school of aerospace engineering mite numerical modeling of compressor and combustor flows suresh...
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School of Aerospace Engineering
MITE
Numerical Modeling of Compressor and Combustor
FlowsSuresh Menon, Lakshmi N. Sankar
Won Wook Kim S. Pannala, S. Niazi, C. Rivera, A. Stein
School of Aerospace EngineeringGeorgia Tech, Atlanta, GA 30332-0150
School of Aerospace Engineering
MITE
RESEARCH OBJECTIVES
• Develop first-principles based tools for modeling flow through axial and centrifugalcompressors.
• Develop first-principles based tools formodeling two-phase reacting flowwithin combustors.
• Use these tools to explore control strategiesfor stable operation of compressors and combustors.
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MITE
Compressor Modeling: Progress To Date
• A two-dimensional rotor-stator Navier-Stokes code has been developed, and used to model rotating stall.
• A reduced order model based on 2-D simulations has been developed, and validated.
• 3-D Navier-Stokes simulations have beencompleted for a NASA centrifugal compressor configuration.
• Stable operation of the 3-D configuration has beenachieved at low mass flow rates using passive control devices.
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MITE
Two-Dimensional Flow Solver
• Solves compressible Navier-Stokes equations for Rotor-Stator Configurations.
• Can model oscillating blades, inflowand downstream disturbances.
• Has been extensively validated. (Rivera, Ph. D. Dissertation, May 1998.)
• Some validation studies were presented last year.
• Forms the basis for the new Reduced Order Model.
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MITE
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REDUCED ORDER MODEL
Flow Field is divided into Macro-zones.In each zone, there are 4 states - , u, v and T
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Reduced Order Model II
Current Zone
Neighbor Zone
Neighbor ZoneNeighbor Zone
Neighbor Zone
In each zone, the governing equations are applied:
t
qdV Fi Gj ndS
Viscous Losses from
CFDsimulations
A coupled system of ODEs result.
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MITE
Reduced Order Model III• This system of simultaneous nonlinear
ordinary differential equations couples states from all the zones
dq
dtA q Viscous Losses
• Steady state solution yields performance map.
•The unsteady solution may be used to analyze the nonlinear dynamics of the system.
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MITE
Compressor Performance Map
0
0.1
0.2
0.3
0 0.2 0.4 0.6
Non-Dimensional Mass Flow Rate
No
n-D
imen
sio
nal
Pre
ssu
re
Rat
io
CFDCalculations
Measured Data
Reduced OrderModel
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MITE
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REDUCED ORDER MODEL
Incoming Disturbances may be inexpensively modeled.
Throttle effects may be inexpensively modeled, and system transients studied.
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MITE
NASA Low Speed Centrifugal CompressorNASA Low Speed Centrifugal Compressor
Perspective View of the NASA Low Speed Centrifugal Compressor
• 20 Full Blades with 55° Backsweep
• Inlet Diameter 0.87 m
• Exit Diameter 1.52 m
• Design Conditions:– Mass Flow Rate 30 kg/sec
– 1862 RPM
– Total Pressure Ratio 1.14
SIMULATION SETUPSIMULATION SETUP
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Single Passage Grid Modeling3-D SIMULATION SETUP3-D SIMULATION SETUP
Grid Size:
129x61x41
= 322,629 points
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Inlet:p0,T0,v,w specified; Characteristic equation solved to model acoustic waves leaving the domain.
Diffuser Exit:pback specified;entropy and vorticity are extrapolated from Interior.
Periodic Boundaries:Flow properties are periodic from blade to blade.
Blade Surface:no-slip velocity conditions.
3-D SIMULATION SETUPBoundary Conditions
p
nT
n
0
0
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Surface Pressure Distribution
Computations Vs. Measurements5% Blade Span From Hub
0.9
0.92
0.94
0.96
0.98
1
0 0.2 0.4 0.6 0.8 1
Meridional Distance
p/ps
td
suction side-cfdpressure side-cfdsuction side-exppressure side-exp
49% Blade Span From Hub
0.9
0.92
0.94
0.96
0.98
1
0 0.2 0.4 0.6 0.8 1
Meridional Distance
suction surface-cfd
pressure surface-cfd
suction surface-exp
pressure surface-exp
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97% Blade Span From Hub
0.9
0.92
0.94
0.96
0.98
1
0 0.2 0.4 0.6 0.8 1Meridional Distance
79% Blade Span From Hub
0.9
0.92
0.94
0.96
0.98
1
0 0.2 0.4 0.6 0.8 1
Meridional Distance
p/ps
td
Surface Pressure Distribution
Computations Vs. Measurements
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1.09
1.11
1.13
1.15
1.17
1.19
10 15 20 25 30 35 40 45
Mass flow (kg/s)
Tot
al P
ress
ure
Rat
io
CFD
CFD with bleeding
Experiment
Controlled,Stable Operation
Compressor Performance Characteristics
CFD without bleeding
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1.05
1.07
1.09
1.11
1.13
1.15
1.17
1.19
1.21
20 25 30 35 40 45
Mass flow (kg/s)
Tot
al P
ress
ure
Rat
io
CFD - Coarse Grid
CFD - Fine Grid
Grid Sensitivity Impeller Performance Map for LSCC
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Velocity Field (Colored by Pressure)RESULTS (Design Conditions)
Diffuser Region is Well
Behaved
No Separation
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Velocity Field (Colored by Pressure)RESULTS (Off-Design Conditions)
Diffuser Region Shows
Small Separation
Onset of Instabilities
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Effects of Bleeding on Diffuser Performance
Without bleed With bleed
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Compressor Simulations: Conclusions
• A new CFD based reduced order model has been developed and validated.
