De Wit, Bert und Lammen, Wim und Vankan, Jos und Timmermans, Huub und Charbonnier, Dominique und van der Laan, Ton und Ciampa, Pier Davide (2018) A collaborative design method for the aircraft supply chain: multi-level optimization. In: AIAA Aviation 2018. AIAA. AIAA 2018 Multidisciplinary Analysis and Optimization Conference, 2018-06-25 - 2018-06-29, Atlanta, Georgia. doi: 10.2514/6.2018-3253.
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Offizielle URL: https://arc.aiaa.org/doi/pdfplus/10.2514/6.2018-3253
Kurzfassung
In the AGILE project, advanced technologies for optimization, multi-disciplinary colla- boration and knowledge-enabled engineering are developed and applied to conceptual and preliminary aircraft design. Various representative use cases of some conventional and un- conventional aircraft configurations are considered. This paper describes the application of a multilevel optimization (MLO) strategy based on analytical target cascading (ATC) to a use case of rudder design on a conventional aircraft configuration. As a reference a traditional nested optimization method is applied as well. Both methods arrive at the same design optima. In the case of ATC the amount of interaction between the global and the local level optimiza- tions is reduced. The MLO is demonstrated by applying surrogate models that were derived from aircraft and rudder design analyses performed by the partners in the AGILE project. The rudder design case illustrates that applying MLO provides insight into the coupled design problem both for the aircraft OEM and for the supplier. Development time is reduced by minimizing the number of interaction events, providing a common understanding of the design problem, establishing interfaces in the design process and therefore reducing the risk of late design changes.
elib-URL des Eintrags: | https://elib.dlr.de/126274/ | ||||||||||||||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||||||||||||||
Titel: | A collaborative design method for the aircraft supply chain: multi-level optimization | ||||||||||||||||||||||||||||||||
Autoren: |
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Datum: | Juni 2018 | ||||||||||||||||||||||||||||||||
Erschienen in: | AIAA Aviation 2018 | ||||||||||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||||||||||
Open Access: | Nein | ||||||||||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||||||||||||||
DOI: | 10.2514/6.2018-3253 | ||||||||||||||||||||||||||||||||
Verlag: | AIAA | ||||||||||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||||||||||
Stichwörter: | AGILE, MDO, Multilevel Optimization, Supply Chain | ||||||||||||||||||||||||||||||||
Veranstaltungstitel: | AIAA 2018 Multidisciplinary Analysis and Optimization Conference | ||||||||||||||||||||||||||||||||
Veranstaltungsort: | Atlanta, Georgia | ||||||||||||||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||||||||||||||
Veranstaltungsbeginn: | 25 Juni 2018 | ||||||||||||||||||||||||||||||||
Veranstaltungsende: | 29 Juni 2018 | ||||||||||||||||||||||||||||||||
Veranstalter : | AIAA | ||||||||||||||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||||||||||
HGF - Programm: | Luftfahrt | ||||||||||||||||||||||||||||||||
HGF - Programmthema: | keine Zuordnung | ||||||||||||||||||||||||||||||||
DLR - Schwerpunkt: | Luftfahrt | ||||||||||||||||||||||||||||||||
DLR - Forschungsgebiet: | L - keine Zuordnung | ||||||||||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | L - keine Zuordnung | ||||||||||||||||||||||||||||||||
Standort: | Hamburg | ||||||||||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Systemarchitekturen in der Luftfahrt > Flugzeugentwurf und Systemintegration | ||||||||||||||||||||||||||||||||
Hinterlegt von: | Ciampa, Pier Davide | ||||||||||||||||||||||||||||||||
Hinterlegt am: | 29 Jan 2019 14:02 | ||||||||||||||||||||||||||||||||
Letzte Änderung: | 11 Jun 2024 12:59 |
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