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paperIII.py
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paperIII.py
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import matplotlib
matplotlib.use('GTKAgg')
from mpl_toolkits.mplot3d import Axes3D
import sys,os
if sys.platform =='win32' or sys.platform =='win64':
try:
sys.path.append(os.environ['MYPYTHONHOME'])
except:
print 'MYPYTHONHOME does not exist'
sys.path.append('PythonModules')
import shutil,glob
from PyScroll.Plot import plotScrolls as ps
from FileIO.prep_csv2rec import prep_csv2rec as prep
import numpy as np
from matplotlib.mlab import csv2rec
from scipy.optimize import fmin,fmin_l_bfgs_b
from scipy.interpolate import interp1d
import subprocess
from FloodedCycleModeling.LFEC import solveCycle
import CoolProp.FloodProp as FP
from math import pi
import pylab
params = {'axes.labelsize': 10,
'axes.linewidth':0.5,
'font.size':10,
'text.fontsize': 10,
'legend.fontsize': 8,
'legend.labelspacing':0.2,
'xtick.labelsize': 10,
'ytick.labelsize': 10,
'lines.linewidth': 0.5,
'text.usetex': False,
'font.family':'Times New Roman',
'ps.fonttype':42}
pylab.rcParams.update(params)
def FreshenPythonFiles():
if sys.platform == "win32" or sys.platform == "win64":
# Make a local copy of the PythonModules folder
try:
#check that the
oldFolder=os.environ['MYPYTHONHOME']
shutil.rmtree('PythonModules')
except:
pass
try:
shutil.copytree(os.environ['MYPYTHONHOME'],'PythonModules',ignore=shutil.ignore_patterns('Binaries'))
except:
print "Couldn't rebuild PythonModules"
def EricssonLosses():
r=prep('Validation\\Results.csv')
## print r.dtype.names
f=pylab.figure(figsize=(3.5,3.5))
ax=f.add_axes((0.13,0.11,0.82,0.84))
y=r['leakageflank']+r['leakageradial']+r['suction']+r['discharge']+r['mechanical']+r['w_adiabatic']+r['q_scroll_amb']+r['heattransfer']
x=r['p_shaft']
ax.plot(x,y,'bo',ms=4)
ax.plot(np.r_[0,5],np.r_[0,5],'k')
ax.plot(np.r_[0,5],np.r_[0,5*0.97],'k--',lw=0.5)
ax.plot(np.r_[0,5],np.r_[0,5*1.03],'k--',lw=0.5)
ax.text(3.8+0.05,0.97*3.8,'-3%',ha='left',va='top')
ax.text(3.6-0.05,1.03*3.6,'+3%',ha='right',va='bottom')
ax.set_xlim(2,5)
ax.set_ylim(2,5)
ax.set_xlabel('Experimental Shaft Power [kW]')
ax.set_ylabel('Losses+Adiabatic Power [kW]')
f.savefig('EricssonLosses.pdf')
f.savefig('EricssonLosses.eps')
f.savefig('EricssonLosses.png',dpi=600)
pylab.close()
ind = np.arange(27) # the x locations for the groups
width = 0.8 # the width of the bars: can also be len(x) sequence
xL=r['xl']
pratio=r['p_out']/r['p_in']
flank=r['leakageflank']
rad=r['leakageradial']
suct=r['suction']
disc=r['discharge']
mech=r['mechanical']
adia=r['w_adiabatic']
f=pylab.figure(figsize=(3.5,3.5))
ax=f.add_axes((0.1,0.12,0.85,0.83))
tot=adia+flank+rad+suct+disc
l6=pylab.bar(ind, mech, width, color='k', bottom=tot,lw=0.4,label='Mechanical')
tot=tot-disc
l5=pylab.bar(ind, disc, width, color='c', bottom=tot,lw=0.4,label='Discharge')
tot=tot-suct
l4=pylab.bar(ind, suct, width, color='g', bottom=tot,lw=0.4,label='Suction')
tot=tot-rad
l3=pylab.bar(ind, rad, width, color='yellow',bottom=tot,lw=0.4,label='Radial')
tot=tot-flank
l2=pylab.bar(ind, flank, width, color='r', bottom=tot,lw=0.4,label='Flank')
tot=tot-adia
l1=pylab.bar(ind, adia, width, color='b',bottom=tot,lw=0.4,label='Adiabatic')
ax.set_xlabel('Run Number [-]')
ax.set_ylabel('Power terms [kW]')
ax.set_ylim(0,5)
leg=ax.legend(loc='lower right')
frame = leg.get_frame()
frame.set_linewidth(0.5)
f.savefig('ExperimentLosses.pdf')
f.savefig('ExperimentLosses.eps')
f.savefig('ExperimentLosses.png',dpi=600)
pylab.close()
f=open('EricssonTable.tex','w')
head='%Made from paperIII.py function EricssonData()\n'
head=head+r'\begin{table}[ht]'+'\n'
head=head+r'\setlength{\tabcolsep}{3pt}'+'\n'
head=head+r'\renewcommand*\arraystretch{1.0}'+'\n'
head=head+r'\centering'+'\n'
head=head+r'\caption{Irreversibility generation components for each experimental testing point from LFEC experimental testing}'+'\n'
head=head+r'\label{tab:EricssonLosses}'+'\n'
head=head+r'\begin{tabular}{*{%d}{c}}' % 9 +'\n'
head=head+r'\hline\hline' +'\n'
head=head+r'Run& $p_r$ & $x_l$ & $\dot W_{ad}$ & Rad. & Flank & Suct. & Disc.& Mech.'+ r'\\'+'\n'
head=head+r'\#& - & - & kW & kW & kW & kW & kW& kW'+ r'\\'+'\hline\n'
f.write(head)
for i in range(len(flank)):
flank=r['leakageflank'][i]
rad=r['leakageradial'][i]
suct=r['suction'][i]
disc=r['discharge'][i]
mech=r['mechanical'][i]
adia=r['w_adiabatic'][i]