• A 3-D unsteady compressible flow solver for modeling centrifugal compressors has been developed and validated.
• Good agreement with experiments have been obtained for a Low Speed Centrifugal Compressor (LSCC) tested at NASA Lewis Research Center.
• For the LSCC, flow instabilities were found to originate in the diffuser region.
• Stall control by the use of bleed valves on the diffuser walls has been computationally demonstrated.
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Combustor Modeling- Progress To Date
• A stand-alone methodology for droplet convection,vaporization, turbulent mixing and chemical reaction has been developed, and was reported last year.
• During the current period, this methodology wassuccessfully coupled to gas-phase unsteady flow solvers.
• Incompressible and compressible versions of thetwo phase flow solvers have been developed.
• Ability of the methodology to track particles injected into a vortex has been verified.
• Validation against Ga Tech experiments are in progress.
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Droplet TrajectoryDroplets see local flow properties(Temperature and Velocity).
Energy, Mass Transferred to subgrid.
Momentum transferredto the supergrid.
Droplets below a cut-offradius are modeled in thesubgrid till vaporizationis complete.
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Features of the Present Approach
• Present subgrid approach is more efficient than other LES schemes where a very fine multi-dimensional subgrid is needed to model the droplets.
• In conventional Lagrangian schemes, all the coupling between the droplet and the gas phase is via the supergrid. In the present approach, only the momentum of gas and liquid phase is coupled via the supergrid.
• Conventional Lagrangian schemes assume droplets vaporize instantaneously, below a cut-off radius.This can give erroneous results.
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Mixing Layer Simulations with Droplets
3-D Shear layer, on which diturbances corresponding to first unstable mode are imposed.
Seed Particles
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Present Model Correctly ModelsLarge and Small Particles
St=Stokes No.
Particle Response Time
Flow Response Time
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Simulation of a Mixing Layer, where the upper stream
is laden with medium size particles (Stokes No. = 1).
Experiment by Lazaros and Lasheras (1992)
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Conventional LES Scheme Vs. Present
5 Micron Cut-OffProduct mass Fraction
0.00
0.05
0.10
0.15
0.20
0.25
0.0 0.2 0.4 0.6 0.8 1.0Y/Ylen
Pro
duct
Mas
s F
ract
ion
LEM/LES
Conventional LES
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Conventional LES Scheme Vs. Present5 Micron Cut-Off
Temperature
280.0
300.0
320.0
340.0
360.0
380.0
0.0 0.2 0.4 0.6 0.8 1.0Y/Ylen
Tem
per
atu
reLEM/LES Conventional LES
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Conventional LES Results are sensitive to Droplet Cut-Off Size
0.00.20.40.60.81.0
0.0 0.2 0.4 0.6 0.8 1.0
Y/Ylen
Prod
uct D
ensi
ty (
p/0)
Conventional LES (Cut-off 5 microns)
Conventional LES (Cut-off 10 microns)
Conventional LES (Cut-off 20 microns)
4 to 5 timesexpensive thanpresent approach
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Present Approach is less sensitive toDroplet Cut-Off Size
0.0
0.2
0.4
0.6
0.8
1.0
0.0 0.2 0.4 0.6 0.8 1.0Y/Ylen
Prod
uct D
ensi
ty ( p
/0)
LEM/LES (Cut-off 5 microns)LEM/LES (Cut-off 10 microns)LEM/LES (Cut-off 20 microns)
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main Air
Main Air
Honeycomb
FuelCoflow Air
TurbulenceGenerator
MeasurementPlanes
Optical Access
Optical Access
Experimental Set Up for LES/LEM Validation
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Comparisons with GA Tech Experiments
Measured inflow velocities, droplet distribution and turbulence levels are input into the code
0.0
5.0
10.0
15.0
20.0
25.0
30.0
0 0.02 0.04 0.06 0.08 0.1
Radial Distance (m)
Vel
ociti
es (
m/s
)
0
1
2
3
Inflow Umean (Expt.) Inflow Umean (LES)
Inflow Urms (Expt.) Inflow Urms (LES)
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Comparisons with Ga Tech Experiments
0.0
5.0
10.0
15.0
20.0
0 0.02 0.04 0.06 0.08 0.1
Radial Distance (m)
Axi
al v
eloc
ity (m
/s)
Umean - Expt. (X/D = 13)
Instantaneous Axial Velocity (Compt.)
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Combustor Modeling- Conclusions
• Incompressible and Compressible Two-Phase Reacting Flow Solvers have been developed.
• Droplet convection, evaporation, turbulent mixing and reaction are all modeled from first principles.
• Present approach is less expensive than conventional LES, but more accurate.
• Flow solver has been validated with experiments.
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Research Plans for Next Year
• Extend the new CFD based reduced order model to 3-D centrifugal configurations. Validate.
• Study stall and surge control of the Ga Tech centrifugal compressor configuration using CFD, and using the 3-D reduced order model.
• Perform further validations of the LES/LEM two-phase flow method with Georgia Tech data.
• Perform two-phase reacting flow simulations for a dump combustor configuration.