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DataPlotter.py
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DataPlotter.py
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"""
Plots of the results
@Author: Guillermo Peña Martínez
@Date: 06/05/2023
"""
import matplotlib.pyplot as plt
import numpy as np
from Pfoil import *
# Font is created for the rest of the file
font = {'family': 'calibri',
'size': 12}
def Cp_plot(Foil):
"""
Generates the Cp distribution plot.\n
"""
fig, ax = plt.subplots()
plt.rcParams['font.family'] = font['family']
plt.rcParams['font.size'] = font['size']
if Foil.oper.model == 2:
cp = Foil.post.cp[:Foil.N+1+int(Foil.wake.N/2)]
cpi = Foil.post.cpi[:Foil.N+1+int(Foil.wake.N/2)]
x = np.append(Foil.geom.coord[:, 0],Foil.wake.x[0,:int(Foil.wake.N/2)])
ax.plot(x, cpi, '-.', linewidth=3)
ax.plot(x, cp, linewidth=3)
results = "Coefficients: \n" + "cl: " + \
str(round(Foil.post.cl, 3)) + "\n" + "cd: " + str(round(Foil.post.cd, 3))
param = "Parameters \n" + "Re = " + str("{:.2e}".format(Foil.oper.Re)) + "\n α = " + str(Foil.oper.alpha) + " deg"
ax.text(0.9, 0.95, results, ha='left', va='top', transform=plt.gca().transAxes,
bbox=dict(facecolor='orange', alpha=0.3),fontdict=font)
ax.text(0.9, 0.8, param, ha='left', va='top', fontdict=font, transform=plt.gca().transAxes,
bbox=dict(facecolor='orange', alpha=0.3))
plt.legend(["Inviscid", "Viscous"], loc='lower center', ncol=2)
else:
if Foil.oper.model == 0:
cp = Foil.cvortm.Cpi
else:
cp = Foil.post.cp
if Foil.oper.model ==1:
x = Foil.geom.coord[:,0]
else:
x = [panel.midx for panel in Foil.geom.paneles]
ax.plot(x,cp,linewidth = 3)
text = "Coefficients: \n" + "cl: " + \
str(round(Foil.post.cl, 3)) + "\n" + "cd: " + str(abs(round(Foil.post.cdpi, 5)))
ax.text(0.95, 0.95, text, ha='left', va='top', transform=plt.gca().transAxes,
bbox=dict(facecolor='yellow', alpha=0.5), fontdict= font)
ax.set_xticks([])
ax.set_yticks([])
ax.axhline(0, color='black', lw=0.5)
ax.axvline(0, color='black', lw=0.5)
# Axis division
x = [0.1,0.2,0.3, 0.4,0.5, 0.6, 0.7,0.8, 0.9,1]
y = np.linspace(-3, 1, 11)
# Default axis off
ax.spines['left'].set_visible(False)
ax.spines['bottom'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
# New axis
ax.axhline(0, color='black')
ax.axvline(0, color='black')
ax.text(1.04, 0.2, "x", fontdict= font)
ax.text(-0.05, -3.2, "Cp", fontdict=font)
# x axis division
for val in x:
ax.text(val, 0.15, str(val), ha='center', va='top')
ax.plot([val, val], [0.1, 0.05], color='black', linewidth=0.7)
# y axis division
for val in y:
ax.text(-0.01, val, str(round(val, 2)), ha='right', va='center')
ax.plot([-0.0001, -0.005], [val, val], color='black', linewidth=0.7)
# Grid off
ax.grid(False)
ax.invert_yaxis()
plt.axis('off')
plt.title("Distribución de Cp", fontdict = font)
plt.show()
def PlotBlayer(Foil):
"""
Displacement thickness plot over the foil
"""
ds = Foil.post.ds
x,y = Foil.geom.coord[:,0], Foil.geom.coord[:,1]
lower, upper, wake = Foil.vsol.Is