xL=r['xl'][i]
pratio=r['p_out'][i]/r['p_in'][i]
data='%d & %0.2f & \multicolumn{1}{c|}{%0.2f} & %0.2f & %0.2f & %0.2f & %0.2f & %0.2f & %0.2f' %(i+1,pratio,xL,adia,rad,flank,suct,disc,mech)
f.write(data+r'\\'+'\n')
f.write(r'\hline\hline'+'\n')
f.write(r'\end{tabular}'+'\n')
f.write(r'\end{table}'+'\n')
f.close()
def ThreeD():
N1=0
N2=9
xL=r['xl'][N1:N2]
pratio=r['p_out'][N1:N2]/r['p_in'][N1:N2]
flank=r['leakageflank'][N1:N2]
rad=r['leakageradial'][N1:N2]
suct=r['suction'][N1:N2]
disc=r['discharge'][N1:N2]
mech=r['mechanical'][N1:N2]
adia=r['w_adiabatic'][N1:N2]
f=pylab.figure(figsize=(3.5,3.5))
ax=f.add_subplot(111, projection='3d')
dx = 0.01 * np.ones_like(pratio)
dy = 0.03 * np.ones_like(pratio)
tot3=adia+flank+rad+suct+disc
## print xL,pratio,tot3,dx,dy,mech
l6=ax.bar3d(xL,pratio,tot3,dx,dy,mech, color='k',lw=0.4,label='Mechanical',alpha=1.0)
tot3=tot3-disc
l5=ax.bar3d(xL,pratio,tot3,dx,dy,disc, color='c', lw=0.4,label='Discharge',alpha=1.0)
tot3=tot3-suct
l5=ax.bar3d(xL,pratio,tot3,dx,dy,suct, color='yellow', lw=0.4,label='Suction',alpha=1.0)
tot3=tot3-rad
l5=ax.bar3d(xL,pratio,tot3,dx,dy,rad, color='g', lw=0.4,label='Radial',alpha=1.0)
tot3=tot3-flank
l5=ax.bar3d(xL,pratio,tot3,dx,dy,flank, color='r', lw=0.4,label='Flank',alpha=1.0)
tot3=tot3-adia
l5=ax.bar3d(xL,pratio,tot3,dx,dy,adia, color='b', lw=0.4,label='Adiabatic',alpha=1.0)
ax.set_xlabel('Oil Mass Fraction [-]')
ax.set_zlabel('Pressure Ratio [-]')
ax.set_zlabel('Power terms [kW]')
## ax.set_ylim(0,5)
ax.legend(loc='lower right')
f.savefig('ExperimentLosses3D.pdf')
f.savefig('ExperimentLosses3D.eps')
f.savefig('ExperimentLosses3D.png',dpi=600)
pylab.close()
def ConfigA():
r=prep('ConfigA\\Results.csv')
## print r.dtype.names
w=3.5
h=3.5
d=0.15
f=pylab.figure(figsize=(3.5,3.5))
ax=f.add_axes((0.1,0.1,0.8,0.8))
data=np.r_[r['leakageflank'],r['leakageradial'],r['suction'],r['discharge'],r['mechanical']]
labels=['Leakage\n(flank)','Leakage\n(radial)','Suction','Discharge','Mechanical']
(path,labelText,pcts)=ax.pie(data,labels=labels,autopct='%0.1f%%', colors=['yellow','g','r','c','m'])
[t.set_size(8) for t in labelText]
[p.set_size(8) for p in pcts]
[p.set_linewidth(0.5) for p in path]
f.savefig('ConfigALossPie.pdf')
f.savefig('ConfigALossPie.eps',set_bbox='tight')
f.savefig('ConfigALossPie.png',dpi=600)
pylab.close()
path='ConfigA\\Run 0001'
pi=np.pi
axes_size=((0.15,0.18,0.8,0.77))
theta=np.loadtxt(path+'/'+"theta.csv",delimiter=',')
p=np.loadtxt(path+'/'+"p.csv",delimiter=',')
p=np.where(p<1e-10,np.nan,p)
# Plot data
fig=pylab.figure(num=1,figsize=(3.5,2.5))
pylab.axes(axes_size)
##pylab.subplot(131)
pylab.plot(theta,p[1,:],label='$p_s$')
pylab.plot(theta,p[9,:],label='$p_{c1-1}$')
pylab.plot(theta,p[2,:],label='$p_{d1}$')
pylab.plot(theta,p[6,:],label='$p_{ddd}$')
pylab.plot(theta,p[5,:],label='$p_{dd}$')
pylab.plot(theta,p[7,:],'k--',label='$p_{dd}$')
pylab.plot(theta,p[8,:],'k--')
pylab.text(3*pi/2.,500+10,'Suction',ha='center',va='bottom',size=8)
pylab.text(pi/2.,1850-10,'Discharge',ha='center',va='top',size=8)
pylab.text(7*pi/4.,440,'$s_1$',ha='center',va='top',size=10,color='b')
pylab.text(pi,830,'$c_1$',ha='left',va='top',size=10,color='g')
pylab.text(3*pi/2,1150,'$d_1$',ha='left',va='top',size=10,color='r')
pylab.text(3*pi/2,1700,'$dd$',ha='center',va='top',size=10,color='m')
pylab.plot(np.r_[1.36*pi,1.36*pi],np.r_[900,2200],'k--')
pylab.text(1.36*pi-0.05,1450,'Discharge Angle',rotation=90,size=7,ha='right',va='center')
pylab.plot(np.r_[1.72*pi,1.72*pi],np.r_[900,2200],'k--')
pylab.text(1.72*pi+0.05,1000,'Merge',rotation=90,size=7,ha='left',va='center')
pylab.text(3*pi/4,2050,'ddd',color='c',ha='center',va='center')
pylab.xticks([0,pi/2,pi,3*pi/2,2*pi],('0','$\pi$/2','$\pi$','3$\pi$/2','2$\pi$'))
pylab.xlim([0,2*pi])
pylab.ylim([300,2200])
pylab.xlabel(r"$\theta $ [radians]")
pylab.ylabel(r'Pressure [kPa]')
pylab.savefig('ConfigAPressure.pdf')
pylab.savefig('ConfigAPressure.eps')
pylab.savefig('ConfigAPressure.png',dpi=600)
pylab.close()
geo=ps.geoVals()
ps.plotScrollSet(theta=3*pi/2.0,discOn=True,lw=1)
pylab.savefig('ConfigAScrollSet.pdf')
pylab.savefig('ConfigAScrollSet.eps')
pylab.savefig('ConfigAScrollSet.png',dpi=600)
pylab.close()
def ConfigB():
f=pylab.figure(figsize=(4,2))
ax=f.add_axes((0,0,0.5,1))
geo=ps.geoVals()
ps.plotScrollSet(7*3.141592654/4,discOn=True,lw=1,geo=geo,axis=ax)
pylab.gca().set_xlim((-0.017,0.010))
pylab.gca().set_ylim((-0.021,0.006))
