Siggel, Martin und Reitenbach, Stanislaus und Banovic, Mladen und Pahs, Andreas (2024) Closing the Gap between Data Model driven Geometry Generation and HiFi CAD for Automatized and Consistent Design Analysis. In: AIAA SciTech 2024 Forum. AIAA SCITECH 2024 Forum, 2024-01-08 - 2024-01-12, Orlando, FL, USA. doi: 10.2514/MSCITECH24. ISBN 978-162410711-5.
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Offizielle URL: https://arc.aiaa.org/doi/book/10.2514/MSCITECH24
Kurzfassung
The design process in the aerospace industry typically consists of multiple design phases, in which the design is refined progressively. Advancing from one phase to the next often needs to be done manually, which especially makes the geometric design process difficult to automatize. This paper presents a process that closes the gap between a data model driven (preliminary) geometry generation and an initially manual geometric detail modeling in the high-fidelity phase. It introduces a method to consistently track and persist metadata like face names and colors through a complete geometry processing chain, such that this process can be automatically repeated even with changed design parameters. This process is demonstrated using the first stage of a high-pressure turbine from an aircraft engine. Annulus contour and blade geometries were designed in a standardized process. In addition, the generation of the cavity between the vanes and the rotors was added automatically by means of a CAD environment. The automated geometry generation process is finally demonstrated by a modification of the annulus design parameters, resulting in a geometry variation.
elib-URL des Eintrags: | https://elib.dlr.de/209849/ | ||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||
Titel: | Closing the Gap between Data Model driven Geometry Generation and HiFi CAD for Automatized and Consistent Design Analysis | ||||||||||||||||||||
Autoren: |
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Datum: | 4 Januar 2024 | ||||||||||||||||||||
Erschienen in: | AIAA SciTech 2024 Forum | ||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||
Open Access: | Nein | ||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||
DOI: | 10.2514/MSCITECH24 | ||||||||||||||||||||
ISBN: | 978-162410711-5 | ||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||
Stichwörter: | CAD, Geometry, Metadata, Exports, Parametric Modeling | ||||||||||||||||||||
Veranstaltungstitel: | AIAA SCITECH 2024 Forum | ||||||||||||||||||||
Veranstaltungsort: | Orlando, FL, USA | ||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||
Veranstaltungsbeginn: | 8 Januar 2024 | ||||||||||||||||||||
Veranstaltungsende: | 12 Januar 2024 | ||||||||||||||||||||
Veranstalter : | American Institute of Aeronautics and Astronautics | ||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||
HGF - Programm: | Luftfahrt | ||||||||||||||||||||
HGF - Programmthema: | Effizientes Luftfahrzeug | ||||||||||||||||||||
DLR - Schwerpunkt: | Luftfahrt | ||||||||||||||||||||
DLR - Forschungsgebiet: | L EV - Effizientes Luftfahrzeug | ||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | L - Digitale Technologien, L - Virtuelles Triebwerk | ||||||||||||||||||||
Standort: | Köln-Porz | ||||||||||||||||||||
Institute & Einrichtungen: | Institut für Antriebstechnik Institut für Softwaremethoden zur Produkt-Virtualisierung | ||||||||||||||||||||
Hinterlegt von: | Siggel, Dr. Martin | ||||||||||||||||||||
Hinterlegt am: | 10 Dez 2024 20:48 | ||||||||||||||||||||
Letzte Änderung: | 10 Dez 2024 20:48 |
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