Stingo, Luca (2020) 3rd generation of collaborative MDO for more efficient aircraft preliminary design. The turboprop case within the AGILE project. [Tesi di dottorato]

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Tipologia del documento:	Tesi di dottorato
Lingua:	English
Titolo:	3rd generation of collaborative MDO for more efficient aircraft preliminary design. The turboprop case within the AGILE project
Autori:	Autore Email Stingo, Luca luca.stingo@unina.it
Data:	13 Marzo 2020
Numero di pagine:	169
Istituzione:	Università degli Studi di Napoli Federico II
Dipartimento:	Ingegneria Industriale
Dottorato:	Ingegneria industriale
Ciclo di dottorato:	32
Coordinatore del Corso di dottorato:	nome email GRASSI, MICHELE michele.grassi@unina.it
Tutor:	nome email NICOLOSI, FABRIZIO [non definito] DELLA VECCHIA, PIERLUIGI [non definito]
Data:	13 Marzo 2020
Numero di pagine:	169
Parole chiave:	MDO, AGILE, Turboprop,
Settori scientifico-disciplinari del MIUR:	Area 09 - Ingegneria industriale e dell'informazione > ING-IND/03 - Meccanica del volo
Depositato il:	02 Apr 2020 08:57
Ultima modifica:	10 Nov 2021 14:29
URI:	http://www.fedoa.unina.it/id/eprint/13014

Abstract

One of the most important aspect within the aircraft design discipline is to be able to perform rapid and reliable analyses on diferent aircraft configurations. In this scenario has arisen the AGILE (Aircraft 3rd Generation MDO for Innovative Collaboration of Heterogeneous Teams of Experts) project. This one was a successful European project, part of the HORIZON 2020 programme, which gave a relevant contribution to the state of the art of Multidisciplinary Design Analysis and Optimization (MDAO) approach in aircraft design. The project aimed to create an evolution of MDO, promoting a novel approach based on collaborative remote design and knowledge dissemination among various and heterogeneous teams of experts. To achieve this goal, great importance was attached to massive collaboration among experts, to the development of technologies to allow remote and distributed design approach between partners worldwide dislocated and to the development of tool and/or new optimization methodologies. The collaboration aspect was strongly faced by the author by setting up a whole aircraft design and optimization toolchain in terms of data exchanging, tools integration, workflow implementation and execution. Furthermore, thanks to the aircraft design tools and a new optimization technique which couples Nash game theory and genetich algorithm developed by the author, well-assessed AGILE technologies and setup of the whole framework, a complete MDAO task was performed on diferent disruptive aircraft configurations, with a main focus of the candidate on two innovative regional turboprop architectures. This work can be divided in two main parts: the first is a more descriptive one, to best clarify the global scenario in which the research was conducted, and the second moves the focus on the major author's contributions to the AGILE project.

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