ax=f.add_axes((0.5,0,0.5,1))
geo=ps.geoVals()
ps.setDiscGeo(geo,'2Arc',0.001)
geo.disc_x0=-0.00269898
geo.disc_y0=-0.00348883
geo.disc_R=0.01187952
ps.plotScrollSet(7*3.141592654/4,discOn=True,lw=1,geo=geo,axis=ax)
pylab.gca().set_xlim((-0.017,0.010))
a=-0.004
pylab.gca().set_ylim((-0.021-a,0.006-a))
pylab.savefig('ConfigBDischargeBlockage.pdf')
pylab.savefig('ConfigBDischargeBlockage.eps')
pylab.savefig('ConfigBDischargeBlockage.png',dpi=400)
pylab.close()
path='ConfigA\\Run 0001'
A0=np.loadtxt(path+'/'+"Adisc.csv",delimiter=',')
path='ConfigB\\Run 0001'
A1=np.loadtxt(path+'/'+"Adisc.csv",delimiter=',')
path='ConfigB\\Run 0005'
A2=np.loadtxt(path+'/'+"Adisc.csv",delimiter=',')
path='ConfigB\\Run 0009'
A3=np.loadtxt(path+'/'+"Adisc.csv",delimiter=',')
pi=np.pi
axes_size=((0.18,0.20,0.77,0.74))
fig=pylab.figure(figsize=(3.5,2.5))
pylab.axes(axes_size)
pylab.plot(A0[:,0],A0[:,1]*1000**2,label='$p_s$')
## pylab.plot(A1[:,0],A1[:,1]*1000**2,label='$p_s$')
pylab.plot(A2[:,0],A2[:,1]*1000**2,label='$p_s$')
## pylab.plot(A3[:,0],A3[:,1]*1000**2,label='$p_s$')
pylab.text(0.9*3.14,120,'Baseline',ha='center',va='bottom')
pylab.text(0.8*3.14,372,'Larger port',ha='center',va='bottom',rotation=7)
pylab.xticks([0,pi/2,pi,3*pi/2,2*pi],('0','$\pi$/2','$\pi$','3$\pi$/2','2$\pi$'))
pylab.xlim([0,2*pi])
pylab.ylim([0,500])
pylab.xlabel(r"$\theta $ [radians]")
pylab.ylabel(r'Discharge Port Area [mm$^2$]')
pylab.savefig('ConfigBAdisc.pdf')
pylab.savefig('ConfigBAdisc.eps')
pylab.savefig('ConfigBAdisc.png',dpi=600)
pylab.close()
path='ConfigB\\Run 0005'
pi=np.pi
axes_size=((0.15,0.18,0.8,0.77))
theta=np.loadtxt(path+'/'+"theta.csv",delimiter=',')
p=np.loadtxt(path+'/'+"p.csv",delimiter=',')
p=np.where(p<1e-10,np.nan,p)
# Plot data
fig=pylab.figure(num=1,figsize=(3.5,2.5))
pylab.axes(axes_size)
##pylab.subplot(131)
pylab.plot(theta,p[1,:],label='$p_s$')
pylab.plot(theta,p[9,:],label='$p_{c1-1}$')
pylab.plot(theta,p[2,:],label='$p_{d1}$')
pylab.plot(theta,p[6,:],label='$p_{ddd}$')
pylab.plot(theta,p[5,:],label='$p_{dd}$')
pylab.plot(theta,p[7,:],'k--',label='$p_{dd}$')
pylab.plot(theta,p[8,:],'k--')
pylab.text(3*pi/2.,500+10,'Suction',ha='center',va='bottom',size=8)
pylab.text(pi/2.,1850-10,'Discharge',ha='center',va='top',size=8)
pylab.text(7*pi/4.,440,'$s_1$',ha='center',va='top',size=10,color='b')
pylab.text(pi,830,'$c_1$',ha='left',va='top',size=10,color='g')
pylab.text(3*pi/2,1150,'$d_1$',ha='left',va='top',size=10,color='r')
pylab.text(3*pi/2+0.2,1800,'$dd$',ha='center',va='top',size=10,color='m')
pylab.plot(np.r_[1.36*pi,1.36*pi],np.r_[900,2200],'k--')
pylab.text(1.36*pi-0.05,1450,'Discharge Angle',rotation=90,size=7,ha='right',va='center')
th=1.75*pi
pylab.plot(np.r_[th,th],np.r_[900,2200],'k--')
pylab.text(th+0.05,1000,'Merge',rotation=90,size=7,ha='left',va='center')
pylab.text(3*pi/4,1950,'ddd',color='c',ha='center',va='center')
pylab.xticks([0,pi/2,pi,3*pi/2,2*pi],('0','$\pi$/2','$\pi$','3$\pi$/2','2$\pi$'))
pylab.ylim([300,2200])
pylab.xlim([0,2*pi])
pylab.xlabel(r"$\theta $ [radians]")
pylab.ylabel(r'Pressure [kPa]')
pylab.savefig('ConfigBPressure.pdf')
pylab.savefig('ConfigBPressure.eps')
pylab.savefig('ConfigBPressure.png',dpi=600)
pylab.close()
def InlineLabel(xv,yv,x,**kwargs):
def ToPixelCoords(xv,yv,axis,fig):
[Axmin,Axmax]=axis.get_xlim()
[Aymin,Aymax]=axis.get_ylim()
DELTAX_axis=Axmax-Axmin
DELTAY_axis=Aymax-Aymin
width=fig.get_figwidth()
height=fig.get_figheight()
pos=axis.get_position().get_points()
[[Fxmin,Fymin],[Fxmax,Fymax]]=pos
DELTAX_fig=width*(Fxmax-Fxmin)
DELTAY_fig=height*(Fymax-Fymin)
#Convert coords to pixels
x=(xv-Axmin)/DELTAX_axis*DELTAX_fig+Fxmin
y=(yv-Aymin)/DELTAY_axis*DELTAY_fig+Fymin
return x,y
def ToDataCoords(xv,yv,axis,fig):
[Axmin,Axmax]=axis.get_xlim()
[Aymin,Aymax]=axis.get_ylim()
DELTAX_axis=Axmax-Axmin
DELTAY_axis=Aymax-Aymin
width=fig.get_figwidth()
height=fig.get_figheight()
pos=axis.get_position().get_points()
[[Fxmin,Fymin],[Fxmax,Fymax]]=pos
DELTAX_fig=(Fxmax-Fxmin)*width
DELTAY_fig=(Fymax-Fymin)*height
#Convert back to measurements
x=(xv-Fxmin)/DELTAX_fig*DELTAX_axis+Axmin
y=(yv-Fymin)/DELTAY_fig*DELTAY_axis+Aymin
return x,y
axis=kwargs.get('axis',pylab.gca())
fig=kwargs.get('figure',pylab.gcf())
trash=0*x
(xv,yv)=ToPixelCoords(xv,yv,axis,fig)
(x,trash)=ToPixelCoords(x,trash,axis,fig)
#Get the rotation angle
f = interp1d(xv, yv)
y = f(x)
h = 0.001*x
dy_dx = (f(x+h)-f(x-h))/(2*h)
rot = np.arctan(dy_dx)/np.pi*180.
