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Initialize the repository

master
Weiye Wang 3 年前
当前提交
c3c73beb62
共有 12 个文件被更改，包括 43851 次插入 和 0 次删除
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  1. +108
    -0
      N2.dat
  2. +341
    -0
      discharge.csv
  3. +45
    -0
      gen.py
  4. +2795
    -0
      globalOutput.dat
  5. +996
    -0
      grid.dat
  6. +61
    -0
      input.dat
  7. +165
    -0
      nitrogenPlasma.cti
  8. +39065
    -0
      output.dat
  9. +125
    -0
      rad.csv
  10. +33
    -0
      readOutput.py
  11. 二进制
      restart.bin
  12. +117
    -0
      therCondAirPlasma.csv

+ 108
- 0
N2.dat 查看文件

@@ -0,0 +1,108 @@
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1.000000e+4 2.100000e-21

+ 341
- 0
discharge.csv 查看文件

@@ -0,0 +1,341 @@
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6.800000E-04 6.222998E+07

+ 45
- 0
gen.py 查看文件

@@ -0,0 +1,45 @@
import numpy as np
import cantera as ct
import matplotlib.pyplot as plt
import pdb

out=open("initialCondition.dat","w")
mech='ffcm1.cti'
flameSave='ffcm1.fs'
targT = 1100 #K
domainL = 1.0e-02
gridNN = 1000

gas = ct.Solution(mech)
specNN = gas.n_species
flame = ct.FreeFlame(gas)
flame.restore(flameSave)

grid = np.linspace(0,domainL,gridNN)
T = np.zeros(gridNN)
Y_ = np.zeros([specNN,gridNN])

pdb.set_trace()

ctT = np.flip(flame.T)
ctY_ = np.flip(flame.Y,axis=1)
ctGrid = np.flip(-flame.grid)


pdb.set_trace()
ctFlamePos = ctGrid[ np.argwhere(ctT < targT)[0][0] ]
torcFlamePos = domainL / 2.0
ctGrid = ctGrid + (torcFlamePos - ctFlamePos)

T = np.interp(grid, ctGrid, ctT)
for specII in range(specNN) :
Y_[specII] = np.interp(grid,ctGrid,ctY_[specII,:])
for gridII in range(gridNN) :
print(str(gridII))
out.write("%15.6e\t%15.6e\t"%(grid[gridII],T[gridII]))
for specII in range(specNN) :
out.write("%15.6e\t"%(Y_[specII][gridII]))
out.write("%15.6e\n"%(gas.P))
out.close()


+ 2795
- 0
globalOutput.dat
文件差异内容过多而无法显示
查看文件


+ 996
- 0
grid.dat
文件差异内容过多而无法显示
查看文件


+ 61
- 0
input.dat 查看文件

@@ -0,0 +1,61 @@
#Problem constants:
domainLength=5.0e-03 #in meters
constantPressure=1 #1=isobaric, 0=isochoric
dPdt=0.0e0 #Units: Pa/s
problemType=0 #0=heatsource to ignite(premix),1=premix, 2=custom initial condition
reflectProblem=0 #If 1, the initial conditions are reflected across the center of the domain. Useful for spherically imploding flames for instance.
mdot=0.0
initialTemperature=300.0 #in Kelvin
initialPressure=1.0 #in atmospheres
gasFile=nitrogenPlasma.cti #File containing thermodynamic, kinetic, and transport info
gasPhase=gas
transportPhase=transport
transportModel=Mix #Transport model
mixtureComposition=N2:1.0 #Mole Fractions!
crossFile=N2.dat
metric=1 #0=planar,1=cylindrical,2=spherical
heatType=1
ignTime=9e-04 #Time over which energy is supplied in seconds
QDot=6.8e10 #Power supplied in units of W/m3
heatFile=discharge.csv
radFile=rad.csv
therCondFile=therCondAirPlasma.csv
kernelSize=0.5e-03
mixingWidth=0.6e-03 #mixing layer width in m (for diffusion problem)
shift=4e-03 #shift of mixing layer into domain (for diffusion problem)
dirichletInner=0 #Boundary conditions for scalars (T,Y)
dirichletOuter=0
wallTemperature=300.0
#Grid settings:
adaptiveGrid=0
moveGrid=0
Rg=300
gridOffset=0
basePts=1000
gridDensitySlope=70.0e0
fineGridHalfWidth=8e-03
gridRefinement=1000.0e0;
leftRefineFactor=0.01
rightRefineFactor=0.01
refineLeft=1
refineRight=1
position=0.0
isotherm=1000.0
#Solver settings:
nSaves=100 #Save solution every nSaves timesteps
writeEveryRegrid=0
writeRates=0
relativeTolerance=1e-06
radiusTolerance=1e-09 #absolute tolerance for radius
temperatureTolerance=1e-09
pressureTolerance=1e-09
massFractionTolerance=1e-09
bathGasTolerance=1e-09
electronTolerance=1e-15
finalTime=1.0e0 #in seconds
setConstraints=0
suppressAlg=0
nThreads=1
printYdot=0
printY=0
dryRun=0

