def test_nozzle_class():
target_AoAc = 6.
length = 8.
Noz_x = np.linspace(0., length, 200, endpoint=True)
ma_max = mf.Mach_Sigma(target_AoAc, Mach=2.)
ma = 1. + (ma_max-1.)*np.sin(.5*(Noz_x-1.)*np.pi/(length-1.))
Noz_AoAc = mf.Sigma_Mach(ma)
convdiv = noz.nozzle(Noz_x, Noz_AoAc, AsoAc=target_AoAc)
assert convdiv.AsoAc == target_AoAc
assert convdiv.ithroat == 25
def test_nozzle():
target_AoAc = 6.
length = 8.
Noz_x = np.linspace(0., length, 200, endpoint=True)
ma_max = mf.Mach_Sigma(target_AoAc, Mach=2.)
ma = 1. + (ma_max-1.)*np.sin(.5*(Noz_x-1.)*np.pi/(length-1.))
Noz_AoAc = mf.Sigma_Mach(ma)
convdiv = noz.nozzle(Noz_x, Noz_AoAc, AsoAc=target_AoAc, NPR=4.)
assert not np.any(np.isnan(convdiv.Mach()))
assert not np.any(np.isnan(convdiv.Ps()))
assert not np.any(np.isnan(convdiv.Ptot()))
def NPR_choked_supersonic(AsAc):
"""Compute Nozzle Pressure Ratio to get a choked supersonic regime in a nozzle with As/Ac diffuser
Args:
AsAc ([real]): ratio of exit over throat surfaces
Returns:
[real]: Nozzle Pressure ratio (inlet total pressure over exit static pressure)
"""
return Is.PtPs_Mach(mf.MachSup_Sigma(AsAc))
def NPR_shock_at_exit(AsAc):
"""Compute Nozzle Pressure Ratio to get a choked, supersonic regime but shock at exit in a nozzle with As/Ac diffuser
Args:
AsAc ([real]): ratio of exit over throat surfaces
Returns:
[real]: Nozzle Pressure ratio (inlet total pressure over exit static pressure)
"""
Msup = mf.MachSup_Sigma(AsAc)
Msh = sw.downstream_Mn(Msup)
return Is.PtPs_Mach(Msh) / sw.Pi_ratio(Msup)
def set_NPR(self, NPR):
""" Define Nozzle Pressure Ratio (inlet Ptot over outlet Ps) for this case
Define Nozzle pressure ratio and compute Mach number, Ptot and Ps according to nozzle regime
:param NPR: NPR value (>1)
"""
self._Pt = np.ones_like(self.AxoAc)
if NPR < self.NPR0:
_Ms = Is.Mach_PtPs(NPR, gamma=self.gamma)
self._M = mf.MachSub_Sigma(self.AxoAc / self.AsoAc *
mf.Sigma_Mach(_Ms),
gamma=self.gamma)
self._Ps = self._Pt / Is.PtPs_Mach(self._M, gamma=self.gamma)
else:
self._M = np.ones_like(self.AxoAc)
self._M[:self.ithroat + 1] = mf.MachSub_Sigma(
self.AxoAc[:self.ithroat + 1], gamma=self.gamma)
self._M[self.ithroat + 1:] = mf.MachSup_Sigma(
self.AxoAc[self.ithroat + 1:], gamma=self.gamma)
if NPR < self.NPRsw:
# analytical solution for Ms, losses and upstream Mach number of shock wave
Ms = Ms_from_AsAc_NPR(self.AsoAc, NPR)
Ptloss = Is.PtPs_Mach(Ms) / NPR
Msh = sw.Mn_Pi_ratio(Ptloss)
# redefine curves starting from 'ish' index (closest value of Msh in supersonic flow)
ish = np.abs(self._M - Msh).argmin()
self._M[ish:] = mf.MachSub_Sigma(
self.AxoAc[ish:] * mf.Sigma_Mach(Ms) / self.AsoAc)
self._Pt[ish:] = Ptloss
self._Ps = self._Pt / Is.PtPs_Mach(self._M)
def set_NPR(self, NPR):
""" Define Nozzle Pressure Ratio (inlet Ptot over outlet Ps) for this case
:param NPR: NPR value (>1)
"""
self.NPR = NPR
defg.set_gamma(self._gam)
if NPR < self.NPR0: # flow is fully subsonic
_Ms = Is.Mach_PiPs(NPR)
_M = mf.MachSub_Sigma(self.section * mf.Sigma_Mach(_Ms) /
self.section[-1])
_Pt = 0. * _M + NPR
_Ps = _Pt / Is.PiPs_Mach(_M)
else:
# compute Mach, assumed to be subsonic before throat, supersonic after
_Minit = 0. * self.section + .5
_Minit[self.ithroat:] = 2.