(x,y)=ToDataCoords(x,y,axis,fig)
return (x,y,rot)
dx=0.17
ConfigCAxes=(dx,0.15,0.95-dx,0.8)
def OptimalRb(Vratio,Vdisp,t,phi_os=0.3,F=3):
def OBJECTIVE(rb):
phi_i0=0.0
phi_is=np.pi
delta=12e-6
phi_o0=phi_i0-t/rb
hs=(Vdisp)/(rb**2*2*pi*Vratio*(pi+phi_o0)*(2*phi_os+3*pi-phi_o0))
phi_ie=Vdisp/(4*pi*hs*rb**2*(pi+phi_o0))+(3*pi+phi_o0)/2.0
A_radial=2*delta*rb*((phi_ie-np.pi)**2/2-(phi_is+np.pi)**2/2-phi_i0*(phi_ie-phi_is-2*np.pi))*1e6
Nfl=(phi_ie-phi_is)/(2*pi)
A_flank=2*Nfl*delta*hs*1e6*F
return A_flank+A_radial
return fmin(OBJECTIVE,0.003,ftol=1e-12)
def FindRb():
for Vratio in [1.8,2.1,2.4,2.7,3.0,3.38]:
Vdisp=104.8e-6
t=0.00466
phi_i0=0.0
phi_is=np.pi
phi_os=0.3
delta=12e-6
rb=np.linspace(2e-3,8e-3,100000)
phi_o0=phi_i0-t/rb
hs=(Vdisp)/(rb**2*2*pi*Vratio*(pi+phi_o0)*(2*phi_os+3*pi-phi_o0))
phi_ie=Vdisp/(4*pi*hs*rb**2*(pi+phi_o0))+(3*pi+phi_o0)/2.0
A_radial=2*delta*rb*((phi_ie-np.pi)**2/2-(phi_is+np.pi)**2/2-phi_i0*(phi_ie-phi_is-2*np.pi))*1e6
Nfl=(phi_ie-phi_is)/(2*pi)
A_flank=2*Nfl*delta*hs*1e6*3
minI=np.argmin(A_flank+A_radial)
print 'Vratio: %0.1f rb: %g' %(Vratio,rb[minI])
if Vratio==2.7:
f=pylab.figure(figsize=(3.5,2.5))
ax=f.add_axes(ConfigCAxes)
pylab.plot(rb*1000,A_radial)
pylab.plot(rb*1000,A_flank)
pylab.plot(rb*1000,A_flank+A_radial)
pylab.xlabel(r"Base circle radius [mm]")
pylab.ylabel(r'$A^*$ [mm$^2$]')
(x,y,rot)=InlineLabel(rb*1000,A_radial,3.5)
ax.text(x,y,'Radial',ha='center',va='center',rotation=rot,rotation_mode='anchor',bbox=dict(boxstyle='round',color='white',ec='none',alpha=0.9))
(x,y,rot)=InlineLabel(rb*1000,A_flank,4)
ax.text(x,y,'Flank',ha='center',va='center',rotation=rot,rotation_mode='anchor',bbox=dict(boxstyle='round',color='white',ec='none',alpha=0.9))
(x,y,rot)=InlineLabel(rb*1000,A_flank+A_radial,4)
ax.text(x,y+2.5,'Total',ha='center',va='center',rotation=rot,rotation_mode='anchor',bbox=dict(boxstyle='round',color='white',ec='none',alpha=0.9))
pylab.savefig('EffLeakageArea.pdf')
pylab.savefig('EffLeakageArea.eps')
pylab.savefig('EffLeakageArea.png',dpi=600)
pylab.close()
fig=pylab.figure(figsize=(3.5,2.5))
ax=fig.add_axes(ConfigCAxes)
ax.set_xlim((1.5,3.3))
ax.set_ylim((2.0,6))
DispList=[10e-6,20e-6,40e-6,70e-6,104.8e-6]
for Vdisp in DispList:
Vr=np.linspace(1.5,3.6)
RB=np.zeros_like(Vr)
for i in range(len(Vr)):
Vratio=Vr[i]
RB[i]=OptimalRb(Vratio,Vdisp,t)
pylab.plot(Vr,RB*1000,lw=1.3)
axis=pylab.gca()
xlims=axis.get_xlim()
ylims=axis.get_ylim()
DELTAX=xlims[1]-xlims[0]
DELTAY=ylims[1]-ylims[0]
(x,y,rot)=InlineLabel(Vr,RB*1000,2.1)
# pylab.plot(np.r_[x,x+0.4],np.r_[y,y+0.4*np.tan(rot*DELTAY/DELTAX/180.*np.pi)],'k')
# if Vdisp==104.8e-6:
# dy=1
# else:
# dy=0
dy=-0.22
pylab.text(x,y+dy,r'$V_{disp}$ = '+'%0.1f cm$^3$' %(Vdisp*1e6),ha='center',va='center',rotation=rot,size=8)#,bbox=dict(color='white',boxstyle='round',ec='none',alpha=0.9))
pylab.plot(np.r_[1.8,2.1,2.4,2.7,3.0],np.r_[5.03,4.66,4.31,3.94,3.58],'o',mfc='none',mec='m')
## pylab.plot(np.r_[3.3],np.r_[2.55],'^',mfc='none',mec='g')
pylab.plot(2.4,5.5,'o',mec='m',mfc='none')
pylab.text(2.5,5.5,'LFEC Compressor',ha='left',va='center')
ax.set_xticks((1.5,1.8,2.1,2.4,2.7,3.0,3.3,3.6))
ax.set_xlabel('$V_{ratio}$ [-]')
ax.set_ylabel('$r_b$ [mm]')
pylab.savefig('Optimalrb.pdf')
pylab.savefig('Optimalrb.eps')
pylab.savefig('Optimalrb.png',dpi=600)
pylab.close()
def ConfigC():
