#Importing libraries
import matplotlib.pyplot as graph
import numpy as np
from numpy import trapz as trp
#Compatability check
try:
f=open(\'engine_data .out\')
except FileNotFoundError:
print(\'File not recognized. Please provide a valid CONVERGE output file!\')
sys.exit()
#input
file = \'engine_data .out\'
count = 0 ; count_head = 0
column_title = [] ; column_units = []
for line in open(file):
if \'#\' not in line:
count = count + 1
columns = len(str.split(line))
else:
count_head = count_head +1
if count_head == 3:
line_content = str.split(line)
for i in range(0,len(line_content)):
column_title.append(line_content[i])
elif count_head == 4:
line_content = str.split(line)
for i in range(0,len(line_content)):
column_units.append(line_content[i])
if (count_head < 4 or count < 1 or columns < 8):
print(\'Invalid data file\')
else:
data = np.zeros((count,columns,1))
row = 0
for line in open(file,\'r\'):
if \'#\' not in line:
column = 0
data_line = str.split(line)
while (column < columns):
data[row,column] = float(data_line[column])
column = column + 1
row = row + 1
col = 1
while (col <= columns):
graph.plot(data[:,col-1])
graph.ylabel(column_title[col]+column_units[col])
graph.savefig(column_title[col]+\'.png\')
graph.figure()
col = col + 1
x_col = 8
y_col = 2
x_data = np.array(data[:,x_col-1])
y_data = np.array(data[:,y_col-1])
graph.plot(x_data,y_data)
graph.xlabel(column_title[x_col]+column_units[x_col])
graph.ylabel(column_title[y_col]+column_units[y_col])
graph.savefig(column_title[y_col]+\' VS \'+column_title[x_col]+\'.png\')
area = trp(y = y_data.transpose(), x = x_data.transpose())
print(\'Area under pv diagram:\',area,\'(MJ)\')
#Power in kw = Nm * RPM / 9550
RPM = 1500
power = area * 1e+06*RPM/(9550)
print(\'Power:\',power,\'(kw)\')
fuel_per_stroke = 20*1e-06
fuel_per_sec = fuel_per_stroke*RPM*60
Spec_fuel_cons = fuel_per_sec/ (power * 1e+03)
print(\'Specific Fuel Consumption:\',Spec_fuel_cons,\'(g/J)\')