Air standard Cycle using Python
PV Diagram visualizer.
Explanation:
Step1:
Entering the Title.
Step2:
Defining a function for input parameters(i.e. bore,stroke,con_rod,cr,start_crank,end_crank)
Step3:
Input geometric parametrics, volume computation, and state points and calculating the volumes and pressure ad different states.
Step4:
Plotting volume vs pressure.
Step5:
Calculating and printing thermal eficiency.
#engine kinematics
#otto ycle simulator
import math
import matplotlib.pyplot as plt
def engine_kinematics(bore,stroke,con_rod,cr,start_crank,end_crank):
#geometric paramaeters
a=stroke/2
R=con_rod/a
#volume parameters
v_s=math.pi*(1/4)*pow(bore,2)*stroke
v_c=v_s/(cr-1)
sc=math.radians(start_crank)
ec=math.radians(end_crank)
num_values=100
dtheta=(ec-sc)/(num_values-1)
v=[]
for i in range(0,num_values):
theta=sc+i*dtheta
term1=0.5*(cr-1)
term2=R+1-math.cos(theta)
term3=pow(R,2)-pow(math.sin(theta),2)
term3=pow(term3,0.5)
v.append((1+term1*(term2-term3))*v_c)
return v
#inputs
p1=101325
t1=500
#geometric parametrics
bore=0.1
stroke=0.1
con_rod=0.15
cr=12
gamma=1.4
t3=2300
#volume computation
v_s=(math.pi/4)*pow(bore,2)*stroke
v_c=v_s/(cr-1)
v1=v_c+v_s
#state point 2
v2=v_c
#p2v2^gamma=p1v1^gamma
p2=p1*pow(v1,gamma)/pow(v2,gamma)
#p2v2/t2=p1v1/t1
rhs=p1*v1/t1
t2=p2*v2/rhs
v_compression=engine_kinematics(bore,stroke,con_rod,cr,180,0)
p_compression=[]
constant=p1*pow(v1,gamma)
for v in v_compression:
p_compression.append(constant/pow(v,gamma))
#state point3
v3=v2
#p3v3/t3
rhs=p2*v2/t2
p3=rhs*t3/v3
v_expansion=engine_kinematics(bore,stroke,con_rod,cr,0,180)
p_expansion=[]
constant=p3*pow(v3,gamma)
for v in v_expansion:
p_expansion.append(constant/pow(v,gamma))
#state point4
v4=v1
#p4v46gamma
p4=p3*pow(v3,gamma)/pow(v4,gamma)
#p4v4/t4=rhs
t4=p4*v4/rhs
plt.plot([v2,v3],[p2,p3])
plt.plot(v_compression,p_compression)
plt.plot(v_expansion,p_expansion)
plt.plot([v4,v1],[p4,p1])
plt.show()
#thermal eficiency
A= 1/pow((v1/v2),(gamma-1))
thermal_efficiency=(1-A)*100
print("thermal_efficiency=",thermal_efficiency)
Results:
thermal_efficiency= 62.98928275128466