def plot_tsp3d():
fig = plt.figure()
ax = Axes3D(fig)
pp = np.logspace(-3,3,20)
ss = np.linspace(0.,10., 40)
xdata,ydata = np.meshgrid(pp, ss)
zdata = np.zeros(xdata.shape)
for i, p in enumerate(pp):
for j, s in enumerate(ss):
T = None
if not freesteam.bounds_ps(p*1e5,s*1e3,0):
try:
T = freesteam.steam_ps(p*1e5,s*1e3).T
except:
pass
zdata[j, i]= T
ax.plot_wireframe(xdata, ydata, zdata, rstride=1, cstride=1)
ax.set_xlabel('Pressure / [bar]')
ax.set_ylabel('Entropy / [kJ/kgK]')
ax.set_zlabel('Temperature / [K]')
TT0 = np.linspace(273.15, freesteam.TCRIT, 100)
psat = [freesteam.psat_T(T)/1e5 for T in TT0]
sf = [freesteam.region4_Tx(T,0).s/1e3 for T in TT0]
sg = [freesteam.region4_Tx(T,1).s/1e3 for T in TT0]
ax.plot(psat, sf, TT0,'k-')
ax.plot(psat, sg, TT0,'r-')
plt.show()
def plot_tsp3d():
fig = plt.figure()
ax = Axes3D(fig)
pp = np.logspace(-3, 3, 20)
ss = np.linspace(0., 10., 40)
xdata, ydata = np.meshgrid(pp, ss)
zdata = np.zeros(xdata.shape)
for i, p in enumerate(pp):
for j, s in enumerate(ss):
T = None
if not freesteam.bounds_ps(p * 1e5, s * 1e3, 0):
try:
T = freesteam.steam_ps(p * 1e5, s * 1e3).T
except:
pass
zdata[j, i] = T
ax.plot_wireframe(xdata, ydata, zdata, rstride=1, cstride=1)
ax.set_xlabel('Pressure / [bar]')
ax.set_ylabel('Entropy / [kJ/kgK]')
ax.set_zlabel('Temperature / [K]')
TT0 = np.linspace(273.15, freesteam.TCRIT, 100)
psat = [freesteam.psat_T(T) / 1e5 for T in TT0]
sf = [freesteam.region4_Tx(T, 0).s / 1e3 for T in TT0]
sg = [freesteam.region4_Tx(T, 1).s / 1e3 for T in TT0]
ax.plot(psat, sf, TT0, 'k-')
ax.plot(psat, sg, TT0, 'r-')
plt.show()
import freesteam
import matplotlib
#matplotlib.use('gtkcairo')
from pylab import *
import math
figure()
n = 400
TT = [273.15 + (freesteam.TCRIT - 273.15) * x / n for x in range(n + 1)]
hf = [freesteam.region4_Tx(T, 0).h / 1e3 for T in TT]
hg = [freesteam.region4_Tx(T, 1).h / 1e3 for T in TT]
plot(hf, TT, 'b-')
plot(hg, TT, 'r-')
pp = logspace(-3, 3) * 1e5
# these are the pressures we're interested in here
pp = [freesteam.psat_T(50 + 273.15), 3e6, 12e6, 165e5, 300e5]
print("low p =", pp[0])
hh = arange(50., 4500., 100) * 1e3
hh1 = arange(50., 4500., 20) * 1e3
x = []
y = []
u = []
v = []
for p in pp:
imshow(im,
extent=[smin / 1e3, smax / 1e3, Tmin, Tmax],
origin='lower',
aspect='auto',
interpolation='nearest',
alpha=0.6)
# SATURATION CURVES
Tmin = 273.15
Tmax = freesteam.TCRIT
n = 1000
DT = (Tmax - Tmin) / n
TT0 = 273.15 + DT * array(range(n + 1))
psat = array([freesteam.psat_T(T) / 1e6 for T in TT0])
sf = [freesteam.region4_Tx(T, 0).s / 1e3 for T in TT0]
sg = [freesteam.region4_Tx(T, 1).s / 1e3 for T in TT0]
plot(sf, TT0, 'b-')
plot(sg, TT0, 'r-')
# LINES OF CONSTANT PRESSURE
pp = logspace(-3, 3, 50) * 1e5
ss = arange(0., 10., 0.1) * 1e3
for p in pp:
TT = []
for s in ss:
T = None
if not freesteam.bounds_ps(p, s, 0):
try:
import freesteam
import matplotlib
matplotlib.use('gtkcairo')
from pylab import *
import math
figure()
hold(1)
n = 400
TT = [273.15 + (freesteam.TCRIT - 273.15)*x/n for x in range(n+1)]
hf = [freesteam.region4_Tx(T,0).h/1e3 for T in TT]
hg = [freesteam.region4_Tx(T,1).h/1e3 for T in TT]
plot(hf,TT,'b-')
plot(hg,TT,'r-')
pp = logspace(-3,3)*1e5
# these are the pressures we're interested in here
pp = [freesteam.psat_T(50+273.15), 3e6, 12e6, 165e5, 300e5]
print "low p =",pp[0]
hh = arange(50.,4500.,100)*1e3
hh1 = arange(50.,4500.,20)*1e3
x = []
y = []
u = []
#print "T = %f K, s = %f kg/kgK, region[%d,%d] = %d" % (T,s/1e3,x,y,r) im[x,y] = float(r) / 4. y += 1 x += 1 imshow(im,extent=[smin/1e3,smax/1e3,Tmin,Tmax],origin='lower',aspect='auto',interpolation='nearest',alpha=0.6) # SATURATION CURVES Tmin = 273.15 Tmax = freesteam.TCRIT n = 1000 DT = (Tmax - Tmin)/n TT0 = 273.15 + DT*array(range(n+1)) psat = array([freesteam.psat_T(T)/1e6 for T in TT0]) sf = [freesteam.region4_Tx(T,0).s/1e3 for T in TT0] sg = [freesteam.region4_Tx(T,1).s/1e3 for T in TT0] plot(sf,TT0,'b-') plot(sg,TT0,'r-') # LINES OF CONSTANT PRESSURE pp = logspace(-3,3,50)*1e5 ss = arange(0.,10.,0.1)*1e3 for p in pp: TT = [] for s in ss: T = None if not freesteam.bounds_ps(p,s,0): try:
matplotlib.use('gtkcairo')
from pylab import *
import math, sys
figure()
hold(1)
# SATURATION CURVE
Tmin = 273.15
Tmax = freesteam.TCRIT
n = 1000
DT = (Tmax - Tmin)/n
TT0 = 273.15 + DT*array(range(n+1))
psat = array([freesteam.psat_T(T)/1e6 for T in TT0])
uf = [freesteam.region4_Tx(T,0).u/1e3 for T in TT0]
ug = [freesteam.region4_Tx(T,1).u/1e3 for T in TT0]
# REGION MAP
umin = 0
umax = 3800e3
Du = umax -umin
pmin = 1.e-3*1e5
pmax = 1.e3*1e5
DP = pmax - pmin
pp = arange(pmin,pmax,DP/100)
uu = arange(umin,umax,Du/100)
im = zeros((len(pp),len(uu)))
x = 0
for p in pp: