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MUSCLES Modelling of Un s teady Combustion in Low Emission Systems. G4RD-CT-2002-00644 R&T P roject within the 5 th Framework P rogram of the European Union. Time-Dependent Numerical Simulations of the One-Phase as well as the Multi-Phase Flow Fields within an LPP Aero-Engine System. - PowerPoint PPT Presentation
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Mid Term Meeting, Sept. 21st-22nd, 2004, Karlsruhe Presentation by: F.Pittaluga - UNIGE-DIMSET
Dept. of Fluid Machinery, Energy Systems and Transportation - University of Genoa, Italy
1
MUSCLES
Modelling of Unsteady Combustion in Low Emission Systems
G4RD-CT-2002-00644
R&T Project within the 5th Framework Program of the European Union
Mid Term Meeting, Sept. 21st-22nd, 2004, Karlsruhe Presentation by: F.Pittaluga - UNIGE-DIMSET
Dept. of Fluid Machinery, Energy Systems and Transportation - University of Genoa, Italy
2
Time-Dependent Numerical Simulations of the One-Phase as well as the Multi-Phase
Flow Fields within an LPP Aero-Engine System
Mid Term Meeting, Sept. 21st-22nd, 2004, Karlsruhe Presentation by: F.Pittaluga - UNIGE-DIMSET
Dept. of Fluid Machinery, Energy Systems and Transportation - University of Genoa, Italy
3
NastComb Code
CRFD (Computational Reactive Fluid Dynamics) code, extensively developed at DIMSET, and continuously improved and validated
Three-dimensional, turbulent, multi-phase, reactive flows
Ensemble-averaged, fully time-dependent (fast-transient tracking) numerical scheme
Main features: ALE method , TSDIA/MTS turbulence model, liquid-fuel spray simulation, fully detailed chemistry
Mid Term Meeting, Sept. 21st-22nd, 2004, Karlsruhe Presentation by: F.Pittaluga - UNIGE-DIMSET
Dept. of Fluid Machinery, Energy Systems and Transportation - University of Genoa, Italy
4
NastComb: Spray Modeling
Stochastic technique Discrete particles methodCollision, break-up, evaporationTAB model
– Taylor Analogy Break-up– Liquid droplet deformation
yr
Cyr
Cr
u
C
Cy
l
ld
lk
l
g
b
F 232
2
Mid Term Meeting, Sept. 21st-22nd, 2004, Karlsruhe Presentation by: F.Pittaluga - UNIGE-DIMSET
Dept. of Fluid Machinery, Energy Systems and Transportation - University of Genoa, Italy
5
RTKH Model
Stability analysis→Dispersion equation→Fastest growing wavelength
Kelvin-Helmoltz instabilities
•Relative velocity
Rayleigh-Taylor instabilities
•Interface acceleration
aBtbu 1726.3
0Br
1but
2
RTCr
Only KH model with droplets stripping
Jet primary breakup
RT+KH competition
Secondary breakup
Mid Term Meeting, Sept. 21st-22nd, 2004, Karlsruhe Presentation by: F.Pittaluga - UNIGE-DIMSET
Dept. of Fluid Machinery, Energy Systems and Transportation - University of Genoa, Italy
6
A First TAB/RT-KH Comparison
Primary jet break-up in stagnant gas
Fuel c13h30
Nozzle diameter 0.2 mm
Fuel injection velocity 40 m/s
Air Temperature 300 K
Air pressure 2000 kPa
Jet Weber number 210
Grid Size 1*1*1 mm^3
Domain size 5 cm radial*15 cm axial
Simulation time 3.5 ms
No evaporation
No collision
Mid Term Meeting, Sept. 21st-22nd, 2004, Karlsruhe Presentation by: F.Pittaluga - UNIGE-DIMSET
Dept. of Fluid Machinery, Energy Systems and Transportation - University of Genoa, Italy
7
TAB Model - RTKH Model Compared
RTKH model
TAB model
Mid Term Meeting, Sept. 21st-22nd, 2004, Karlsruhe Presentation by: F.Pittaluga - UNIGE-DIMSET
Dept. of Fluid Machinery, Energy Systems and Transportation - University of Genoa, Italy
8
TAB Model - RTKH Model Compared
