De Rosa, Luigi (2010) Shape Memory Alloy for Aeronautical Applications. [Tesi di dottorato] (Inedito)

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Tipologia del documento: Tesi di dottorato
Lingua: English
Titolo: Shape Memory Alloy for Aeronautical Applications
Autori:
AutoreEmail
De Rosa, Luigiluigi.derosa@alenia.it
Data: 25 Novembre 2010
Numero di pagine: 166
Istituzione: Università degli Studi di Napoli Federico II
Dipartimento: Ingegneria aerospaziale
Scuola di dottorato: Ingegneria industriale
Dottorato: Ingegneria aerospaziale, navale e della qualità
Ciclo di dottorato: 23
Coordinatore del Corso di dottorato:
nomeemail
Moccia, Antonioantonio.moccia@unina.it
Tutor:
nomeemail
Lecce, Leonardoleonardo@unina.it
Data: 25 Novembre 2010
Numero di pagine: 166
Parole chiave: SMA, Morphing, Impact
Settori scientifico-disciplinari del MIUR: Area 09 - Ingegneria industriale e dell'informazione > ING-IND/04 - Costruzioni e strutture aerospaziali
Depositato il: 02 Dic 2010 21:46
Ultima modifica: 17 Nov 2015 13:28
URI: http://www.fedoa.unina.it/id/eprint/7965

Abstract

The aim of this thesis is to illustrate innovative applications of Shape Memory Alloy (SMA) in aeronautics. After a brief introduction of the material intrinsic properties, illustrating and explaining the genesis of the Shape Memory Effect and of the Superelastic Effect, which determine the interest on this material from the scientific community and the industrial world, illustrations and explanations of the main material constitutive models are presented. We conclude by exposing, through applications, how to integrate and exploit these effects in aeronautics. Thanks to these two material intrinsic properties it has been possible to improve most of the problems that are still present during the design phase of an aircraft. In particular the innovative design concept of high lift systems and the improvement in response of the aeronautical structures subject to impact at medium-high energy have been studied and developed. Thanks to the developed numerical and experimental methods it has been possible to analyze, design and verify numerically the solutions and then confirm totally or partially with experimental tests.

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