-10
10
30
50
-40 -20 0 20 40
-50
-30
-10
10
30
50
-40 -20 0 20 40
% Mass Flow Rate Fluctuations
% Total Pressure
Fluctuations
Without Control
With Bleed Valve
3% bleed air reduces the total pressure fluctuations by 75%
School of Aerospace Engineering
MITE
Bleed Valve ControlBleed Valve ControlAxial Velocity Near LEAxial Velocity Near LE
% F
rom
Hub
After 1.5 Rev.
After 0.5 Rev.
Bleed Valve.
School of Aerospace Engineering
MITE
ConclusionsConclusions•The CFD compressor modeling was applied to the NASA Rotor 67 axial compressor.
•The calculated shock strength and location at the peak efficiency are in good agreement with experimental results.
•For the axial compressor, tip leakage vortex is stronger under off-design conditions compared to peak efficiency conditions.
School of Aerospace Engineering
MITE
•Results revealed that instabilities during the onset of stall in NASA Rotor67 is of mild surge type. The mild surge was followed by a modified surge. (Surge and rotating stall interaction)
•When flow in the inlet at the onset of the stall was disturbed, flow-field became asymmetric and rotating stall was triggered.
•Stall and surge can be eliminated by the use of small amounts of bleeding from the diffuser.
Conclusions (Continued…)Conclusions (Continued…)
School of Aerospace Engineering
MITE
Proposed WorkProposed Work
• Should recent Rotor 37 rotating stall data become publicly available (Contact: Dr. Michelle Bright, NASA Glenn), rotating stall control of Rotor 37 will be attempted.
• Two additional types of bleed control will be studied.Bleed
tm
)sin()( 10 tABmm nbleed
A : Rotating stall amplitudeRotating stall frequencyn : 1 (linear control) 2 (quadratic control)