x_lower, y_lower, ds_lower = x[lower], y[lower], ds[lower]
x_upper, y_upper, ds_upper = x[upper], y[upper], ds[upper]
y_lower = y_lower - ds_lower
y_upper = y_upper + ds_upper
x_wake, y_wake, ds_wake = Foil.wake.x[0, :], Foil.wake.x[1, :], ds[wake]
coef = y_upper[-1]/ds_wake[0]
y_wake1 = y_wake - (1-coef)*ds_wake
y_wake2 = y_wake + coef*ds_wake
y_wake1[0] = y_lower[-1]
y_wake2[0] = y_upper[-1]
plt.rcParams['font.family'] = font['family']
plt.rcParams['font.size'] = font['size']
plt.plot(x,y,"-k", linewidth = 3)
plt.plot(x_wake,y_wake,"-k", linewidth = 3)
plt.plot(x_upper, y_upper, "-g", linewidth = 3)
plt.plot(x_lower, y_lower, "-b", linewidth = 3)
plt.plot(x_wake,y_wake1,"-r", linewidth = 3)
plt.plot(x_wake,y_wake2,"-r", linewidth = 3)
plt.scatter(Foil.vsol.Xt[1, 1], Foil.geom.spline_sup(Foil.vsol.Xt[1, 1]), color = "orange")
if Foil.vsol.Xt[0,1] != 0:
plt.scatter(Foil.vsol.Xt[0, 1], Foil.geom.spline_inf(Foil.vsol.Xt[0, 1]), color = "orange")
else:
plt.scatter(1, Foil.geom.spline_inf(1), color = "orange")
plt.ylim(-0.4,0.4)
plt.xlim(-0.01,1.25)
plt.title("Re = " + str("{:.2e}".format(Foil.oper.Re)) + " α = " + str(Foil.oper.alpha) + " deg",
fontsize='x-large', loc='center', fontdict=font)
plt.axis("off")
plt.show()
def FoilPlot(Foil):
"""
Plots the foil with the center of momentum.
"""
plt.rcParams['font.family'] = font['family']
plt.rcParams['font.size'] = font['size']
plt.plot(Foil.geom.coord[:, 0], Foil.geom.coord[:, 1],'-ko',markersize= 3)
plt.plot(Foil.geom.xref[0],Foil.geom.xref[1],'ro')
plt.axhline(0, color='black', linewidth=1)
plt.ylim(-0.4,0.4)
plt.xlim(-0.05, 1.1)
plt.axis('off')
plt.legend(["Foil geometry","Center of momentum","x axis"])
text = "Geometry: " + str(Foil.geom.foil_name)
plt.text(0.05, 0.95, text, ha='left', va='top', transform=plt.gca().transAxes,
bbox=dict(facecolor='yellow', alpha=0.5))
plt.show()
def PlotBlayerParam(Foil,index):
"""
Generates the plots of the boundary layer state vector varibles given the index:
1 -> Displacement thickness
2 -> Momentum thickness
3 -> Velocity
3 -> Skin friction coefficient
"""
fig, ax = plt.subplots()
Is = Foil.vsol.Is
x_lower = Foil.geom.coord[Is[0],0]
x_upper = Foil.geom.coord[Is[1],0]
x_wake = Foil.wake.x[0,:]
plt.rcParams['font.family'] = font['family']
plt.rcParams['font.size'] = font['size']
parameters = [Foil.post.ds, Foil.post.th, Foil.post.ue, Foil.post.cf]
title = ["Displacement Thickness","Momentum Thickness", "Edge velocity (ue)", "Skin Friction Coefficient (cf)"]
ylabel = ["δ*", "θ", "$u_e$","$C_f$"]
param = parameters[index]
param_lower = param[Is[0]]
param_upper = param[Is[1]]
param_wake = param[Is[2]]
plt.xticks(fontproperties=font)
plt.yticks(fontproperties=font)
ax.plot(x_upper, param_upper, linewidth= 3)
ax.plot(x_lower, param_lower, linewidth=3)
ax.plot(x_wake,param_wake, linewidth = 3)
ax.legend(["Upper","Lower","Wake"])
ax.grid(True)
plt.title(title[index], fontdict=font)
plt.xlabel("x", fontdict=font)
plt.ylabel(ylabel[index], fontdict=font)
plt.show()