97 lines
2.6 KiB
Python
97 lines
2.6 KiB
Python
"""
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Constant-pressure, adiabatic kinetics simulation with sensitivity analysis
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"""
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import sys
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from Cantera import *
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from Cantera.Reactor import *
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from Cantera.Func import *
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gri3 = GRI30()
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temp = 1500.0
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pres = OneAtm
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gri3.set(T = temp, P = pres, X = 'CH4:0.1, O2:2, N2:7.52')
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r = Reactor(gri3)
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air = Air()
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air.set(T = temp, P = pres)
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env = Reservoir(air)
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# Define a wall between the reactor and the environment, and
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# make it flexible, so that the pressure in the reactor is held
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# at the environment pressure.
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w = Wall(r,env)
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w.set(K = 1.0e6) # set expansion parameter. dV/dt = KA(P_1 - P_2)
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w.set(A = 1.0)
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# enable sensitivity with respect to the rates of the first 10
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# reactions (reactions 0 through 9)
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r.addSensitivityReaction(reactions = range(10))
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sim = ReactorNet([r])
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# set the tolerances for the solution and for the sensitivity
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# coefficients
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sim.setTolerances(rtol = 1.0e-6, atol = 1.0e-15,
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rtolsens = 1.0e-5, atolsens = 1.0e-5)
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time = 0.0
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np = 400
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tim = zeros(np,'d')
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data = zeros([np,6],'d')
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for n in range(np):
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time += 5.0e-6
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sim.advance(time)
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tim[n] = time
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data[n,0] = r.temperature()
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data[n,1] = r.moleFraction('OH')
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data[n,2] = r.moleFraction('H')
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data[n,3] = r.moleFraction('CH4')
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# sensitivity of OH to reaction 2
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data[n,4] = sim.sensitivity('OH',2)
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# sensitivity of OH to reaction 3
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data[n,5] = sim.sensitivity('OH',3)
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print '%10.3e %10.3f %10.3f %14.6e' % (sim.time(), r.temperature(),
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r.pressure(), r.intEnergy_mass())
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#sim.sensitivity("OH",0))
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# plot the results if matplotlib is installed.
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# see http://matplotlib.sourceforge.net to get it
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args = sys.argv
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if len(args) > 1 and args[1] == '-plot':
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try:
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from matplotlib.pylab import *
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clf
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subplot(2,2,1)
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plot(tim,data[:,0])
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xlabel('Time (s)');
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ylabel('Temperature (K)');
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subplot(2,2,2)
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plot(tim,data[:,1])
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xlabel('Time (s)');
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ylabel('OH Mole Fraction');
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subplot(2,2,3)
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plot(tim,data[:,2]);
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xlabel('Time (s)');
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ylabel('H Mole Fraction');
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subplot(2,2,4)
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plot(tim,data[:,3]);
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xlabel('Time (s)');
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ylabel('H2 Mole Fraction');
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figure(2)
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plot(tim,data[:,4],'-',tim,data[:,5],'-g')
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legend([r.sensParamName(2),r.sensParamName(3)],'best')
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xlabel('Time (s)');
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ylabel('OH Sensitivity');
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show()
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except:
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print 'could not make plots'
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else:
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print """To view a plot of these results, run this script with the option -plot"""
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