TAB Model•SMR= 43 micron
•Droplet N°= 6000
RTKH model•SMR= 25 micron
•Droplet N°= 20000
Mid Term Meeting, Sept. 21st-22nd, 2004, Karlsruhe Presentation by: F.Pittaluga - UNIGE-DIMSET
Dept. of Fluid Machinery, Energy Systems and Transportation - University of Genoa, Italy
9
TAB Model - RTKH Model Compared
Mid Term Meeting, Sept. 21st-22nd, 2004, Karlsruhe Presentation by: F.Pittaluga - UNIGE-DIMSET
Dept. of Fluid Machinery, Energy Systems and Transportation - University of Genoa, Italy
10
Ultra Low NOx “LRPM” Technology
• Objective: to pursue NastComb calibration/validation in reactive conditions
• Ultra-lean, fully-premixed combustion process with liquid fuels
• Reduction of temperature levels (and gradients) to the advantage of Nox limitation
• High flame-stability characteristics
Combustion chamber
Premixer
Air inlet
Mid Term Meeting, Sept. 21st-22nd, 2004, Karlsruhe Presentation by: F.Pittaluga - UNIGE-DIMSET
Dept. of Fluid Machinery, Energy Systems and Transportation - University of Genoa, Italy
11
SCL/LRPM Test Rig
also: propane, gas-oil and jet-A
Distillate #2 Liquid fuel type
Fully verified in several test campaigns
10 - 15 ppmNOx level
max, pc-controlled
110 kWElectrical preheating power
nominal, sustainable up to 1.3 bar
1.15 barCombustor pressure
nominal, ultra-lean, controllable
0.42Equivalence ratio
max, from fuel injection 200 kWThermo-chemical power
max, pc-controlled 350 °CBurner-inlet air temperature
nominal, pc-controlled 500 kg/hAir flow rate
Mid Term Meeting, Sept. 21st-22nd, 2004, Karlsruhe Presentation by: F.Pittaluga - UNIGE-DIMSET
Dept. of Fluid Machinery, Energy Systems and Transportation - University of Genoa, Italy
12
Preheated Two-Phase Flow Simulation
Operative conditions adopted
Air flow rate 315.2 Nm3/h
Air inlet temperature 333 °C
Inlet pressure 1.10 * 105 Pa
Fuel Type Jet-A
Nozzle diameter 0.3 mm
Fuel flow rate 0.182 l/min
Fuel inlet temperature 100 °C
Equivalence ratio 0.40
Preheating power 85000 kW
Mid Term Meeting, Sept. 21st-22nd, 2004, Karlsruhe Presentation by: F.Pittaluga - UNIGE-DIMSET
Dept. of Fluid Machinery, Energy Systems and Transportation - University of Genoa, Italy
13
Numerical Mesh
Mid Term Meeting, Sept. 21st-22nd, 2004, Karlsruhe Presentation by: F.Pittaluga - UNIGE-DIMSET
Dept. of Fluid Machinery, Energy Systems and Transportation - University of Genoa, Italy
14
TAB/RT-KH Comparison
TAB model
RTKH model
Mid Term Meeting, Sept. 21st-22nd, 2004, Karlsruhe Presentation by: F.Pittaluga - UNIGE-DIMSET
Dept. of Fluid Machinery, Energy Systems and Transportation - University of Genoa, Italy
15
TAB/RT-KH Comparison
TAB model
RTKH model
After RT effect
Mid Term Meeting, Sept. 21st-22nd, 2004, Karlsruhe Presentation by: F.Pittaluga - UNIGE-DIMSET
Dept. of Fluid Machinery, Energy Systems and Transportation - University of Genoa, Italy
16
Reactive Predictions (LRPM Burner)
Mid Term Meeting, Sept. 21st-22nd, 2004, Karlsruhe Presentation by: F.Pittaluga - UNIGE-DIMSET
Dept. of Fluid Machinery, Energy Systems and Transportation - University of Genoa, Italy
17
Spray Models and Implementation
NastComb solver is now provided with the RTKH model as a new option for improved predictions (unreactive and reactive)
Taking advantage of the very recent experimental data referred to the enlarged-scale Avio LPP model-rig, a unique opportunity has become available in order to pursue detailed calibration and validation for both one-phase as well multi-phase pre-heated flows in real-application conditions .
