python - 如何反转 CANTERA Python 模块中的程序 adiabetic.py，使其输入绝热温度并给出输出入口温度？

Question

我正在做一个关于不同复杂程度的层流预混火焰数值分析的项目。我非常需要帮助，因为我是 Python 和 Cantera 的新手。我有以下疑问:

1. 我能否修改 adiabetic.py 模块，该模块主要给出混合物的绝热温度，从入口温度到可以从绝热温度给出入口温度作为输入？

程序如下:

"""
Adiabatic flame temperature and equilibrium composition for a fuel/air mixture
as a function of equivalence ratio, including formation of solid carbon.
"""

import cantera as ct
import numpy as np
import sys
import csv

##############################################################################
# Edit these parameters to change the initial temperature, the pressure, and
# the phases in the mixture.

T = 300.0
P = 101325.0

# phases
gas = ct.Solution('gri30.xml')
carbon = ct.Solution('graphite.xml')

# the phases that will be included in the calculation, and their initial moles
mix_phases = [(gas, 1.0), (carbon, 0.0)]

# gaseous fuel species
fuel_species = 'CH4'

# equivalence ratio range
npoints = 50
phi = np.linspace(0.3, 3.5, npoints)

##############################################################################

mix = ct.Mixture(mix_phases)

# create some arrays to hold the data
tad = np.zeros(npoints)
xeq = np.zeros((mix.n_species,npoints))

for i in range(npoints):
    # set the gas state
    gas.set_equivalence_ratio(phi[i], fuel_species, 'O2:1.0, N2:3.76')

    # create a mixture of 1 mole of gas, and 0 moles of solid carbon.
    mix = ct.Mixture(mix_phases)
    mix.T = T
    mix.P = P

    # equilibrate the mixture adiabatically at constant P
    mix.equilibrate('HP', solver='gibbs', max_steps=1000)

    tad[i] = mix.T
    print('At phi = {0:12.4g}, Tad = {1:12.4g}'.format(phi[i], tad[i]))
    xeq[:,i] = mix.species_moles

# write output CSV file for importing into Excel
csv_file = 'adiabatic.csv'
with open(csv_file, 'w') as outfile:
    writer = csv.writer(outfile)
    writer.writerow(['phi','T (K)'] + mix.species_names)
    for i in range(npoints):
        writer.writerow([phi[i], tad[i]] + list(xeq[:,i]))
print('Output written to {0}'.format(csv_file))

if '--plot' in sys.argv:
    import matplotlib.pyplot as plt
    plt.plot(phi, tad)
    plt.xlabel('Equivalence ratio')
    plt.ylabel('Adiabatic flame temperature [K]')
    plt.show()

取自:http://www.cantera.org/docs/sphinx/html/cython/examples/multiphase_adiabatic.html

请问我具体的问题，因为我也不知 Prop 体要问什么。但我知道我想做什么。

Answer 1

这是一个有趣的问题。

原则上应该不会太难。假设您已给出入口燃料成分、当量比和绝热火焰温度，则步骤为:

1. 将温度设置为绝热火焰温度，并针对设定的 T 和 P 平衡燃料-空气混合物。
2. 计算(并保存)混合平均焓。
3. 将组成设置回入口的组成，并调整温度，直到混合物平均焓与步骤 2 中的匹配。