_M = mf.Mach_Sigma(self.section / self.section[self.ithroat],
Mach=_Minit)
_Pt = NPR + 0. * _M
# CHECK, there is a shock
# analytical solution for Ms, losses and upstream Mach number of shock wave
Ms = nz.Ms_from_AsAc_NPR(self.AsoAc, NPR)
Ptloss = Is.PiPs_Mach(Ms) / NPR
Msh = sw.Mn_Pi_ratio(Ptloss)
#
if NPR < self.NPRsw: # throat is choked, there may be a shock
# redefine curves starting from 'ish' index (closest value of Msh in supersonic flow)
ish = np.abs(_M - Msh).argmin()
_M[ish:] = mf.MachSub_Sigma(
self.section[ish:] * mf.Sigma_Mach(Ms) / self.section[-1])
_Pt[ish:] = Ptloss * NPR
_Ps = _Pt / Is.PiPs_Mach(_M)
#
self._M = _M
self._Pt = _Pt
self._Ps = _Ps
return
def set_NPR(NPR):
if NPR < NPR0:
_Ms = Is.Mach_PiPs(NPR, gamma=self.model.gamma)
self._M = mf.MachSub_Sigma(self.AsoAc * mf.Sigma_Mach(Ma_col) /
self.AsoAc[-1],
gamma=self.model.gamma)
self._Pt = 0. * coord_x + 1.
self._Ps = _Pt / Is.PiPs_Mach(self._M, gamma=self.model.gamma)
elif NPR < NPRsw:
_M = mf.Mach_Sigma(Noz_AoAc, Mach=_Minit)
#
# analytical solution for Ms, losses and upstream Mach number of shock wave
Ms = nz.Ms_from_AsAc_NPR(target_AoAc, NPR)
Ptloss = Is.PiPs_Mach(Ms) / NPR
Msh = sw.Mn_Pi_ratio(Ptloss)
#
# redefine curves starting from 'ish' index (closest value of Msh in supersonic flow)
ish = np.abs(_M - Msh).argmin()
_M[ish:] = mf.MachSub_Sigma(Noz_AoAc[ish:] * mf.Sigma_Mach(Ms) /
target_AoAc)
_Pt[ish:] = Ptloss
_Ps = _Pt / Is.PiPs_Mach(_M)
def _NPR_Ms_list(AsAc):
"""
Computes all NPR limits and associated exit Mach number
internal function
:param AsAc: ratio of section at exit over throat
:return: result NPR and Mach numbers
:Example:
>>> import aerokit.aero.MassFlow as mf ; mf.Sigma_Mach(Is.Mach_PtPs(np.array(_NPR_Ms_list(2.)[:3:2])))
array([ 2., 2.])
.. seealso:: NPR_choked_subsonic(), NPR_choked_supersonic(), NPR_shock_at_exit()
.. note:: available for scalar or array (numpy) computations
"""
Msub = mf.MachSub_Sigma(AsAc)
NPR0 = Is.PtPs_Mach(Msub)
Msup = mf.MachSup_Sigma(AsAc)
Msh = sw.downstream_Mn(Msup)
NPRsw = Is.PtPs_Mach(Msh) / sw.Pi_ratio(Msup)
NPR1 = Is.PtPs_Mach(Msup)
return NPR0, NPRsw, NPR1, Msub, Msh, Msup
- 8 is the throat of the nozzle
- 9 is the nozzle exit
"""
import numpy as np
import matplotlib.pyplot as plt
#import aerokit.aero.Isentropic as isent
import aerokit.aero.MassFlow as mf
import aerokit.aero.ShockWave as sw
import aerokit.aero.Rayleigh as ray
gam = 1.4 # assumed constant
npts = 50
M0 = 2.8
M2 = 1.5
A2A0 = mf.Sigma_Mach(M2, gam) / mf.Sigma_Mach(M0, gam)
print("A0/A2 for isentropic compression from Mach %4.2f to %4.2f : %6.3f" %
(M0, M2, 1. / A2A0))
A3A2 = 1. / A2A0 * 0.9
A8A2 = .8 * A3A2
fig, ax = plt.subplots(3, 1, figsize=(10, 16))
fig.suptitle(
'Flow features on RAMJET, $M_0=%.2f$, $M_2=%.2f$, $A_8/A_2=%.2f$, $\gamma = %.1f$'
% (M0, M2, A8A2, gam),
fontsize=12,
y=0.93)
ax[0].set_ylabel('$p_{i3}/p_{i0}$', fontsize=10)
ax[0].grid(which='major', linestyle=':', alpha=0.5)
import numpy as np
import aerokit.aero.MassFlow as mf
import matplotlib.pyplot as plt
#
g = 1.4
mmax = 5.