+ 165
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nitrogenPlasma.cti 查看文件

@@ -0,0 +1,165 @@
units(length='cm', time='s', quantity='mol', act_energy='K')

#ideal_gas(name='gas',
# elements="N E Ar",
# species="""e- N N+ N2 N2+ AR""",
# reactions='all',
# initial_state=state(temperature=300.0, pressure=OneAtm))
#
#ideal_gas(name='transport',
# elements="N E Ar",
# species="""N N+ N2 N2+ AR""",
# transport='Mix',
# initial_state=state(temperature=300.0, pressure=OneAtm))

ideal_gas(name='gas',
elements="N E",
species="""e- N N+ N2 N2+ """,
reactions='all',
initial_state=state(temperature=300.0, pressure=OneAtm))

ideal_gas(name='transport',
elements="N E ",
species="""N N+ N2 N2+ """,
transport='Mix',
initial_state=state(temperature=300.0, pressure=OneAtm))

#-------------------------------------------------------------------------------
# Species data
#-------------------------------------------------------------------------------

species(name='e-',
atoms='E:1',
thermo=(NASA9([298.15, 1000.00],
[ 0.000000000E+00, 0.000000000E+00, 2.500000000E+00,
0.000000000E+00, 0.000000000E+00, 0.000000000E+00,
0.000000000E+00, -7.453750000E+02, -1.172081224E+01]),
NASA9([1000.00, 6000.00],
[ 0.000000000E+00, 0.000000000E+00, 2.500000000E+00,
0.000000000E+00, 0.000000000E+00, 0.000000000E+00,
0.000000000E+00, -7.453750000E+02, -1.172081224E+01]),
NASA9([6000.00, 20000.00],
[ 0.000000000E+00, 0.000000000E+00, 2.500000000E+00,
0.000000000E+00, 0.000000000E+00, 0.000000000E+00,
0.000000000E+00, -7.453750000E+02, -1.172081224E+01])),
note='Ref-Species. Chase,1998 3/82. [g12/98]')

#species(name = "AR",
# atoms = " Ar:1 ",
# thermo = (
# NASA( [ 300.00, 1000.00], [ 2.500000000E+00, 0.000000000E+00,
# 0.000000000E+00, 0.000000000E+00, 0.000000000E+00,
# -7.453750000E+02, 4.366000000E+00] ),
# NASA( [ 1000.00, 5000.00], [ 2.500000000E+00, 0.000000000E+00,
# 0.000000000E+00, 0.000000000E+00, 0.000000000E+00,
# -7.453750000E+02, 4.366000000E+00] )
# ),
# transport = gas_transport(
# geom = "atom",
# diam = 3.33,
# well_depth = 136.50),
# note = "120186"
# )

species(name='N',
atoms='N:1',
thermo=(NASA9([200.00, 1000.00],
[ 0.000000000E+00, 0.000000000E+00, 2.500000000E+00,
0.000000000E+00, 0.000000000E+00, 0.000000000E+00,
0.000000000E+00, 5.610463780E+04, 4.193905036E+00]),
NASA9([1000.00, 6000.00],
[ 8.876501380E+04, -1.071231500E+02, 2.362188287E+00,
2.916720081E-04, -1.729515100E-07, 4.012657880E-11,
-2.677227571E-15, 5.697351330E+04, 4.865231506E+00]),
NASA9([6000.00, 20000.00],
[ 5.475181050E+08, -3.107574980E+05, 6.916782740E+01,
-6.847988130E-03, 3.827572400E-07, -1.098367709E-11,
1.277986024E-16, 2.550585618E+06, -5.848769753E+02])),
transport = gas_transport(
geom = "atom",
diam = 3.30,
well_depth = 71.40),
note='Hf:Cox,1989. Moore,1975. Gordon,1999. [g 5/97]')

