def calculate(eD, F):
fanning = Preferences.getboolean("Moody", "fanning")
method = Preferences.getint("Moody", "method")
dat = {}
dat["fanning"] = fanning
dat["method"] = method
# laminar
if fanning:
dat["laminar"] = [16.0 / R for R in Re_laminar]
x = 4
else:
dat["laminar"] = [64.0 / R for R in Re_laminar]
x = 1
# turbulent
turb = {}
for e in eD:
turb[e] = [F(Rei, e) / x for Rei in Re_turbulent]
dat["turbulent"] = turb
# Line to define the fully desarrolled turbulent flux
# dat["fully"] = [(1/(1.14-2*log10(3500/R)))**2 for R in Re_fully]
# Save to file
with open(conf_dir + "moody.dat", "w") as file:
json.dump(dat, file, indent=4)
def __plot(self):
"""Plot the Moody chart using the indicate method """
fanning = Preferences.getboolean("Moody", "fanning")
method = Preferences.getint("Moody", "method")
if fanning:
x = 4
else:
x = 1
self.diagrama.ax.clear()
self.diagrama.ax.set_autoscale_on(False)
xlabel = QtWidgets.QApplication.translate("pychemqt", "Reynolds number") + ", " + r"$Re=\frac{V\rho D}{\mu}$"
self.diagrama.ax.set_xlabel(xlabel, ha="center", size="10")
if fanning:
ylabel = QtWidgets.QApplication.translate("pychemqt", "Fanning Friction factor")
formula = r"$f_f=\frac{2hDg}{LV^2}$"
else:
ylabel = QtWidgets.QApplication.translate("pychemqt", "Darcy Friction factor")
formula = r"$f_d=\frac{2hDg}{LV^2}$"
self.diagrama.ax.set_ylabel(ylabel + ", " + formula, size="10")
txt = QtWidgets.QApplication.translate("pychemqt", "Relative roughness") + ", " + r"$r=\frac{\epsilon}{D}$"
self.diagrama.fig.text(0.97, 0.5, txt, rotation=90, size="10", va="center", ha="center")
self.diagrama.ax.grid(True)
self.diagrama.ax.set_xlim(600, 1e8)
self.diagrama.ax.set_ylim(0.008 / x, 0.11 / x)
self.diagrama.ax.set_xscale("log")
self.diagrama.ax.set_yscale("log")
xticks = [
7e2,
8e2,
9e2,
1e3,
2e3,
3e3,
4e3,
5e3,
6e3,
7e3,
8e3,
9e3,
1e4,
2e4,
3e4,
4e4,
5e4,
6e4,
7e4,
8e4,
9e4,
1e5,
2e5,
3e5,
4e5,
5e5,
6e5,
7e5,
8e5,
9e5,
1e6,
2e6,
3e6,
4e6,
5e6,
6e6,
7e6,
8e6,
9e6,
1e7,
2e7,
3e7,
4e7,
5e7,
6e7,
7e7,
8e7,
9e7,
]
self.diagrama.ax.set_xticks(xticks, minor=False)
self.diagrama.ax.set_yticks([], minor=True)
if fanning:
yticks = [
2e-3,
2.5e-3,
3e-3,
3.5e-3,
4e-3,
5e-3,
6e-3,
7e-3,
8e-3,
9e-3,
1e-2,
1.1e-2,
1.2e-2,
1.3e-2,
1.4e-2,
1.5e-2,
1.6e-2,
1.7e-2,
1.8e-2,
1.9e-2,
2e-2,
2.1e-2,
2.2e-2,
2.3e-2,
2.4e-2,
2.5e-2,
]
ytickslabel = [
2,
2.5,
3,
3.5,
4,
5,
6,
7,
8,
9,
r"$10^{-2}$",
"",
1.2,
"",
1.4,
"",
1.6,
"",
1.8,
"",
2,
"",
"",
"",
"",
2.5,
]
else:
yticks = [
9e-3,
1e-2,
1.1e-2,
1.2e-2,
1.3e-2,
1.4e-2,
1.5e-2,
1.6e-2,
1.7e-2,
1.8e-2,
1.9e-2,
2e-2,
2.1e-2,
2.2e-2,
2.3e-2,
2.4e-2,
2.5e-2,
2.6e-2,
2.7e-2,
2.8e-2,
2.9e-2,
3e-2,
3.2e-2,
3.4e-2,
3.6e-2,
3.8e-2,
4e-2,
4.2e-2,
4.4e-2,
4.6e-2,
4.8e-2,
5e-2,
5.2e-2,
5.4e-2,
5.6e-2,
5.8e-2,
6e-2,
6.2e-2,
6.4e-2,
6.6e-2,
6.8e-2,
7e-2,
7.5e-2,
8e-2,
8.5e-2,
9e-2,
9.5e-2,
1e-1,
]
ytickslabel = [
9,
r"$10^{-2}$",
"",
1.2,
"",
1.4,
"",
1.6,
"",
1.8,
"",
2,
"",
"",
"",
"",
2.5,
"",
"",
"",
"",
3,
"",
"",
"",
"",
4,
"",