## T1=278.0
## p1=500.0
## p2=1850.0
## pratio=p2/p1
## xlv=np.linspace(0,1,5000)
## kstar=np.zeros_like(xlv)
## Vratio=np.zeros_like(xlv)
## Vratiostar=np.zeros_like(xlv)
## a=np.zeros_like(xlv)
## for i in range(len(xlv)):
## xl=xlv[i]
## a[i]=1-FP.VoidFrac('N2','Zerol',T1,p1,xl)
## kstar[i]=FP.kstar_m('N2','Zerol',T1,p1,xl)
## Vratiostar[i]=pratio**(1.0/kstar[i])
## Vratio[i]=Vratiostar[i]/(1-a[i]+a[i]*Vratiostar[i])
##
## def OBJECTIVE_xl(xl):
## xl=xl[0]
## a=1-FP.VoidFrac('N2','Zerol',T1,p1,xl)
## kstar=FP.kstar_m('N2','Zerol',T1,p1,xl)
## Vratiostar=pratio**(1.0/kstar)
## Vratio=Vratiostar/(1-a+a*Vratiostar)
## return 1/Vratio
##
## xl=fmin(OBJECTIVE_xl,0.7)
## print xl
## f=pylab.figure(figsize=(3.5,2.5))
## ax=f.add_axes((0.15,0.15,0.70,0.80))
## ax.plot(xlv,Vratiostar,'k')
## ax.plot(xlv,Vratio,'b')
## ax.plot(xl,1/OBJECTIVE_xl(xl),'bo',ms=3,mew=1,mec='b',mfc='none',lw=0.3)
## ax.set_xlabel('$x_l$ [-]',size=10)
## ax.set_ylabel('Volume Ratios [-]',size=10)
## ax.set_ylim(2.4,4.2)
## ax.set_yticks(np.linspace(2.4,4.2,10))
## ax2=ax.twinx()
## ax2.plot(xlv,kstar,'r')
## ax2.set_ylabel('$k^{*}$ [-]',size=10,color='r')
## ax.text(0.7,2.7,'$k^{*}$',color='r')
## ax.text(0.7,3.6,'$V_{ratio}^{*}$',color='k',rotation=21)
## ax.text(0.8,3.25,'$V_{ratio}$',color='b',ha='center')
## f.savefig('ConfigCVratioIdeal.pdf')
## f.savefig('ConfigCVratioIdeal.eps')
## f.savefig('ConfigCVratioIdeal.png',dpi=600)
## pylab.close()
def Vratio(Ref,Liq,T1,p1,xl,p2,eta=1.0):
h1=FP.h_m(Ref,Liq,T1,p1,xl)
s1=FP.s_m(Ref,Liq,T1,p1,xl)
h2s=FP.h_sp(Ref,Liq,s1,p2,xl,T1)
h2=(h2s-h1)/eta+h1
T2=FP.T_hp(Ref,Liq,h2,p2,xl,T1)
rho1=FP.rho_m(Ref,Liq,T1,p1,xl)
rho2s=FP.rho_m(Ref,Liq,T2,p2,xl)
Vratio=rho2s/rho1
return Vratio
T1=278
p1=500
p2=1850
pratio=p2/p1
Ref='Nitrogen'
fig=pylab.figure(figsize=(3.5,2.5))
ax=fig.add_axes(ConfigCAxes)
ax.set_ylim((1.0,3.5))
#First the ideal curve for N2 and Zerol
XL=[]
VRATIO=[]
Liq='Zerol'
for xl in np.linspace(0,1.0,100):
XL.append(xl)
VRATIO.append(Vratio(Ref,Liq,T1,p1,xl,p2,eta=1.0))
pylab.plot(XL,VRATIO,'b',lw=1,label='Ideal')
(x,y,rot)=InlineLabel(XL,VRATIO,0.2,axis=ax)
pylab.text(x,y,'Ideal',ha='center',va='center',rotation=rot,rotation_mode='anchor',bbox=dict(boxstyle='round',color='white',ec='none',alpha=0.9))
#Next the 60% curve for N2 and Zerol
XL=[]
VRATIO=[]
Liq='Zerol'
for xl in np.linspace(0,1.0,100):
XL.append(xl)
VRATIO.append(Vratio(Ref,Liq,T1,p1,xl,p2,eta=0.6))
pylab.plot(XL,VRATIO,'b--',label='$\eta$=0.6')
(x,y,rot)=InlineLabel(XL,VRATIO,0.2,axis=ax)
pylab.text(x,y,'$\eta_a$ = 0.6',ha='center',va='center',rotation=rot,rotation_mode='anchor',bbox=dict(boxstyle='round',color='white',ec='none',alpha=0.9))
print interp1d(XL,VRATIO)(0.8796)
pylab.xlabel('$x_l$ [-]')
pylab.ylabel('$V_{ratio}$ [-]')
pylab.savefig('VratioN2Zerol.pdf')
pylab.savefig('VratioN2Zerol.eps')
pylab.savefig('VratioN2Zerol.png',dpi=600)
pylab.close()
r=prep('ConfigC\\Results.csv')
f=pylab.figure(figsize=(3.5,2.5))
ax=f.add_axes(ConfigCAxes)
N=19
VratioList=['1.8','2.1','2.4','2.7','3.0']
mt=['-o','-s','-*','-^','-<']
for i in range(4,-1,-1):
rb=r['rb'][i*N:(i+1)*N]*1000
eta_c=r['eta_c'][i*N:(i+1)*N]
ax.plot(rb,eta_c,mt[i],ms=4,label='$V_{ratio}$ = '+VratioList[i],mec='none',mew=0.1)
pylab.xlabel(r"Base circle radius [mm]")
pylab.ylabel(r'Overall isentropic efficiency [-]')
leg=pylab.legend(loc='lower center',numpoints=1)
frame = leg.get_frame()
frame.set_linewidth(0.5)
pylab.savefig('ConfigCeta_c.pdf')
pylab.savefig('ConfigCeta_c.eps')
pylab.savefig('ConfigCeta_c.png',dpi=600)
pylab.close()
## rbv=np.linspace(0.0025,0.006,20)
## Vratiov=np.linspace(1.8,3.0,20)
## (RBV,VRATIOV)=np.meshgrid(rbv,Vratiov)
## ETA=0.0*RBV
## for i in range(len(rbv)):
## for j in range(len(Vratiov)):
## rb=rbv[i]
## vratio=Vratiov[j]
## eta_c=-4.584697022+1084.03786637*rb-321163.091505*rb**(2)-38337008.4761*rb**(3)+11489934645.8*rb**(4)+2.63651770137e+12*rb**(5)-3.85103217203e+14*rb**(6)-1.63350067385e+17*rb**(7)+3.68493663615e+19*rb**(8)-2.10073219716e+21*rb**(9)-0.211549615641*vratio+0.253758321903*vratio**(2)+0.132426017479*vratio**(3)+0.0342253390286*vratio**(4)-0.000798476328877*vratio**(5)-0.00613563590463*vratio**(6)-0.00348600045232*vratio**(7)-0.000729077772629*vratio**(8)+0.000600849416383*vratio**(9)+29.15885081*rb**(+0.2927852684)*vratio**(-1.115372635)+213.1143723*rb*vratio-32.78419709*rb*vratio**2-604.6535839*rb**2*vratio
## ETA[i,j]=eta_c
## fig=pylab.figure(figsize=(3.25,3.25))
## CS=pylab.contour(RBV*1000,VRATIOV,ETA,[0.65,0.675,0.7,0.71,0.72],colors='k',lw=1.5)
## pylab.clabel(CS,fontsize=10,inline=1,fmt='%1.3f %%')
## pylab.close()
f=pylab.figure(figsize=(3.5,2.5))
