def __init__(self,**kwargs):
"""Sets constants
Methods:
self.air.set_TempPress_dependents()
Instantiated in hx.py in HX class
"""
if 'RPM' in kwargs:
self.RPM = kwargs['kwargs']
else:
self.RPM = 2000. # engine speed (RPM)
if 'torque' in kwargs:
self.torque = kwargs['torque']
else:
self.torque = 300. # brake torque (lb-ft)
self.displacement = 6.7e-3 # engine swept displacement (m**3)
self.cylinders = 6. # number of cylinders
self.eta_V = 1. # volumetric efficiency of engine. Can exceed unity for
# turbo-charged unthrottled engine. Accounts for error
# in intake manifold pressure estimate.
self.T_intake = 300. # engine intake temperature (K)
self.P_intake = 101.325 # pressure (kPa) at intake manifold
self.air = prop.ideal_gas() # engine working fluid is ideal gas with
# the properties of air
self.air.T = self.T_intake
self.air.P = self.P_intake
self.air.set_TempPres_dependents()
def __init__(self):
"""nothing to do here yet"""
self.folder = '../../../Heat Exchanger Experiments/gen2/'
self.file = '2012-09-04'
self.exh = prop.ideal_gas()
self.exh.P = 101.325
self.cool = DataPoint()
self.set_fit_params()
from scimath.units import * from scimath.units.api import * import properties as prop reload(prop) air = prop.ideal_gas() air.T = UnitScalar(300., units=temperature.K) air.P = UnitScalar(101., units=pressure.kPa) air.c_p_air = air.get_c_p_air(air.T) air.set_TempPres_dependents()
def __init__(self, **kwargs):
"""Sets values of constants"""
self.init_analytical()
self.init_numerical()
self.init_prop_functions()
self.init_experimental()
self.P = 101.325 # Pressure of flow (kPa)
self.lambda_and_Da = np.array(
[
[1e-5, 3.16e-03, 3.14e+00, 6.28e+00, 9.42e+00,
1.25e+01, 1.57e+01, 1.88e+01, 2.19e+01, 2.51e+01,
2.82e+01],
[1e-4, 9.99e-03, 3.14e+00, 6.28e+00, 9.42e+00,
1.25e+01, 1.57e+01, 1.88e+01, 2.19e+01, 2.51e+01,
2.82e+01],
[1e-3, 0.03, 3.14, 6.28, 9.42, 12.6, 15.7, 18.8, 22.0,
25.1, 28.3],
[2e-3, 0.044, 3.14, 6.30, 9.42, 12.6, 15.7, 18.8,
22.0, 25.1, 28.3],
[3e-3, 0.055, 3.14, 6.28, 9.43, 12.6, 15.7, 18.8,
22.0, 25.1, 28.3],
[4e-3, 0.063, 3.14, 6.28, 9.43, 12.6, 15.7, 18.8,
22.0, 25.1, 28.3],
[5e-3, 0.071, 3.14, 6.28, 9.43, 12.6, 15.7, 18.9,
22.0, 25.1, 28.3],
[6e-3, 0.0773, 3.14, 6.28, 9.43, 12.6, 15.7, 18.8,
22.0, 25.1, 28.3],
[7e-3, 0.0836, 3.14, 6.28, 9.43, 12.6, 15.7, 18.8,
22.0, 25.1, 28.3],
[8e-3, 0.0893, 3.14, 6.28, 9.43, 12.6, 15.7, 18.8,
22.0, 25.1, 28.3],
[9e-3, 0.0947, 3.14, 6.28, 9.43, 12.6, 15.7, 18.9,
22.0, 25.1, 28.3],
[0.01, 0.010, 3.14, 6.28, 9.43, 12.6, 15.7, 18.9,
22.0, 25.1, 28.3],
[0.015, 0.122, 3.15, 6.29, 9.43, 12.6, 15.7, 18.9,
22.0, 25.1, 28.3],
[0.02, 0.141, 3.15, 6.29, 9.43, 12.6, 15.7, 18.9,
22.0, 25.1, 28.3],
[0.025, 0.157, 3.15, 6.29, 9.43, 12.6, 15.7, 18.9,
22.0, 25.1, 28.3],
[0.03, 0.172, 3.15, 6.29, 9.43, 12.6, 15.7, 18.9,
22.0, 25.1, 28.2],
[0.04, 0.199, 3.15, 6.29, 9.43, 12.6, 15.7, 18.9,
22.0, 25.1, 28.3],
[0.05, 0.222, 3.16, 6.29, 9.43, 12.6, 15.7, 18.9,
22.0, 25.1, 28.3],
[0.09, 0.300, 3.17, 6.30, 9.43, 12.6, 15.7, 18.9,
22.0, 25.1, 28.3],
[0.1, 0.311, 3.17, 6.30, 9.44, 12.6, 15.7, 18.9, 22.0,
25.1, 28.3],
[0.11, 0.326, 3.18, 6.30, 9.44, 12.6, 15.7, 18.9,
22.0, 25.1, 28.3],
[0.2, 0.433, 3.20, 6.31, 9.45, 12.6, 15.7, 18.9,
22.0, 25.1, 28.3],
[0.3, 0.522, 3.23, 6.33, 9.46, 12.6, 15.7, 18.9,
22.0, 25.1, 28.3],
[0.4, 0.593, 3.26, 6.35, 9.47, 12.6, 15.7, 18.9, 22.0,
25.1, 28.3],
[0.5, 0.653, 3.29, 6.36, 9.48, 12.6, 15.7, 18.9, 22.0,
25.2, 28.3],
[1.0, 0.860, 3.43, 6.44, 9.53, 12.6, 15.8, 18.9, 22.0,
25.2, 28.3],
[5., 1.31, 4.03, 6.91, 9.89, 12.9, 16.0, 19.1, 22.2,
25.3, 28.4],
[10.0, 1.43, 4.31, 7.23, 10.2, 13.2, 16.3, 19.3,
22.4, 25.5, 28.6]
]
)
# Graphically determined eigenvalues corresponding to Da.
# First column is Da, second column is lamba_0, third column
# is lambda_1, and so on...
self.init_lambda_splines()
if 'terms' in kwargs:
self.terms = kwargs['terms']
else:
self.terms = 4
self.A_arr = 2.015e5
# Arrhenius coefficient (1/s)
self.T_a = 5.739e3 # activation temperature (K)
# Nanowire morphology
self.porosity = 0.97 # porosity of nanowires
self.tortuosity = self.porosity ** -1
# tortuosity of nanowires
self.Kn_length = 100e-9
# Knudsen length (m) scale
self.thickness = 5.e-6
# Thickness of wash coat or height of porous media (m). This
# was h_{pore} in the pdf.
# Channel geometry
self.height = 0.0025
# channel height (m)
self.length = 76.2e-3 * 2.
# channel length (m)
self.width = 20e-3 # channel width (m)
self.x_ = self.length / self.height
# dimensionless x. this will need to be reevaluated if length
# or height is changed.
self.y_ = 1.
self.x_array = np.linspace(0, self.x_, 100)
self.y_array = np.linspace(0, self.y_ * 51 / 50, 50)
self.T_ambient = 300. + 273.15
# ambient temperature (K) at which flow rate is measured
self.fuel = prop.ideal_gas(species='C3H8')
self.air = prop.ideal_gas()
self.air.P = self.P
self.fuel.P = self.P