species(name='N+',
atoms='E:-1 N:1',
thermo=(NASA9([298.15, 1000.00],
[ 5.237079210E+03, 2.299958315E+00, 2.487488821E+00,
2.737490756E-05, -3.134447576E-08, 1.850111332E-11,
-4.447350984E-15, 2.256284738E+05, 5.076830786E+00]),
NASA9([1000.00, 6000.00],
[ 2.904970374E+05, -8.557908610E+02, 3.477389290E+00,
-5.288267190E-04, 1.352350307E-07, -1.389834122E-11,
5.046166279E-16, 2.310809984E+05, -1.994146545E+00]),
NASA9([6000.00, 20000.00],
[ 1.646092148E+07, -1.113165218E+04, 4.976986640E+00,
-2.005393583E-04, 1.022481356E-08, -2.691430863E-13,
3.539931593E-18, 3.136284696E+05, -1.706646380E+01])),
transport = gas_transport(
geom = "atom",
diam = 3.30,
well_depth = 71.40),
note='Moore,1975. Gordon,1999. [g 6/97]')

species(name='N2',
atoms='N:2',
thermo=(NASA9([200.00, 1000.00],
[ 2.210371497E+04, -3.818461820E+02, 6.082738360E+00,
-8.530914410E-03, 1.384646189E-05, -9.625793620E-09,
2.519705809E-12, 7.108460860E+02, -1.076003744E+01]),
NASA9([1000.00, 6000.00],
[ 5.877124060E+05, -2.239249073E+03, 6.066949220E+00,
-6.139685500E-04, 1.491806679E-07, -1.923105485E-11,
1.061954386E-15, 1.283210415E+04, -1.586640027E+01]),
NASA9([6000.00, 20000.00],
[ 8.310139160E+08, -6.420733540E+05, 2.020264635E+02,
-3.065092046E-02, 2.486903333E-06, -9.705954110E-11,
1.437538881E-15, 4.938707040E+06, -1.672099740E+03])),
transport = gas_transport(
geom = "linear",
diam = 3.62,
well_depth = 97.53,
polar = 1.76,
rot_relax = 4.00),
note='Ref-Elm. Gurvich,1978 pt1 p280 pt2 p207. [tpis78]')

species(name='N2+',
atoms='E:-1 N:2',
thermo=(NASA9([298.15, 1000.00],
[-3.474047470E+04, 2.696222703E+02, 3.164916370E+00,
-2.132239781E-03, 6.730476400E-06, -5.637304970E-09,
1.621756000E-12, 1.790004424E+05, 6.832974166E+00]),
NASA9([1000.00, 6000.00],
[-2.845599002E+06, 7.058893030E+03, -2.884886385E+00,
3.068677059E-03, -4.361652310E-07, 2.102514545E-11,
5.411996470E-16, 1.340388483E+05, 5.090897022E+01]),
NASA9([6000.00, 20000.00],
[-3.712829770E+08, 3.139287234E+05, -9.603518050E+01,
1.571193286E-02, -1.175065525E-06, 4.144441230E-11,
-5.621893090E-16, -2.217361867E+06, 8.436270947E+02])),
transport = gas_transport(
geom = "linear",
diam = 3.62,
well_depth = 97.53,
polar = 1.76,
rot_relax = 4.00),
note='Gurvich,1989 pt1 p323 pt2 p200. [tpis89]')

#-------------------------------------------------------------------------------
# Reaction data
#-------------------------------------------------------------------------------