With above validations, NastComb solver has attained a quite interesting, reliable, application potential
Mid Term Meeting, Sept. 21st-22nd, 2004, Karlsruhe Presentation by: F.Pittaluga - UNIGE-DIMSET
Dept. of Fluid Machinery, Energy Systems and Transportation - University of Genoa, Italy
Time Dependent Prediction of the One-PhaseTime Dependent Prediction of the One-Phase Flow-Field Within an LPP Aero-Engine SystemFlow-Field Within an LPP Aero-Engine System
MUSCLES Mid-Term Meeting, September 21st-22nd, 2004 Karlsruhe
Mid Term Meeting, Sept. 21st-22nd, 2004, Karlsruhe Presentation by: F.Pittaluga - UNIGE-DIMSET
Dept. of Fluid Machinery, Energy Systems and Transportation - University of Genoa, Italy
LPP System Computational ConditionsLPP System Computational Conditions
Computational GridComputational Grid
Grid type: Structured-MultiblockN° of total Blocks: from 203 to 451Geometry: Fully 3D°N° of total cells: from 994000 to 2450000
Boundary Conditions Boundary Conditions
Mass Flow : 0.4 kg/sStatic Temperature Inlet : 298 KStatic Pressure Outlet : 101680 Pa
Experimental Test RigExperimental Test Rig
Zmax = 750 mm - Xmax = 250 mm - Ymax = 250 mm
Mid Term Meeting, Sept. 21st-22nd, 2004, Karlsruhe Presentation by: F.Pittaluga - UNIGE-DIMSET
Dept. of Fluid Machinery, Energy Systems and Transportation - University of Genoa, Italy
Computational Results and ValidationComputational Results and Validation
Z= +30 mmZ= +30 mm
Meridian PlaneMeridian PlaneMesh Size : 994 000Mesh Size : 994 000
Time Dependent Numerical ResultsTime Dependent Numerical Results
Traversing Z= +30 mmTraversing Z= +30 mmMesh Size : 2 450 000Mesh Size : 2 450 000
CaCa CrCr CtCt
Meridian Meridian PlanePlane
Meridian & Cross Meridian & Cross Section PlanesSection Planes
Mesh Size : 2 450 000Mesh Size : 2 450 000
Mid Term Meeting, Sept. 21st-22nd, 2004, Karlsruhe Presentation by: F.Pittaluga - UNIGE-DIMSET
Dept. of Fluid Machinery, Energy Systems and Transportation - University of Genoa, Italy
Computational Computational PowerPower
LINUX CLUSTER “APOLLO”LINUX CLUSTER “APOLLO”
Cpu’s : 12 Athlon™ MP 2.0 GHz
Ram : Master 2 Gb DDR 266 Slaves 1 Gb DDR 266
Storage Capacity : 480 Gb
Network : 3COM ™ Gigabit
Mid Term Meeting, Sept. 21st-22nd, 2004, Karlsruhe Presentation by: F.Pittaluga - UNIGE-DIMSET
Dept. of Fluid Machinery, Energy Systems and Transportation - University of Genoa, Italy
ANNEX 4ANNEX 4
Time Dependent Prediction of the Multi-PhaseTime Dependent Prediction of the Multi-Phase Flow-Field Within an LPP Aero-Engine SystemFlow-Field Within an LPP Aero-Engine System
MUSCLES Mid-Term Meeting, September 21st-22th, 2004 Karlsruhe
Mid Term Meeting, Sept. 21st-22nd, 2004, Karlsruhe Presentation by: F.Pittaluga - UNIGE-DIMSET
Dept. of Fluid Machinery, Energy Systems and Transportation - University of Genoa, Italy
LPP System: Two Phase Flow Computational ConditionsLPP System: Two Phase Flow Computational Conditions
Numerical GridNumerical Grid
Grid type: Structured-MultiblockN° of total Blocks: from 203 to 451Geometry: Fully 3D°N° of total cells: from 994000 to 2450000
Zmax = 750 mm - Xmax = 250 mm - Ymax = 250 mm
