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AIM: To write a program in Python to solve an Otto cycle and make plots for it. OBJECTIVE : To solve and find out different state variables in the Otto cycle and plot its p-V diagram. To calculate the thermal efficiency of the given Otto cycle. THEORY: The Otto cycle is the ideal cycle for spark-ignition…
Shubhranshu Mishra
updated on 03 Jul 2020
AIM: To write a program in Python to solve an Otto cycle and make plots for it.
OBJECTIVE :
THEORY: The Otto cycle is the ideal cycle for spark-ignition reciprocating engines. In most spark-ignition engines, the piston executes four complete strokes (two mechanical cycles) within the cylinder, and the crankshaft completes two revolutions for each thermodynamic cycle. These engines are called four-stroke internal combustion engines.
Initially, both the intake and the exhaust valves are closed, and the piston is at its lowest position (BDC). During the compression stroke, the piston moves upward, compressing the air-fuel mixture. Shortly before the piston reaches its highest position (TDC), the spark plug fires and the mixture
ignites, increasing the pressure and temperature of the system. The high-pressure gases force the piston down, which in turn forces the crankshaft to rotate, producing a useful work output during the expansion or power stroke. At the end of this stroke, the piston is at its lowest position (the completion
of the first mechanical cycle), and the cylinder is filled with combustion products. Now the piston moves upward one more time, purging the exhaust gases through the exhaust valve (the exhaust stroke), and down a second time, drawing in the fresh air-fuel mixture through the intake valve (the intake
stroke). Notice that the pressure in the cylinder is slightly above the atmospheric value during the exhaust stroke and slightly below during the intake stroke.
Fig.1 -Actual and ideal cycles in spark-ignition engines and their p-V diagrams.
The four processes in an Otto cycle are:
GOVERNING EQUATIONS :
Various equations of Otto cycle are involved in this project. These are :
where R = length of connecting rod/crank radius ,
BODY OF THE CONTENT :
EXPLANATION OF PYTHON CODES :
PYTHON CODE FOR SOLVING AND PLOTTING CURVE :
(I) Code is inserted as HTML/XML Language
''' A program to calculate different state variables in an Otto Cycle and
to calculate its thermal efficiency and plot it on p-v diagram '''
import math
import matplotlib.pyplot as plt
def engine_kinematics(bore,stroke,connecting_rod,c_r,start_crank_angle,end_crank_angle):
# Engine geometry properties
r = stroke/2
n = connecting_rod/r
# Volume parameters
v_swept = (math.pi/4)*pow(bore,2)*stroke
v_clearance = v_swept/(c_r -1)
theta_startcrank = math.radians(start_crank_angle)
theta_endcrank = math.radians(end_crank_angle)
num_val = 100
dtheta = (theta_endcrank - theta_startcrank)/(num_val - 1)
V = []
for i in range(0,num_val):
theta = theta_startcrank + i*dtheta
term_1 = 0.5*(c_r - 1)
term_2 = n + 1 - math.cos(theta)
term_3 = (pow(n,2) - pow(math.sin(theta),2))
term_3 = pow(term_3,0.5)
V.append((1 + term_1* (term_2 -term_3))*v_clearance)
return V
# Inputs varibale
gamma = 1.4 # for air gamma= 1.4
T3 = 2000 # max temp inside engine cyr
# State variable
# ambient atmospheric conditions assumed
p1 = 101325
T1 = 350
# Engine geometry properties
bore = 0.15
stroke = 0.2
connecting_rod = 0.8
c_r = 10
# Calculating swept volume and clearance volume
v_swept = (math.pi/4)*pow(bore,2)*stroke
v_clearance = v_swept/(c_r -1)
v1 = v_swept + v_clearance
v2 = v_clearance
# state variables at state point 2
# p2*v2^gamma = p1*v1^gamma --- Isentropic compression
p2 = p1* pow(c_r,gamma)
# (p1*v1)/T1 = (p2*v2)/T2 | T2 = p2*v2*T1/(p1*v1)
T2 = p2*v2*T1/(p1*v1)
V_comp = engine_kinematics(bore,stroke,connecting_rod,c_r,180,0)
C_const = p1*pow(v1,gamma)
P_comp = []
for v in V_comp:
P_comp.append(C_const/pow(v,gamma))
# State variables at state point 3
v3 = v2 # Isochoric process
''' (p3*v3)/T3 = (p2*v2)/T2 | p3 = p2*T3/(T2) '''
p3 = p2*T3/(T2)
V_expp = engine_kinematics(bore,stroke,connecting_rod,c_r,0,180)
C_const = p3*pow(v3,gamma)
P_expp = []
for v in V_expp:
P_expp.append(C_const/pow(v,gamma))
# state variables at state point 4
v4 = v1 # Isochoric process
''' p3*v3^gamma = p4*v4^gamma ''' # Isentropic expansion process
p4 = p3*pow(v3,gamma)/pow(v4,gamma)
''' (p3*v3)/T3 = (p4*v4)/T4 | T4 = p4*v4*T3/(p3*v3) '''
T4 = p4*v4*T3/(p3*v3)
plt.plot(V_comp,P_comp)
plt.plot([v2,v3],[p2,p3])
plt.plot(V_expp,P_expp)
plt.plot([v4,v1],[p4,p1])
plt.ylim([-500000,8000000])
plt.xlim([0,0.005])
plt.xlabel('Volume (m^3)')
plt.ylabel('Pressure(Pa)')
plt.title('p-V diagram of an Otto Cycle')
plt.text(0.00385,-250000,r'$ 1 $')
plt.text(0.0002,2000000,r'$ 2 $')
plt.text(0.0002,5850000,r'$ 3 $')
plt.text(0.00385,400000,r'$ 4 $')
plt.grid()
plt.show()
#Calculating thermal efficiency
thermal_efficincy = 1- (1/pow((c_r),(gamma-1)))
print('Thermal efficiency of given Otto Cycle is :',thermal_efficincy)
NOTE:- Python throws an error if there is indentation mismatching. So in order to avoid this follow the spacing as it is pasted here.
RESULTS :
CONCLUSION: The desired and correct p-V diagram of the Otto cycle was obtained using an array of volume inside the engine cylinder at a different crank angle.
REFERENCES: The theory and fig 1 is derived from Thermodynamics- An engineering approach by Y.A Cengel.
NOTATIONS :
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