Davide Barbero
Surrogate Modelling of Aero-Engine Intake Design Space.
Rel. Dario Giuseppe Pastrone. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Aerospaziale, 2018
Abstract
As turbofan engines are moving towards higher bypass ratios and lower fan pressure ratios, the necessity of shorter intakes to reduce the weight and drag penalty has arisen. However, short-intakes present criticality, especially in demanding condition as high incidence. The aim of this project is to investigate the feasibility of applying a surrogate model to derive the critical angle of attack of short-intakes in order to reduce the computational time required for a subsequent optimisation. The separation angle of attack has been obtained through CFD analyses, evaluating the wall shear stress. RSM has shown to not be suitable for this problem, with a root mean square error of 0.8 degrees, three times the discretisation used in the data.
However, neural network has shown to be a useful preliminary design tool, with an f1 score of 88%
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