"""This example illustrates the usage of creator, evaluator and generator. All the steps of airfoil creation & evaluation are detailed here; furthermore, the generator.py module contains certain presets (default airfoils). Create an airfoil; Evaluate an airfoil; Generate a population of airfoils & optimize. """ import resources.materials as mt import creator import evaluator.evaluator as evaluator import generator # from generator import import time start_time = time.time() # Thicknesses SPAR_THICKNESS = 0.4 SKIN_THICKNESS = 0.1 # Component masses (lbs) AIRFOIL_MASS = 10 SPAR_MASS = 10 STRINGER_MASS = 5 # Area (sqin) SPAR_CAP_AREA = 0.3 STRINGER_AREA = 0.1 # Amount of stringers TOP_STRINGERS = 6 BOTTOM_STRINGERS = 4 NOSE_TOP_STRINGERS = 3 NOSE_BOTTOM_STRINGERS = 5 SAVE_PATH = '/home/blendux/Projects/Aircraft_Studio/save' eval = evaluator.Evaluator("eval") ac = creator.base.Aircraft(eval, "ac") af = creator.wing.Airfoil(ac, 'af') af.add_naca(2412) # af.info_print(2) af.info_save() spar1 = creator.wing.Spar(af, 'spar1') spar2 = creator.wing.Spar(af, 'spar2', 0.57) # af.spar1.info_print(2) # af.spar2.info_print(2) spar1.info_save() spar2.info_save() ac2 = creator.base.Aircraft(eval, "ac2") af2 = creator.wing.Airfoil(ac2, 'af2') af2.add_naca(3412) af2.info_save() spar3 = creator.wing.Spar(af2, 'spar3', 0.23) spar4 = creator.wing.Spar(af2, 'spar4', 0.67) spar3.info_save() spar4.info_save() eval.tree_print() # eval.tree_save() print(eval.analysis()) # for aircraft in eval.aircrafts: # print(aircraft) # print(aircraft.wing.material) # for spar in aircraft.wing.spars: # print(spar, f"is made out of: {spar.material['name']}") # ac.info_print() # eval.info_print(2) # # Create stringer instance # af.stringer = wing.Stringer() # # Compute the stringer coordinates from their quantity in each zone # af.stringer.add_coord(af, [af.spar1, af.spar2], NOSE_TOP_STRINGERS, TOP_STRINGERS, # NOSE_BOTTOM_STRINGERS, BOTTOM_STRINGERS) # af.stringer.add_area(STRINGER_AREA) # af.stringer.add_webs(SKIN_THICKNESS) # af.stringer.info_print(2) # af.stringer.info_save(SAVE_PATH, 'foo_name') # Plot components with matplotlib # creator.wing.plot_geom(af, [af.spar1, af.spar2], None) # Evaluator object contains airfoil analysis results. # The analysis is performed in the evaluator.py module. # eval.analysis(1, 1) # eval.info_print(2) # eval.info_save(SAVE_PATH, 'foo_name') # evaluator.plot_geom(eval) # evaluator.plot_lift(eval) # Final execution time final_time = time.time() - start_time print(f"--- {round(final_time, 4)}s seconds ---")