61st Course Hypersonic Meteoroid Entry Physics of the...
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Use or disclosure of the information contained herein is subject to specific written approval from CIRA
State to state kinetics in 3D fluid-dynamic solver for expanding flows
L. Cutrone
Dept. of Aerothermodynamics, CIRA Italian Aerospace Research Center, Italy.
61st Course Hypersonic Meteoroid Entry Physics of the International School of Quantum Electronics Ettore Majorana Foundation and Centre for Scientific
Culture・ERICE | ITALY ・October 3 – 8, 2017
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INTRODUCTION
In supersonic and hypersonic flows, thermal and chemical non-
equilibrium is one of the fundamental aspect to be taken into account
for plasma characterization
Classical multi-temperature model based on Park’s approach
completely exclude the non-Boltzmann character of the vibrational
distributions that strongly influence the rates of chemical processes
A State-to-state model for kinetics has been implemented in a CFD
code for the 3D simulation of an high enthalpy flow
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OUTLINE
State to state kinetics in 3D fluid-dynamic solver for expanding flows
Governing Equations
Macroscopic vs StS modeling
Numerical issues
3D flow in expanding nozzle
Conclusions
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GOVERNING EQUATIONS
4
x x
inv vis
V S V V
SymWdV F ndS A A dV dV
t r
1 1. .sNW u v w E R R
Reynolds Averaged Navier-Stokes (RANS) Equations for 2D, 2D-axi and 3D
flows for a mixture of gases in thermal and chemical non- equilibrium reads:
density
momentum
energy
chemical-related vars
where the unknowns are:
The dimension of the RANS equation system is then:
CH5N N
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MACROSCOPIC MODELS
• Solution of NS -1 species partial densities
• Solution of NV molecular vibrational energies
#SPECIES Ns NV NCH
N2-N 2 1 1+1(VIB)
AIR 5 3 4+3(VIB)
1. CHEMICAL SYSTEM
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MACROSCOPIC MODELS
2. CHEMICAL SCHEME• Chemical schemes for dissociations (DR), (e.g., Park88, CAST, etc)
#REACTIONS PARK93 STS-MACRO
N2-N 2 2
AIR 18 17
r = 1, Nr (number of reactions)
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MACROSCOPIC MODELS
3. VIBRATIONAL MODEL• Vibrational models for vibration-translation (VT) transfer (e.g., Landau-
Teller) and dissociation-vibration coupling (e.g. Marrone-Treanor, Park)
Strongly tuned on experiments !!
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MISCOSCOPIC (StS) MODELS
• Solution of an equation for each vibrational level
1. CHEMICAL SYSTEM
i = 1, Ns (number of species) l = 1, Nlev(i) (number of levels for the i-th species)
corresponding to a chemical system of NSsts equivalent species
#SPECIES NSSTS
N2-N 69
AIR 116
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NITR
OG
EN
# process type
01 N2(v) + N2 ↔ N2(v-1) + N2 VTm
02 N2(v) + N ↔ N2(v-Dv) + N VTa
03 N2(v) + N2(w-1) ↔ N2(v-1) + N2(w) VV
04 N2(v) + N ↔ 2N2 + NN2 dissociation
05 N2(v) + N2 ↔ 2N2 + N2
OX
YGEN
# process type
06 O2(v) + O2 ↔ O2(v-1) + O2 VTm
07 O2(v) + O2(w-1) ↔ O2(v-1) + O2(w) VTa
08 O2(v) + O ↔ O2(v-Dv) + O VV
09 O2(v) + O ↔ 2O2 + OO2 dissociation
10 O2(v) + O2 ↔ 2O2 + O2
MISCOSCOPIC (StS) MODELS
2. STATE-TO-STATE PROCESSES
• Kinetic schemes for internal processes (VV,VTm,VTa) and dissociations (DRm,DRa)
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NITR
OG
EN O
XID
E
# process type
18 O2(v) + N ↔ NO + O ZELD
19 N2(v) + O ↔ NO + N ZELD
20 NO+ N ↔ N + O + N
NO dissociation
21 NO+ O ↔ N + O + O
22 NO+ NO ↔ N + O + NO
23 NO + O2 ↔ N + O + O2
24 NO + N2 ↔ N + O + N2
MIX
ED
# process type
11 N2(v) + O2 ↔ N2(v-1) + O2VTm
12 N2(v) + O ↔ N2(v-Dv) + O VTa
13 N2(v) + O ↔ 2N2 + O DRa
14 N2(v) + O2 ↔ 2N2 + O2DRm
15 O2(v) + N2 ↔ O2(v-1) + N2VTm
16 O2(v) + N2 ↔ 2O2 + N2DRm
17 O2(v) + N2(w-1) ↔ O2(v-2) + N2(w) VV
STATE-TO-STATE: PROCESSES
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• Classical macroscopic models,
