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89 lines
2.5 KiB
Python
Executable File
89 lines
2.5 KiB
Python
Executable File
#
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# FLAME1 - A burner-stabilized flat flame
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#
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# This script simulates a burner-stablized lean hydrogen-oxygen flame
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# at low pressure.
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#
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from Cantera import *
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from Cantera.OneD import *
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from Cantera.OneD.BurnerFlame import BurnerFlame
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################################################################
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#
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# parameter values
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#
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p = 0.05*OneAtm # pressure
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tburner = 373.0 # burner temperature
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mdot = 0.06 # kg/m^2/s
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rxnmech = 'h2o2.cti' # reaction mechanism file
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mix = 'ohmech' # gas mixture model
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comp = 'H2:1.8, O2:1, AR:7' # premixed gas composition
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# The solution domain is chosen to be 50 cm, and a point very near the
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# downstream boundary is added to help with the zero-gradient boundary
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# condition at this boundary.
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initial_grid = [0.0, 0.02, 0.04, 0.06, 0.08, 0.1,
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0.15, 0.2, 0.4, 0.49, 0.5] # m
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tol_ss = [1.0e-5, 1.0e-13] # [rtol atol] for steady-state
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# problem
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tol_ts = [1.0e-4, 1.0e-9] # [rtol atol] for time stepping
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loglevel = 1 # amount of diagnostic output (0
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# to 5)
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refine_grid = 1 # 1 to enable refinement, 0 to
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# disable
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################ create the gas object ########################
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#
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# This object will be used to evaluate all thermodynamic, kinetic,
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# and transport properties
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#
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gas = IdealGasMix(rxnmech, mix)
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# set its state to that of the unburned gas at the burner
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gas.set(T = tburner, P = p, X = comp)
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f = BurnerFlame(gas = gas, grid = initial_grid)
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# set the properties at the burner
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f.burner.set(massflux = mdot, mole_fractions = comp, temperature = tburner)
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f.set(tol = tol_ss, tol_time = tol_ts)
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f.setMaxJacAge(5, 10)
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f.set(energy = 'off')
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f.init()
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f.showSolution()
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f.solve(loglevel, refine_grid)
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f.setRefineCriteria(ratio = 200.0, slope = 0.05, curve = 0.1)
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f.set(energy = 'on')
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f.solve(loglevel,refine_grid)
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f.save('flame1.xml')
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f.showSolution()
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# write the velocity, temperature, and mole fractions to a CSV file
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z = f.flame.grid()
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T = f.T()
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u = f.u()
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V = f.V()
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fcsv = open('flame1.csv','w')
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writeCSV(fcsv, ['z (m)', 'u (m/s)', 'V (1/s)', 'T (K)', 'rho (kg/m3)']
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+ list(gas.speciesNames()))
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for n in range(f.flame.nPoints()):
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f.setGasState(n)
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writeCSV(fcsv, [z[n], u[n], V[n], T[n], gas.density()]
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+list(gas.moleFractions()))
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fcsv.close()
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print 'solution saved to flame1.csv'
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f.showStats()
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