n = 1000
Mach = np.linspace(.05, mmax, n)
Sigma = mf.Sigma_Mach(Mach)
Mres = mf.Mach_Sigma(Sigma, Mach)
fig, ax = plt.subplots(1, 2)
ax[0].plot(Mach, Mres, Mach, mf.__MachSub_sigma(Sigma, g), Mach,
mf.__MachSup_sigma(Sigma, g))
ax[0].set_xlim(0, mmax)
ax[0].set_ylim(0, mmax)
# Taylor expansions
m = np.linspace(0.05, 5, 1000)
gpuogmu = (g + 1.) / (g - 1.)
sig1 = 1. / m / ((g + 1) / 2.)**(gpuogmu / 2.)
sig2 = (1. + (3 - g) / 4. / (g - 1.) * (m - 1.)**2)
sig3 = (m**2 / gpuogmu)**(gpuogmu / 2.) / m
ax[1].plot(m, sig1, m, sig2, m, sig3, m, mf.Sigma_Mach(m))
plt.show()
import flowdyn.mesh as mesh
from flowdyn.xnum import *
from flowdyn.integration import rk3ssp
import flowdyn.modelphy.euler as euler
import flowdyn.modeldisc as modeldisc
import flowdyn.solution.euler_nozzle as sol
gam = 1.4
bctype = "outsub_rh"
ncell = 100
nit_super = 1000
nit_tot = 10000
# expected Mach number at exit when supersonic ; defines As/Ac ratio
Msup = 1.8
AsAc = mf.Sigma_Mach(Msup, gam)
Msub = mf.MachSub_Sigma(AsAc, gam)
NPRsup = Is.PtPs_Mach(Msup, gam)
NPRsub = Is.PtPs_Mach(Msub, gam)
res = {}
meshsim = mesh.unimesh(ncell=ncell, length=10.0)
def S(x): # section law, throat is at x=5
return 1 + (AsAc - 1.0) * (1.0 - np.exp(-0.5 * (x - 2.0)**2))
model = euler.nozzle(gamma=gam, sectionlaw=S)
nozz = sol.nozzle(model, S(meshsim.centers()), NPR=NPRsup)
finit = nozz.fdata(meshsim)
def test_sigma_scalar():
assert mf.Sigma_Mach(.5) == pytest.approx(1.33984375)
assert mf.Sigma_Mach(1.) == 1.
assert mf.Sigma_Mach(2.) == pytest.approx(1.687500)
def test_MachSup_Sigma(AsAc):
mach = mf.MachSup_Sigma(AsAc)
assert (mach > 1)
assert mf.Sigma_Mach(mach) == pytest.approx(AsAc, rel=1.e-6)
def test_sigma_reverse_numpy():
m = np.linspace(.01, 2., 30)
np.testing.assert_allclose(m, mf.Mach_Sigma(mf.Sigma_Mach(m), m))
def test_sigma_def_massflow(m):
assert mf.Sigma_Mach(m, gamma=1.3) == pytest.approx(
mf.WeightMassFlow(1., gamma=1.3) / mf.WeightMassFlow(m, gamma=1.3))
import aerokit.aero.MassFlow as mf
plt.rcParams['font.size'] = 14
plt.rcParams['lines.linewidth'] = 1.5
# for slides
#plt.rcParams['font.size'] = 24 ; plt.rcParams['grid.linewidth'] = 2 ; plt.rcParams['lines.linewidth'] = 4
npoints = 100
gam = 1.4
Mmin = 0.1
Mmax = 4.
Mach = np.log10(np.logspace(Mmin, Mmax, npoints + 1))
debr = mf.WeightMassFlow(Mach, gam)
sig = mf.Sigma_Mach(Mach, gam)
fig = plt.figure(1, figsize=(10, 8))
#fig.suptitle('Ratio to critical state, $\gamma = %.1f$'%gam, y=0.93)
plt.plot(Mach, debr, 'k-')
#plt.axis([Mmin, Mmax, 0., 4.])
plt.xlabel('Mach number')
plt.ylabel('weighted mass flow')
#plt.minorticks_on()
plt.grid(which='major', linestyle=':', alpha=0.8)
#plt.grid(which='minor', linestyle=':', alpha=0.5)
fig.savefig('fct-weightedmf.pdf', bbox_inches='tight')
plt.show()
fig = plt.figure(2, figsize=(10, 8))
