diff --git a/src/plot.py b/src/plot.py
index e1cc12f..3034fcf 100644
--- a/src/plot.py
+++ b/src/plot.py
@@ -6,77 +6,146 @@ def rpmtorads(rpm):
     return rpm/60*2*math.pi
 
 scale = 1000
-x_lim = 5200
-y_lim = 600
 ratio = 14
 r_eff = 0.7
 
-T_1a = [27.590625] * x_lim
-T_1b = [47.278125] * x_lim
-T_1c = [13.528125] * x_lim
-T_2 = [68.544375] * x_lim #Absolute waarde, is eig. negatief
-T_3 = [120.080625] * x_lim
-
-# w = range(0,x_lim)
-w = np.linspace(0,5050,x_lim)
+RE25_57w = 5050
+RE25_57t = 129
+RE25_57nlA = 8.52/1000
+RE25_57Tnom = 30
+RE25_56w = 8240
+RE25_56t = 209
+RE25_56nlA = 15.2/1000
+RE25_56Tnom = 28.7
+RE25_49w = 10000
+RE25_49t = 264
+RE25_49nlA = 110/1000
+RE25_49Tnom = 11.1
 
 fig, (ax1,ax2,ax3)= plt.subplots(1,3,figsize=(18,6))
 
+RE25_57_Kem = 89.6
+RE25_57_Ksp = 107
+RE25_57_Unom = 48
+RE25_56_Kem = 55
+RE25_56_Ksp = 174
+RE25_56_Unom = 48
+RE25_49_Kem = 7.96
+RE25_49_Ksp = 1200
+RE25_49_Unom = 9
+
+# """
+# TEST FOR RE25 118757
+#############################################################
+x_lim = 5100
+y_lim = 150
+p_lim = RE25_57t/RE25_57_Kem*RE25_57_Unom
+w = np.linspace(0,RE25_57w,scale)
+RE25_57T = np.linspace(RE25_57t,0,scale)
+RE25_57I = np.linspace(RE25_57t/RE25_57_Kem,RE25_57nlA,scale)
+RE25_57nom = [RE25_57Tnom] * scale
+RE25_57nomr = [RE25_57Tnom*ratio*r_eff] * scale
+RE25_57Pel = RE25_57I*RE25_57_Unom
+RE25_57Pas = RE25_57T/1000*rpmtorads(w)
+RE25_57Ploss = RE25_57Pel-RE25_57Pas
+RE25_57Eff = (RE25_57Pas/RE25_57Pel)*100
+ax1.plot(w,RE25_57T,label="xx57")
+ax2.plot(w/ratio,RE25_57T*ratio*r_eff,label="xx57r")
+ax1.plot(w,RE25_57nom,label="xx57nom")
+ax2.plot(w,RE25_57nomr,label="xx57nomr")
+ax3.plot(w,RE25_57Pel,label="P electrical")
+ax3.plot(w,RE25_57Pas,label="P mechanical")
+ax3.plot(w,RE25_57Ploss,label="P loss")
+ax4 = ax1.twinx()
+ax4.plot(w,RE25_57Eff,label="Efficiency",color='C9')
+ax5 = ax2.twinx()
+ax5.plot(w/ratio,RE25_57Eff,label="Efficiency ratio'd",color='C8')
+ax6 = ax3.twinx()
+ax6.plot(w,RE25_57Eff,label="Efficiency",color='C9')
+# """
+
+"""
+# TEST FOR RE25 118756
+#############################################################
+x_lim = 8300
+y_lim = 210
+p_lim = RE25_56t/RE25_56_Kem*RE25_56_Unom
+w = np.linspace(0,RE25_56w,scale)
+RE25_56T = np.linspace(RE25_56t,0,scale)
+RE25_56I = np.linspace(RE25_56t/RE25_56_Kem,RE25_56nlA,scale)
+RE25_56nom = [RE25_56Tnom] * scale
+RE25_56nomr = [RE25_56Tnom*ratio*r_eff] * scale
+RE25_56Pel = RE25_56I*RE25_56_Unom
+RE25_56Pas = RE25_56T/1000*rpmtorads(w)
+RE25_56Ploss = RE25_56Pel-RE25_56Pas
+RE25_56Eff = (RE25_56Pas/RE25_56Pel)*100
+ax1.plot(w,RE25_56T,label="xx56")
+ax2.plot(w/ratio,RE25_56T*ratio*r_eff,label="xx56r")
+ax1.plot(w,RE25_56nom,label="xx56nom")
+ax3.plot(w,RE25_56Pel,label="P electrical")
+ax3.plot(w,RE25_56Pas,label="P mechanical")
+ax3.plot(w,RE25_56Ploss,label="P loss")
+ax4 = ax1.twinx()
+ax4.plot(w,RE25_56Eff,label="Efficiency",color='C9')
+ax5 = ax2.twinx()
+ax5.plot(w/ratio,RE25_56Eff,label="Efficiency ratio'd",color='C8')
+ax6 = ax3.twinx()
+ax6.plot(w,RE25_56Eff,label="Efficiency",color='C9')
+# """
+
+"""
+# TEST FOR RE25 118749
+#############################################################
+x_lim = 10500
+y_lim = 280
+p_lim = RE25_49t/RE25_49_Kem*RE25_49_Unom
+w = np.linspace(0,RE25_49w,scale)
+RE25_49T = np.linspace(RE25_49t,0,scale)
+RE25_49I = np.linspace(RE25_49t/RE25_49_Kem,RE25_49nlA,scale)
+RE25_49nom = [RE25_49Tnom] * scale