– ,
–
,
– ,
• State-to-state approach
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#SPECIES NCH
N2-N 1+1(VIB)
AIR 4+3(VIB)
#REACTIONS PARK93 STS-MACRO
N2-N 2 2
AIR 18 17
#SPECIES NCH
N2-N 69
AIR 116
#REACTIONS VV VTm VTa DRm DRa TOT
N2-N 2211 67 2278 68 68 4692
AIR 4103 223 5546 229 183 10397
MACROSCOPIC vs MICROSCOPIC
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• Finite volume approach
• Structured grids, complex multi-block 3D topologies
• Spatial integration: FDS, AUSM, with 2 order ENO
• Time integration: Euler explicit, with chemical-related source terms computed with an implicit procedure:
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2
1 2
Ntt t jii i
j j
W t
W t
D
D
Jacobians are usually evaluated numerically, by calling the formula for the source
term N time per cell and iteration
Source calculation per cell and itz
MACRO STS
N2-N 14 4964
AIR 84 13800
CH5N N
STATE-TO-STATE: NUMERICS
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13
2
1 2
Ntt t jii i
j j
W t
W t
D
D
CH
NS CH52
NS CH1 12 2
Ntt t j ji i
i i
j jj j
W WT t t
T W t W t
D
D D
Splitting the sum
Computed
analytically
once for
each cell
Computed analytically since
the temperature dependence
of the rates is known and
easily differentiable
The law of the mass action is a
simple function of the partial
densities: this Jacobian can be
analytically evaluated
CH5N N
prorea
CH CH
rea pro
fr br
1 1 1
ir irR N NN
k ki ir ir
r k kk k
k kM M
ANALYTICAL vs NUMERICAL
~100 times faster
STATE-TO-STATE: NUMERICS
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Nitrogen expansion is studied in a Electric Arc Shock Tube at NASA Ames, having
a 10 cm diameter driven section and a 2D nozzle plug insert.
Optical measurements are available for:
Level population distributions
Vibrational temperature
h° (J/kg) p° (Pa) T° (K) (kg/m3) YN2
Case B 7.30E6 1.0335E7 5616 6.164 1
EAST Nozzle TEST CASE: conditions
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CFD details
FULL 3D and 2D PLANAR configurations
o 270000 cell 3D grid (16blocks)
o 6500 cell 2D grid (3blocks)
Euler and Laminar Navier-Stokes
FDS 2nd order, multi-block
Chemical models:1. PARK’93 (only nitrogen path)
2 species 1 vibrational energies
2 reactions
Landau-Teller VT model
Harmonic oscillator hypothesis
2. CAST MACRO (only nitrogen path)2 species 1 vibrational energies
2 reactions
Based on STS data
An-harmonic oscillator hypothesis
3. FULL STS
EAST Nozzle TEST CASE: CFD details
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3D FLOW FIELD
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N-N2 LEVEL DISTRIBUTIONS
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EFFECTS OF FLUID-DYNAMIC MODELS: 2D vs 3D
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EFFECTS OF FLUID-DYNAMIC VISCOSITY
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EFFECTS OF CHEMICAL MODEL: AXIAL PROFILE OF Tv
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LEVEL POPULATION DISTRIBUTIONS
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AXIAL DISTRIBUTION OF LEVELS
Determinevibrationaltemperature
Determineglobal rates
At the nozzle exit the tail of the vibrationaldistribution is populated by atom recombination.
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RADIAL DISTRIBUTION OF LEVELS at exit
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• The solution algorithm has been optimized so that full 3D state-to-state simulations begins to be feasible
• The chosen “programming” strategy and implementation allows for easy addition of further processes
• Although classical models (Park) provide a better agreement with experimental data, they are strongly tuned on the particular experiment, so
more effective test conditions have to be used to really highlight the real capabilities of such STS model
• Implement oxygen processes to perform a StS simulation with air
• Implement a fully implicit procedure for run acceleration
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CONCLUSIONS AND FUTURE WORKS