Warning
This documentation is for an old version of Cantera. You can find docs for newer versions here.
"""
FIXED_T_FLAME - A burner-stabilized, premixed methane/air flat flame with
multicomponent transport properties and a specified temperature profile.
"""
import cantera as ct
# read temperature vs. position data from a file.
# The file is assumed to have one z, T pair per line, separated by a comma.
def getTempData(filename):
# open the file containing the temperature data for reading
lines = open(filename).readlines()
# check for unix/Windows/Mac line ending problems
if len(lines) == 1:
print('Warning: only one line found.')
print('Possible text file line-ending problem?')
print('The one line found is: ', lines[0])
z = []
T = []
for line in lines:
if line[0] == '#': # use '#' as the comment character
continue
try:
zval, tval = line.split(',')
z.append(float(zval))
T.append(float(tval))
except Exception:
pass
print('read {0} temperature values.'.format(len(z)))
# convert z values into non-dimensional relative positions.
n = len(z)
zmax = z[n-1]
for i in range(n):
z[i] = z[i]/zmax
return z,T
################################################################
# parameter values
p = ct.one_atm # pressure
tburner = 373.7 # burner temperature
mdot = 0.04 # kg/m^2/s
comp = 'CH4:0.65, O2:1, N2:3.76' # premixed gas composition
# The solution domain is chosen to be 1 cm, and a point very near the
# downstream boundary is added to help with the zero-gradient boundary
# condition at this boundary.
initial_grid = [0.0, 0.0025, 0.005, 0.0075, 0.0099, 0.01] # m
tol_ss = [1.0e-5, 1.0e-9] # [rtol atol] for steady-state problem
tol_ts = [1.0e-5, 1.0e-4] # [rtol atol] for time stepping
loglevel = 1 # amount of diagnostic output (0 to 5)
refine_grid = True # 'True' to enable refinement
################ create the gas object ########################
#
# This object will be used to evaluate all thermodynamic, kinetic, and
# transport properties. It is created with two transport managers, to enable
# switching from mixture-averaged to multicomponent transport on the last
# solution.
gas = ct.Solution('gri30.xml', 'gri30_mix')
# set its state to that of the unburned gas at the burner
gas.TPX = tburner, p, comp
# create the BurnerFlame object.
f = ct.BurnerFlame(gas=gas, grid=initial_grid)
# set the properties at the burner
f.burner.mdot = mdot
f.burner.X = comp
f.burner.T = tburner
# read in the fixed temperature profile
[zloc, tvalues] = getTempData('tdata.dat')
# set the temperature profile to the values read in
f.flame.set_fixed_temp_profile(zloc, tvalues)
f.flame.set_steady_tolerances(default=tol_ss)
f.flame.set_transient_tolerances(default=tol_ts)
# show the initial estimate for the solution
f.show_solution()
# don't solve the energy equation
f.energy_enabled = False
# first solve the flame with mixture-averaged transport properties
f.set_refine_criteria(ratio=3.0, slope=0.3, curve=1)
f.set_max_jac_age(50, 50)
f.set_time_step(1.0e-5, [1, 2, 5, 10, 20])
f.solve(loglevel, refine_grid)
f.save('ch4_flame_fixed_T.xml','mixav',
'solution with mixture-averaged transport')
print('\n\n switching to multicomponent transport...\n\n')
f.transport_model = 'Multi'
f.set_refine_criteria(ratio=3.0, slope=0.1, curve=0.2)
f.solve(loglevel, refine_grid)
f.save('ch4_flame_fixed_T.xml','multi',
'solution with multicomponent transport')
# write the velocity, temperature, density, and mole fractions to a CSV file
f.write_csv('flame_fixed_T.csv', quiet=False)
f.show_stats()