ax=f.add_axes(ConfigCAxes)
i=3
rb=r['rb'][i*N:(i+1)*N]*1000
rad=r['leakageradial'][i*N:(i+1)*N]
flank=r['leakageflank'][i*N:(i+1)*N]
ax.plot(rb,rad,'-o',ms=4,label='Radial',mec='none',mew=0.1)
ax.plot(rb,flank,'-s',ms=4,label='Flank',mec='none',mew=0.1)
ax.plot(rb,rad+flank,'k-',ms=4,label='Total',mec='none',mew=0.1,lw=1)
pylab.text(4.8,0.22,'Flank',rotation=-15,ha='center',va='center')
pylab.text(4.8,0.6,'Radial',rotation=27,ha='center',va='center')
pylab.text(4.8,0.94,'Total',rotation=15,ha='center',va='center')
pylab.xlabel(r"Base circle radius [mm]")
pylab.ylabel(r'Leakage terms [kW]')
## pylab.legend(loc='center right',numpoints=1)
pylab.savefig('ConfigCleakage.pdf')
pylab.savefig('ConfigCleakage.eps')
pylab.savefig('ConfigCleakage.png',dpi=600)
pylab.close()
phi_i0=r['phi_i0'][i*N:(i+1)*N]
phi_is=r['phi_is'][i*N:(i+1)*N]
phi_ie=r['phi_ie'][i*N:(i+1)*N]
phi_o0=r['phi_o0'][i*N:(i+1)*N]
phi_os=r['phi_os'][i*N:(i+1)*N]
phi_oe=r['phi_oe'][i*N:(i+1)*N]
rb=r['rb'][i*N:(i+1)*N]
h=r['hs'][i*N:(i+1)*N]
disc_x0=r['x_port'][i*N:(i+1)*N]
disc_y0=r['y_port'][i*N:(i+1)*N]
disc_R=r['r_port'][i*N:(i+1)*N]
radialleak=r['leakageradial'][i*N:(i+1)*N]
delta=12e-6
f=pylab.figure(figsize=(3.5,2.5))
ax=f.add_axes(ConfigCAxes)
A_radial=2*delta*rb*(phi_ie*phi_ie/2-phi_is*phi_is/2-phi_i0*(phi_ie-phi_is))*1e6
Nfl=(phi_ie-phi_os-2*pi)/(2*pi)
A_flank=2*Nfl*delta*h*1e6
pylab.plot(rb*1000,A_radial)
pylab.plot(rb*1000,A_flank)
pylab.plot(rb*1000,A_flank+A_radial)
pylab.xlabel(r"Base circle radius [mm]")
pylab.ylabel(r'Leakage area [mm$^2$]')
pylab.savefig('ConfigCleakArea.pdf')
pylab.savefig('ConfigCleakArea.eps')
pylab.savefig('ConfigCleakArea.png',dpi=600)
pylab.close()
## i=4
## geo=ps.geoVals()
## geo.rb=rb[i]
## geo.h=h[i]
## geo.phi_i0=phi_i0[i]
## geo.phi_is=phi_is[i]
## geo.phi_ie=phi_ie[i]
## geo.phi_o0=phi_o0[i]
## geo.phi_os=phi_os[i]
## geo.phi_oe=phi_oe[i]
## geo.disc_x0=disc_x0[i]
## geo.disc_y0=disc_y0[i]
## geo.disc_R=disc_R[i]
## geo.ro=geo.rb*(pi-geo.phi_i0+geo.phi_o0)
## ps.setDiscGeo(geo, '2Arc', r2=0.0003)
## ps.plotScrollSet(pi,geo=geo,discOn=True,lw=1)
## pylab.savefig('ConfigCScrollSet.pdf')
## pylab.savefig('ConfigCScrollSet.eps')
## pylab.savefig('ConfigCScrollSet.png',dpi=600)
## pylab.close()
def ConfigCAngles():
pylab.figure(figsize=(3.5,3.5))
pylab.axes((0.0,0.0,1.0,1.0))
geo=ps.LoadGeo()
phi_i0=geo.phi_i0;
phi_is=geo.phi_is;
phi_ie=geo.phi_ie;
phi_o0=geo.phi_o0;
phi_os=geo.phi_os;
phi_oe=geo.phi_oe;
phi1=np.linspace(phi_is,phi_ie,1000)
phi2=np.linspace(phi_i0,phi_is,1000)
phi3=np.linspace(phi_os,phi_oe,1000)
phi4=np.linspace(phi_o0,phi_os,1000)
(xi1,yi1)=ps.coords_inv(phi1,geo,0,'fi')
(xi2,yi2)=ps.coords_inv(phi2,geo,0,'fi')
(xo1,yo1)=ps.coords_inv(phi3,geo,0,'fo')
(xo2,yo2)=ps.coords_inv(phi4,geo,0,'fo')
#### Inner and outer involutes
pylab.plot(xi1,yi1,'k',lw=1)
pylab.plot(xi2,yi2,'k:',lw=1)
pylab.plot(xo1,yo1,'k',lw=1)
pylab.plot(xo2,yo2,'k:',lw=1)
### Innver involute labels
pylab.plot(xi2[0],yi2[0],'k.',markersize=5,mew=2)
pylab.text(xi2[0],yi2[0]+0.0025,'$\phi_{i0}$',size=8,ha='right',va='bottom')
pylab.plot(xi1[0],yi1[0],'k.',markersize=5,mew=2)
pylab.text(xi1[0]+0.002,yi1[0],'$\phi_{is}$',size=8)
pylab.plot(xi1[-1],yi1[-1],'k.',markersize=5,mew=2)
pylab.text(xi1[-1]-0.002,yi1[-1],' $\phi_{ie}$',size=8,ha='right',va='center')
### Outer involute labels
pylab.plot(xo2[0],yo2[0],'k.',markersize=5,mew=2)
pylab.text(xo2[0]+0.002,yo2[0],'$\phi_{o0}$',size=8,ha='left',va='top')