+RE25_49nomr = [RE25_49Tnom*ratio*r_eff] * scale
+RE25_49Pel = RE25_49I*RE25_49_Unom
+RE25_49Pas = RE25_49T/1000*rpmtorads(w)
+RE25_49Ploss = RE25_49Pel-RE25_49Pas
+RE25_49Eff = (RE25_49Pas/RE25_49Pel)*100
+ax1.plot(w,RE25_49T,label="xx49")
+ax2.plot(w/ratio,RE25_49T*ratio*r_eff,label="xx49r")
+ax1.plot(w,RE25_49nom,label="xx49nom")
+ax2.plot(w,RE25_49nomr,label="xx49nomr")
+ax3.plot(w,RE25_49Pel,label="P electrical")
+ax3.plot(w,RE25_49Pas,label="P mechanical")
+ax3.plot(w,RE25_49Ploss,label="P loss")
+ax4 = ax1.twinx()
+ax4.plot(w,RE25_49Eff,label="Efficiency",color='C9')
+ax5 = ax2.twinx()
+ax5.plot(w/ratio,RE25_49Eff,label="Efficiency ratio'd",color='C8')
+ax6 = ax3.twinx()
+ax6.plot(w,RE25_49Eff,label="Efficiency",color='C9')
+# """
+
+T_2a = [18.28125] * scale
+T_2b = [116.62425 ] * scale
+T_2c = [51.95475 ] * scale
+T_1a = [79.72875] * scale #Absolute waarde, is eig. negatief
+T_3a = [45.37125] * scale
+
 # ax1.plot(w,T_1a,label="T_1a",linestyle=(0,(3,1,1,1)))
 # ax1.plot(w,T_1b,label="T_1b",linestyle=(0,(3,1,1,1)))
 # ax1.plot(w,T_1c,label="T_1c",linestyle=(0,(3,1,1,1)))
 # ax1.plot(w,T_2,label="T_2",linestyle=(0,(3,1,1,1)))
 # ax1.plot(w,T_3,label="T_3",linestyle=(0,(3,1,1,1)))
 ax2.plot(w,T_1a,label="T_1a",linestyle=(0,(3,1,1,1)))
-ax2.plot(w,T_1b,label="T_1b",linestyle=(0,(3,1,1,1)))
-ax2.plot(w,T_1c,label="T_1c",linestyle=(0,(3,1,1,1)))
-ax2.plot(w,T_2,label="T_2",linestyle=(0,(3,1,1,1)))
-ax2.plot(w,T_3,label="T_3",linestyle=(0,(3,1,1,1)))
-
-RE25_57_Kem = 89.6
-RE25_57_Ksp = 107
-RE25_57_Unom = 48
-
-RE25_57T = np.linspace(129,0,x_lim)
-RE25_57I = np.linspace(129/RE25_57_Kem,.00852,x_lim)
-# RE25_57r = [[129*ratio,0],[0,5050/ratio]]
-RE25_57nom = [30] * x_lim
-RE25_57nomr = [30*ratio*r_eff] * x_lim
-# RE25_57P = [[(RE25_57[0][0]/RE25_57_Kem)*1000,0],[0,RE25_57[1][1]/RE25_57_Ksp]]
-RE25_57Pel = RE25_57I*RE25_57_Unom
-RE25_57Pas = RE25_57T/1000*rpmtorads(w)
-RE25_57Ploss = RE25_57Pel-RE25_57Pas
-RE25_57Eff = (RE25_57Pas/RE25_57Pel)*100
-# RE25_49 = [[232,0],[0,10000]]
-# RE25_49r = [[232*ratio,0],[0,10000/ratio]]
-
-ax1.plot(w,RE25_57T,label="xx57")
-ax2.plot(w/ratio,RE25_57T*ratio*r_eff,label="xx57r")
-ax1.plot(w,RE25_57nom,label="xx57nom")
-ax2.plot(w,RE25_57nomr,label="xx57nomr")
-# plt.plot(RE25_49[1],RE25_49[0],label="xx49")
-# plt.plot(RE25_49r[1],RE25_49r[0],label="xx49r")
-ax3.plot(w,RE25_57Pel,label="P electrical")
-ax3.plot(w,RE25_57Pas,label="P mechanical")
-ax3.plot(w,RE25_57Ploss,label="P loss")
-
-ax4 = ax1.twinx()
-ax4.plot(w,RE25_57Eff,label="Efficiency",color='C9')
-
-
-ax5 = ax2.twinx()
-ax5.plot(w/ratio,RE25_57Eff,label="Efficiency ratio'd",color='C8')
-
-ax6 = ax3.twinx()
-ax6.plot(w,RE25_57Eff,label="Efficiency",color='C9')
-
+ax2.plot(w,T_2a,label="T_1b",linestyle=(0,(3,1,1,1)))
+ax2.plot(w,T_2b,label="T_1c",linestyle=(0,(3,1,1,1)))
+ax2.plot(w,T_2c,label="T_2",linestyle=(0,(3,1,1,1)))
+ax2.plot(w,T_3a,label="T_3",linestyle=(0,(3,1,1,1)))
 
 ax1.set_xlim(0,x_lim)
-ax1.set_ylim(0,150)
-ax2.set_xlim(0,400)
-ax2.set_ylim(0,1200)
+ax1.set_ylim(0,y_lim)
+ax2.set_xlim(0,x_lim/ratio)
+ax2.set_ylim(0,y_lim*ratio*r_eff)
 ax3.set_xlim(0,x_lim)
-ax3.set_ylim(0,80)
+ax3.set_ylim(0,p_lim+10)
 ax4.set_ylim(0,100)
 ax5.set_ylim(0,100)
 ax6.set_ylim(0,100)
@@ -98,6 +167,7 @@ ax2.legend(loc='upper left')
 ax3.legend(loc='upper left')
 ax4.legend(loc='upper right')
 ax5.legend(loc='upper right')
+ax6.legend(loc='upper right')
 
 
 plt.show()