# Reaction 1
reaction('N2 + N2 <=> N2 + N + N', [7.000000e+21, -1.6, 113200.0])

# Reaction 2
reaction('N2 + N <=> N + N + N', [3.000000e+22, -1.6, 113200.0])

# Reaction 3
reaction('N2 + e- <=> N + N + e-', [3.000000e+24, -1.6, 113200.0])

# Reaction 4
reaction('N + N <=> N2+ + e-', [4.400000e+07, 1.5, 67500.0])

# Reaction 5
reaction('N + e- <=> N+ + e- + e-', [2.500000e+34, -3.82, 168600.0])

+ 39065
- 0
output.dat
文件差异内容过多而无法显示
查看文件


+ 125
- 0
rad.csv 查看文件

@@ -0,0 +1,125 @@
 200 11.97291778
300 11.97291778
400 14.06695182
500 16.5272273
600 19.41779894
700 22.8139245
800 26.80402412
900 31.4919824
1000 36.99985312
1100 43.47103696
1200 51.07401504
1300 60.00673539
1400 70.50176669
1500 82.8323533
1600 97.31952936
1700 114.3404771
1800 134.338347
1900 157.8337954
2000 185.4385403
2100 217.8712876
2200 255.9764431
2300 300.7460971
2400 353.3458541
2500 415.14518
2600 487.753057
2700 573.0598741
2800 673.2866449
2900 791.0428328
3000 929.3942901
3100 1091.943079
3200 1282.921254
3300 1507.301044
3400 1770.924311
3500 2080.654643
3600 2444.556053
3700 2872.10293
3800 3374.42671
3900 3964.605691
4000 4658.005532
4100 5472.679311
4200 6429.837541
4300 7554.400406
4400 8875.646566
4500 10427.97545
4600 12251.80286
4700 14394.61322
4800 16912.19588
4900 19870.09759
5000 23345.32907
5100 27428.37004
5200 32225.5249
5300 37861.69041
5400 44483.60749
5500 52263.68167
5600 61404.47181
5700 72143.96379
5800 84761.76666
5900 99586.39241
6000 117003.8089
6100 137467.489
6200 161510.2168
6300 189757.9588
6400 222946.1618
6500 261938.9004
6600 307751.3736
6700 361576.3364
6800 424815.1535
6900 499114.2852
7000 586408.1533
7100 688969.5055
7200 809468.5874
7300 951042.6642
7400 1117377.701
7500 1312804.329
7557.87249 1157952.829
7767.94646 1694834.173
7978.02043 2463837.08
8218.104967 3675648.167
8458.189503 5329166.51
8698.27404 8213887.869
8938.358577 12030993.16
9178.443114 16547450.51
9418.527651 26075596.59
9758.647411 38643399.75
9898.696724 54146718.36
10188.79887 76094913.18
10438.88693 117128305.8
10693.97675 173164549.4
10889.04544 241659606.8
11249.17224 343321116.9
11586.214 573282880.1
12009.43994 860164676.4
12393.32511 1415252679
12877.24551 1825338037
13409.93308 2587846405
14010.14442 3684201765
14670.37689 5005755421
15248.08031 5978494956
15990.84185 7044885734
16639.0701 7618743608
17311.3068 8056033321
17971.53927 8112669137
18631.77175 7954532434
19292.00423 7869178964
19952.2367 7457080022
20612.46918 7225499348
21272.70166 6970035540
21932.93413 6824045385
22653.18774 6554197355
23313.42022 6369517491
23973.65269 6329264368
24633.88517 6468975915
25234.09651 6684508480
26014.37126 6958369131
26674.60373 7189724889
27334.83621 7524856648
27995.06869 8270570884
28655.30116 8789737262
29315.53364 9059566237
29975.76611 9704705558
30635.99859 9938556243
31296.23107 10248716277
31929.78748 10535066417
32586.68545 10817345696
35017.54139 10860220132

+ 33
- 0
readOutput.py 查看文件

@@ -0,0 +1,33 @@

import numpy as np
import csv
import pdb

wFile = open("output.dat",'r')

gridNN = 0
line = wFile.readline()
while line != "\n" :
if line.lstrip()[0] != "#" :
lineData = line.split()
varNN = len(lineData)
gridNN += 1
line = wFile.readline()

wFile.seek(0,0)

data = []
tmp = np.zeros([gridNN,varNN])

gridII = 0

for line in wFile :
if (line == "\n") and (gridII != 0) :
data.append(tmp)
tmp = np.zeros([gridNN,varNN])
gridII = 0
elif (line != "\n") and (line.lstrip()[0] != "#") :
tmp[gridII,:] = np.array(line.split(),dtype=float)
gridII += 1

np.save("output.npy",data)