"",
"",
"",
5,
"",
"",
"",
"",
6,
"",
"",
"",
"",
7,
"",
8,
"",
9,
"",
r"$10^{-1}$",
]
self.diagrama.ax.set_yticks(yticks)
self.diagrama.ax.set_yticklabels(ytickslabel)
eD = [
0,
1e-6,
5e-6,
1e-5,
2e-5,
5e-5,
1e-4,
2e-4,
4e-4,
6e-4,
8e-4,
0.001,
0.0015,
0.002,
0.003,
0.004,
0.006,
0.008,
0.01,
0.0125,
0.015,
0.0175,
0.02,
0.025,
0.03,
0.035,
0.04,
0.045,
0.05,
0.06,
0.07,
]
F = f_list[method]
if not os.path.isfile(conf_dir + "moody.dat"):
calculate(eD, F)
load = False
with open(conf_dir + "moody.dat", "r") as file:
try:
dat = json.load(file)
except ValueError:
calculate(eD, F)
load = True
if dat["fanning"] != fanning or dat["method"] != method:
calculate(eD, F)
load = True
# Reload file if is create in las with statement
if load:
with open(conf_dir + "moody.dat", "r") as file:
dat = json.load(file)
# Plot data
self.diagrama.ax.plot(Re_laminar, dat["laminar"], "k")
for eD, f in dat["turbulent"].items():
self.diagrama.ax.plot(Re_turbulent, f, "k")
title = " " + representacion(eD, tol=4.5)
if f[-1] > 0.008 / x:
self.diagrama.ax.text(1e8, f[-1], title, size="x-small", ha="left", va="center")
# self.diagrama.ax.plot(Re_fully, dat["fully"], "k", lw=0.5, ls=":")
# Add explicative legend
# Laminar zone
self.diagrama.ax.add_artist(
ConnectionPatch(
(600, 0.009 / x), (2400, 0.009 / x), "data", "data", arrowstyle="<|-|>", mutation_scale=20, fc="w"
)
)
txt = QtWidgets.QApplication.translate("pychemqt", "Laminar flux")
self.diagrama.ax.text(1200, 0.0091 / x, txt, size="small", va="bottom", ha="center")
# Critic zone
self.diagrama.ax.add_artist(
ConnectionPatch(
(2400, 0.009 / x), (4000, 0.009 / x), "data", "data", arrowstyle="<|-|>", mutation_scale=20, fc="w"
)
)
txt = QtWidgets.QApplication.translate("pychemqt", "Critic\nzone")
self.diagrama.ax.text(3200, 0.0091 / x, txt, size="small", va="bottom", ha="center")
# Transition zone
self.diagrama.ax.add_artist(
ConnectionPatch(
(4000, 0.095 / x), (10000, 0.095 / x), "data", "data", arrowstyle="<|-|>", mutation_scale=20, fc="w"
)
)
txt = QtWidgets.QApplication.translate("pychemqt", "Transition Zone")
self.diagrama.ax.text(7000, 0.104 / x, txt, size="small", va="top", ha="center")
# Turbulent zone
self.diagrama.ax.add_artist(
ConnectionPatch(
(10000, 0.095 / x), (9.9e7, 0.095 / x), "data", "data", arrowstyle="<|-|>", mutation_scale=20, fc="w"
)
)
txt = QtWidgets.QApplication.translate("pychemqt", "Turbulent flux fully developed")
self.diagrama.ax.text(1e6, 0.104 / x, txt, size="small", va="top", ha="center")
# Smooth tubes
self.diagrama.ax.add_artist(
ConnectionPatch(
(1e6, 0.009 / x), (1.5e6, 0.011 / x), "data", "data", arrowstyle="<|-|>", mutation_scale=20, fc="w"
)
)
txt = QtWidgets.QApplication.translate("pychemqt", "Smooth tubes")
self.diagrama.ax.text(1e6, 0.009 / x, txt, size="small", va="top", ha="right")
# Laminar equation
if fanning:
txt = r"$f=\frac{16}{Re}$"
else:
txt = r"$f=\frac{64}{Re}$"
self.diagrama.ax.text(1.4e3, 0.042 / x, txt, size="12", va="top", ha="center", rotation=-66)
