Study on control surface coefficients

studies/NeuralFoilControlSurfaceValidation/cross_validation.py

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+import aerosandbox as asb
+import aerosandbox.numpy as np
+
+af = asb.Airfoil("naca0012")
+Re = 1e6
+mach = 0.1
+
+control_surface = asb.ControlSurface(
+    deflection=1,
+    hinge_point=0.75
+)
+
+af_deflected = af.add_control_surface(
+    deflection=1,
+    hinge_point_x=0.75,
+)
+alpharange = np.linspace(-5, 5, 31)
+
+aeros = {}
+
+aeros["XFoil Undeflected"] = asb.XFoil(
+    airfoil=af,
+    Re=Re,
+    mach=mach,
+    max_iter=100,
+    verbose=True
+).alpha(alpharange)
+aeros["XFoil Deflected"] = asb.XFoil(
+    airfoil=af_deflected,
+    Re=Re,
+    mach=mach,
+    max_iter=100,
+    verbose=True
+).alpha(alpharange)
+aeros["NeuralFoil Undeflected"] = af.get_aero_from_neuralfoil(
+    alpha=alpharange,
+    Re=Re,
+    mach=mach,
+    model_size="xxxlarge",
+)
+aeros["NeuralFoil Undeflected"]["alpha"] = alpharange
+aeros["NeuralFoil Deflected"] = af_deflected.get_aero_from_neuralfoil(
+    alpha=alpharange,
+    Re=Re,
+    mach=mach,
+    model_size="xxxlarge",
+)
+aeros["NeuralFoil Deflected"]["alpha"] = alpharange
+
+import matplotlib.pyplot as plt
+import aerosandbox.tools.pretty_plots as p
+
+fig, ax = plt.subplots(1, 3, sharex=True)
+
+for i, var in enumerate(["CL", "CD", "CM"]):
+    for label, aero in aeros.items():
+        ax[i].plot(
+            aero["alpha"],
+            aero[var],
+            label=label + " " + var,
+            color="C0" if "XFoil" in label else "C1",
+            linestyle="-" if "Undeflected" in label else "--",
+            alpha=0.5
+        )
+
+p.show_plot(
+    "Control Surface Validation",
+    xlabel="Angle of Attack [deg]",
+)