pylab.plot(xo1[0],yo1[0],'k.',markersize=5,mew=2)
pylab.text(xo1[0]+0.002,yo1[0],'$\phi_{os}$',size=8)
pylab.plot(xo1[-1],yo1[-1],'k.',markersize=5,mew=2)
pylab.text(xo1[-1]-0.002,yo1[-1],' $\phi_{oe}$',size=8,ha='right',va='center')
### Base circle
t=np.linspace(0,2*pi,100)
pylab.plot(geo.rb*np.cos(t),geo.rb*np.sin(t),'b-')
pylab.plot(np.r_[0,geo.rb*np.cos(9*pi/8)],np.r_[0,geo.rb*np.sin(9*pi/8)],'k-')
pylab.text(geo.rb*np.cos(9*pi/8)+0.0005,geo.rb*np.sin(9*pi/8)+0.001,'$r_b$',size=8,ha='right',va='top')
pylab.axis('equal')
pylab.setp(pylab.gca(),'ylim',(min(yo1)-0.005,max(yo1)+0.005) )
pylab.axis('off')
pylab.savefig('FixedScrollAngles.png',dpi=600)
pylab.savefig('FixedScrollAngles.eps')
pylab.savefig('FixedScrollAngles.pdf')
pylab.close()
## def ConfigCdry():
## r=prep('ConfigCdry Joined3\\Results.csv')
##
## f=pylab.figure(figsize=(3.5,2.5))
## ax=f.add_axes((0.18,0.15,0.77,0.8))
##
## N=9
## VratioList=['1.6','1.85','2.1','2.35','2.6']
## mt=['-o','-s','-*','-^','-<']
## print len(r),len(r['rb'])
## for i in range(4,-1,-1):
## rb=r['rb'][i*N:(i+1)*N]*1000
## print rb
## eta_c=r['eta_c'][i*N:(i+1)*N]
## eta_c[eta_c<0.1]=np.nan
## ax.plot(rb,eta_c,mt[i],ms=4,label='$V_{ratio}$ = '+VratioList[i],mec='none',mew=0.1)
##
## pylab.xlabel(r"Base circle radius [mm]")
## pylab.ylabel(r'Overall isentropic efficiency [-]')
## leg=pylab.legend(loc='lower center',numpoints=1)
## frame = leg.get_frame()
## frame.set_linewidth(0.5)
## pylab.savefig('ConfigCdryeta_c.pdf')
## pylab.savefig('ConfigCdryeta_c.eps')
## pylab.savefig('ConfigCdryeta_c.png',dpi=600)
## os.startfile('ConfigCdryeta_c.pdf')
## pylab.close()
##
def ConfigD():
r=prep('ConfigD\\Results.csv')
params = {'ps.fonttype':3}
pylab.rcParams.update(params)
f=pylab.figure(figsize=(3.5,2.5))
ax=f.add_axes((0.18,0.15,0.75,0.80))
for i in [4]:
ax.plot(r['delta_radial'][i*7:(i+1)*7],r['eta_c'][i*7:(i+1)*7])
ax.set_xlabel(r'$\delta_{radial}$, $\delta_{flank}$ [$\mu$m]',size=10)
ax.set_ylabel('Overall Isentropic Efficiency [-]',size=10)
ax.set_ylim(0.7,0.9)
f.savefig('ConfigDetac.pdf')
f.savefig('ConfigDetac.eps')
f.savefig('ConfigDetac.png',dpi=600)
pylab.close()
def ConfigE():
Tc=233
Th=298
eta=0.8
reCalc=False
N=50
prv=np.linspace(1.5,4.5,N)
psv=np.linspace(300,700,N)
(PS,PR)=np.meshgrid(psv,prv)
ETAII=np.zeros_like(PS)
CAP=np.zeros_like(PS)
ETAC=np.zeros_like(PS)
XL=np.zeros_like(PS)
for TL in [223.0,275.0]:
if reCalc==True:
for i in range(len(prv)):
pr=prv[i]
for j in range(len(psv)):
ps=psv[j]
eta=0.70
def OBJECTIVE_Cratio(x):
Run=solveCycle('N2','Zerol','Zerol',ps,x[0],x[1],TL,298,pr,0.9,eta,eta,eta,eta,0.0,1.0,1.0,use_etac_fit=True)
return 1/Run.Cycle.etaII
x0=[10.0,6.0]
b=[(1.0,15.0),(1.0,10.0)]
(x,f,d)=fmin_l_bfgs_b(OBJECTIVE_Cratio,np.array(x0),bounds=b,approx_grad=True)
Run=solveCycle('N2','Zerol','Zerol',ps,x[0],x[1],TL,298,pr,0.9,eta,eta,eta,eta,0.0,1.0,1.0,use_etac_fit=True)
print x,Run.Comp.xL,Run.Exp.xL
print ps,pr,Run.Cycle.etaII*100,Run.ColdHX.Q,Run.Comp.eta_c,Run.Comp.T_in
PS[i,j]=ps
PR[i,j]=pr
ETAII[i,j]=Run.Cycle.etaII
CAP[i,j]=Run.ColdHX.Q
ETAC[i,j]=Run.Comp.eta_c
XL[i,j]=Run.Comp.xL
foldPath=os.path.join('ConfigE Joined','%0.0f'%(TL))
np.savetxt(os.path.join(foldPath,'PS.csv'),PS)
np.savetxt(os.path.join(foldPath,'PR.csv'),PR)
np.savetxt(os.path.join(foldPath,'ETAII.csv'),ETAII)
np.savetxt(os.path.join(foldPath,'CAP.csv'),CAP)
np.savetxt(os.path.join(foldPath,'ETAC.csv'),ETAC)
np.savetxt(os.path.join(foldPath,'XL.csv'),XL)
else:
foldPath=os.path.join('ConfigE Joined','%0.0f'%(TL))
PS=np.loadtxt(os.path.join(foldPath,'PS.csv'))
PR=np.loadtxt(os.path.join(foldPath,'PR.csv'))
ETAII=np.loadtxt(os.path.join(foldPath,'ETAII.csv'))
CAP=np.loadtxt(os.path.join(foldPath,'CAP.csv'))
ETAC=np.loadtxt(os.path.join(foldPath,'ETAC.csv'))
XL=np.loadtxt(os.path.join(foldPath,'XL.csv'))
