Leonardo De Maio
Multidisciplinary Shape Optimization of a Supersonic Jet by Reduced Order Models.
Rel. Andrea Ferrero. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Aerospaziale, 2024
Abstract
The aim of this thesis, conducted in collaboration with Esteco S.p.A. and Optimad S.r.l., is to develop a preliminary study on the multidisciplinary and multi-objective shape optimization of a high-performance supersonic jet. As a reference baseline, a representative fighter aircraft featuring a conventional aerodynamic design will be considered, characterized by a single vertical tail plane, a double-surface horizontal tail plane and a truncated delta wing planform. In this study, the original configuration will be modified in order to optimize its aerodynamic and stealth observability characteristics. In detail, an investigation aimed at minimizing aerodynamic drag and radar cross section will be proposed, although constraints will be imposed in order to guarantee same lift and static longitudinal stability characteristics.
This will be carried out by resorting to computational fluid dynamics and computational electromagnetism analyses, but, since multidisciplinary optimization techniques demands a high volume of design evaluations to identify non-dominated solutions, and given the considerable computational expense of these type of simulations, reduced order models will be developed to decrease computational time and cost while guaranteeing a satisfactory level of accuracy
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