二进制
restart.bin 查看文件


+ 117
- 0
therCondAirPlasma.csv 查看文件

@@ -0,0 +1,117 @@
174.4914504716976 0.00,
547.5790157 0.024054983,
923.4842116 0.051546392,
1191.908913 0.065292096,
1514.16604 0.092783505,
1782.590741 0.10652921,
1997.367373 0.120274914,
2266.345147 0.175257732,
2481.490495 0.216494845,
2643.172131 0.271477663,
2751.021341 0.312714777,
3022.211407 0.532646048,
3130.244974 0.587628866,
3184.630474 0.642611684,
3507.809389 0.738831615,
3775.496659 0.697594502,
3935.703435 0.642611684,
4255.932628 0.518900344,
4470.709261 0.532646048,
4632.20654 0.573883162,
4848.273675 0.683848797,
5010.8771 0.807560137,
5173.664882 0.945017182,
5228.603454 1.041237113,
5338.111883 1.206185567,
5393.050455 1.302405498,
5502.743241 1.481099656,
5557.866171 1.591065292,
5612.804743 1.687285223,
5668.11203 1.810996564,
5723.23496 1.920962199,
5833.480819 2.140893471,
5944.279752 2.402061856,
6055.263041 2.676975945,
6166.246331 2.951890034,
6221.553619 3.075601375,
6332.536908 3.350515464,
6443.151483 3.597938144,
6553.766058 3.845360825,
6609.995133 4.037800687,
6719.134847 4.175257732,
6827.53713 4.257731959,
6989.034409 4.298969072,
7095.593115 4.243986254,
7201.598749 4.147766323,
7253.771957 4.037800687,
7359.224518 3.900343643,
7411.582083 3.804123711,
7463.755291 3.694158076,
7568.101706 3.474226804,
7618.431338 3.226804124,
7723.883899 3.089347079,
7773.844815 2.81443299,
7825.833665 2.690721649,
7877.822515 2.567010309,
7981.984573 2.333333333,
8086.330988 2.113402062,
8243.403684 1.824742268,
8348.48753 1.659793814,
8454.124449 1.536082474,
8560.130083 1.439862543,
8612.856363 1.371134021,
8879.990561 1.288659794,
9040.381694 1.24742268,
9469.566243 1.24742268,
9792.192086 1.302405498,
10222.66714 1.39862543,
10492.19799 1.494845361,
10815.92997 1.632302405,
11086.01389 1.76975945,
11356.28217 1.920962199,
11680.56723 2.099656357,
11950.65115 2.237113402,
12166.90264 2.360824742,
12383.52285 2.512027491,
12707.99227 2.704467354,
12978.44491 2.869415808,
13248.52883 3.006872852,
13465.14903 3.158075601,
13735.23295 3.295532646,
14005.13252 3.419243986,
14328.31143 3.515463918,
14651.49035 3.611683849,
14920.28376 3.652920962,
15242.17218 3.652920962,
15617.33994 3.625429553,
15991.95463 3.556701031,
16259.27319 3.487972509,
16580.23981 3.419243986,
16901.20644 3.350515464,
17275.82113 3.281786942,
17596.78775 3.213058419,
17917.93873 3.158075601,
18239.45843 3.130584192,
18775.93912 3.130584192,
19527.38079 3.158075601,
20064.59891 3.213058419,
20494.88961 3.295532646,
21086.67758 3.419243986,
21516.96828 3.501718213,
22109.12496 3.652920962,
22593.80116 3.790378007,
23024.64493 3.914089347,
23509.50548 4.065292096,
23886.70118 4.189003436,
24317.91366 4.340206186,
24695.29372 4.47766323,
25180.52299 4.656357388,
25665.75225 4.835051546,
25935.46746 4.945017182,
26204.9983 5.041237113,
26582.56272 5.192439863,
27013.95956 5.357388316,
27553.38997 5.577319588,
27984.97117 5.756013746,
28416.36801 5.920962199,
28632.06643 6.003436426,

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