levelsCoarse=[]
levelsFine=[]
if TL==275:
levelsCoarse=[5,6,7]
levelsFine=[5.5,6.5,7.5]
elif TL==223:
levelsCoarse=[12,15,18]
levelsFine=[13.5,16.5]
fig=pylab.figure(figsize=(3.5,2.5))
ax=fig.add_axes((0.15,0.15,0.8,0.8))
CS=ax.contourf(PS,PR,CAP,cmap=pylab.get_cmap('Blues'))
cb=fig.colorbar(CS)
cb.set_label('Capacity [kW]')
CS=ax.contour(PS,PR,ETAII*100,colors='k',levels=levelsCoarse,linewidths=0.8)
ax.clabel(CS,fontsize=8,inline=1,fmt='%1.1f %%',inline_spacing=1)
CS=ax.contour(PS,PR,ETAII*100,colors='k',levels=levelsFine,linewidths=0.2,linestyles='dashed')
ax.clabel(CS,fontsize=8,inline=1,fmt='%1.1f %%',inline_spacing=1,manual=True)
ax.set_xlabel('$p_s$ [kPa]')
ax.set_ylabel('$p_{ratio}$ [-]')
fig.savefig('ConfigE'+'%0.0f'%(TL)+'.pdf')
fig.savefig('ConfigE'+'%0.0f'%(TL)+'.eps')
fig.savefig('ConfigE'+'%0.0f'%(TL)+'.png',dpi=400)
pylab.close()
## fig=pylab.figure(figsize=(3.5,2.5))
## ax=fig.add_axes((0.15,0.15,0.8,0.8))
## CS=ax.contour(PS,PR,ETAC*100,colors='k')
## ax.clabel(CS,fontsize=10,inline=1,fmt='%1.1f %%')
## ax.set_xlabel('$p_s$ [kPa]')
## ax.set_ylabel('$p_{ratio}$ [-]')
## fig.savefig('ConfigEetac'+'%0.0f'%(TL)+'.pdf')
## fig.savefig('ConfigEetac'+'%0.0f'%(TL)+'.eps')
## fig.savefig('ConfigEetac'+'%0.0f'%(TL)+'.png',dpi=400)
## pylab.close()
fig=pylab.figure(figsize=(3.5,2.5))
ax=fig.add_axes((0.15,0.15,0.8,0.8))
CS=ax.contour(PS,PR,XL*100,colors='k',levels=[65,70,75,80],linewidths=1)
ax.clabel(CS,fontsize=8,inline=1,fmt='%1.1f %%')
CS=ax.contour(PS,PR,XL*100,colors='k',levels=[67.5,72.5,77.5],linewidths=0.2,linestyles='dashed')
ax.clabel(CS,fontsize=8,inline=1,fmt='%1.1f %%')
ax.set_xlabel('$p_s$ [kPa]')
ax.set_ylabel('$p_{ratio}$ [-]')
fig.savefig('ConfigExLopt'+'%0.0f'%(TL)+'.pdf')
fig.savefig('ConfigExLopt'+'%0.0f'%(TL)+'.eps')
fig.savefig('ConfigExLopt'+'%0.0f'%(TL)+'.png',dpi=400)
pylab.close()
def CopyFiles():
if sys.platform.startswith('linux'):
subprocess.call(['sh','cropConfigALossPie.sh'])
else:
subprocess.call(['cropConfigALossPie.bat'])
shutil.copy('EricssonLosses.eps',os.path.join('..','TeX','fig01.eps'))
shutil.copy('ConfigAPressure.eps',os.path.join('..','TeX','fig02.eps'))
shutil.copy('ConfigALossPie.eps',os.path.join('..','TeX','fig03.eps'))
shutil.copy('ConfigBDischargeBlockage.eps',os.path.join('..','TeX','fig04.eps'))
shutil.copy('ConfigBAdisc.eps',os.path.join('..','TeX','fig05.eps'))
shutil.copy('ConfigBPressure.eps',os.path.join('..','TeX','fig06.eps'))
shutil.copy('VratioN2Zerol.eps',os.path.join('..','TeX','fig07.eps'))
shutil.copy('FixedScrollAngles.eps',os.path.join('..','TeX','fig08.eps'))
shutil.copy('ScrollFamily.eps',os.path.join('..','TeX','fig09.eps'))
shutil.copy('EffLeakageArea.eps',os.path.join('..','TeX','fig10.eps'))
shutil.copy('Optimalrb.eps',os.path.join('..','TeX','fig11.eps'))
shutil.copy('ConfigCeta_c.eps',os.path.join('..','TeX','fig12.eps'))
shutil.copy('ConfigCleakage.eps',os.path.join('..','TeX','fig13.eps'))
shutil.copy('ConfigDetac.eps',os.path.join('..','TeX','fig14.eps'))
shutil.copy('EricssonConfig.eps',os.path.join('..','TeX','fig15.eps'))
shutil.copy('ConfigE275.eps',os.path.join('..','TeX','fig16.eps'))
shutil.copy('ConfigExLopt275.eps',os.path.join('..','TeX','fig17.eps'))
shutil.copy('ConfigE223.eps',os.path.join('..','TeX','fig18.eps'))
shutil.copy('EricssonTable.tex',os.path.join('..','TeX','EricssonLossesTable.tex'))
def BuildPDF():
subprocess.call(['python','makeVersions.py','2Col'],cwd=os.path.join('..','TeX'))
def DisplayPDF():
os.startfile(os.path.join('..','TeX','PaperIII_2Col.pdf'))
if __name__=='__main__':
## FreshenPythonFiles()
## EricssonLosses()
## ConfigA()
## ConfigB()
## ConfigC()
## ConfigCAngles()
## FindRb()
###########################ConfigCdry()
## ConfigD()
####ConfigE()
CopyFiles()
BuildPDF()
######################DisplayPDF()