Warning

This documentation is for an old version of Cantera. You can find docs for newer versions here.

adiabatic_flame.py

"""
A freely-propagating, premixed hydrogen flat flame with multicomponent
transport properties.
"""

import cantera as ct

# Simulation parameters
p = ct.one_atm  # pressure [Pa]
Tin = 300.0  # unburned gas temperature [K]
reactants = 'H2:1.1, O2:1, AR:5'  # premixed gas composition

initial_grid = [0.0, 0.001, 0.01, 0.02, 0.029, 0.03]  # m
tol_ss = [1.0e-5, 1.0e-13]  # [rtol atol] for steady-state problem
tol_ts = [1.0e-4, 1.0e-13]  # [rtol atol] for time stepping
loglevel = 1  # amount of diagnostic output (0 to 8)
refine_grid = True  # 'True' to enable refinement, 'False' to disable

# IdealGasMix object used to compute mixture properties
gas = ct.Solution('h2o2.xml')
gas.TPX = Tin, p, reactants

# Flame object
f = ct.FreeFlame(gas, initial_grid)
f.flame.set_steady_tolerances(default=tol_ss)
f.flame.set_transient_tolerances(default=tol_ts)

# Set properties of the upstream fuel-air mixture
f.inlet.T = Tin
f.inlet.X = reactants

f.show_solution()

# Solve with the energy equation disabled
f.energy_enabled = False
f.set_max_jac_age(10, 10)
f.set_time_step(1e-5, [2, 5, 10, 20])
f.solve(loglevel=loglevel, refine_grid=False)
f.save('h2_adiabatic.xml', 'no_energy',
       'solution with the energy equation disabled')

# Solve with the energy equation enabled
f.set_refine_criteria(ratio=3, slope=0.06, curve=0.12)
f.energy_enabled = True
f.solve(loglevel=loglevel, refine_grid=refine_grid)
f.save('h2_adiabatic.xml', 'energy',
       'solution with mixture-averaged transport')
f.show_solution()
print('mixture-averaged flamespeed = {0:7f} m/s'.format(f.u[0]))

# Solve with multi-component transport properties
f.transport_model = 'Multi'
f.solve(loglevel, refine_grid)
f.show_solution()
print('multicomponent flamespeed = {0:7f} m/s'.format(f.u[0]))
f.save('h2_adiabatic.xml','energy_multi',
       'solution with multicomponent transport')

# write the velocity, temperature, density, and mole fractions to a CSV file
f.write_csv('h2_adiabatic.csv', quiet=False)