Boundary Conditions: AIR Boundary Conditions: AIR
Total Pressure Inlet : 103520 PaTotal Temperature Inlet : 451 KStatic Pressure Outlet : 101300 PaAir Mass Flow Inlet : 0.46 Kg/s
Boundary Conditions: FUEL Boundary Conditions: FUEL
Fuel : Ethyl Alcohol (liquid) Fuel Mass Flow Inlet : 0.0035 Kg/sTotal Temperature Inlet : 293 KDroplets Diameters: 40 Cone Angle : 50°Droplets Velocity : 50 m/s
Mid Term Meeting, Sept. 21st-22nd, 2004, Karlsruhe Presentation by: F.Pittaluga - UNIGE-DIMSET
Dept. of Fluid Machinery, Energy Systems and Transportation - University of Genoa, Italy
LPP System : LPP System : Two-Phase Flow Computational Results Two-Phase Flow Computational Results
Z= +100 mmZ= +100 mm
Meridian PlaneMeridian PlaneMesh Size : 994 000Mesh Size : 994 000
Time Dependent Numerical ResultsTime Dependent Numerical Results
Meridian Meridian PlanePlane
Cross Section Cross Section PlanePlane
Mesh Size : 2 450 000Mesh Size : 2 450 000
Locations of measuring traverses
Mid Term Meeting, Sept. 21st-22nd, 2004, Karlsruhe Presentation by: F.Pittaluga - UNIGE-DIMSET
Dept. of Fluid Machinery, Energy Systems and Transportation - University of Genoa, Italy
Droplets Trajectories in Cross Section Plane (Z= +100mm)Droplets Trajectories in Cross Section Plane (Z= +100mm)(colour is local velocity level)(colour is local velocity level)
Mid Term Meeting, Sept. 21st-22nd, 2004, Karlsruhe Presentation by: F.Pittaluga - UNIGE-DIMSET
Dept. of Fluid Machinery, Energy Systems and Transportation - University of Genoa, Italy
LPP System:LPP System: Droplets Trajectories in Meridian Plane Droplets Trajectories in Meridian Plane(colour is local velocity level)(colour is local velocity level)
Mid Term Meeting, Sept. 21st-22nd, 2004, Karlsruhe Presentation by: F.Pittaluga - UNIGE-DIMSET
Dept. of Fluid Machinery, Energy Systems and Transportation - University of Genoa, Italy
Unsteady Droplets’ TrajectoriesUnsteady Droplets’ Trajectories (notice the repeated wall-rebounds, in premixer and in discharge chamber) (notice the repeated wall-rebounds, in premixer and in discharge chamber)
Mid Term Meeting, Sept. 21st-22nd, 2004, Karlsruhe Presentation by: F.Pittaluga - UNIGE-DIMSET
Dept. of Fluid Machinery, Energy Systems and Transportation - University of Genoa, Italy
Azymuthally-Averaged Radial Distributions of the Droplets’ Diameters:Azymuthally-Averaged Radial Distributions of the Droplets’ Diameters:Numerical-Experimental Cross ComparisonsNumerical-Experimental Cross Comparisons
Traverse 1
05
101520253035404550
20 24 28 32 36 40 44 48 52 56 60 64 68 72 76 80
radial distance [mm]
D32
[u
m]
Experimental
NastComb prediction
Traverse 3
05
101520253035404550
20 24 28 32 36 40 44 48 52 56 60 64 68 72 76 80
radial distance [mm]
D32
[u
m]
Experimental
NastComb prediction
Traverse 2
05
101520253035404550
20 24 28 32 36 40 44 48 52 56 60 64 68 72 76 80
radial distance [mm]
D32
[u
m]
Experimental
NastComb prediction
Traverse 4
05
101520253035404550
20 24 28 32 36 40 44 48 52 56 60 64 68 72 76 80
radial distance [mm]
D32
[um
]
Experimental
NastComb prediction
Locations of measuring traverses