DGLR-Publikationsdatenbank - Detailansicht

Autor(en):
B. Spieß, K. Höschler, M. Fanter
Zusammenfassung:
The developed approach introduces logical and geometric reasoning based on CAD analysis as a starting point for the transfer of a geometry to a suitable and simplified analysis model. In the presented case, the approach is shaped towards aero engine casings but the fundamental idea can be transferred to other types of structures. The geometric reasoning is built upon information and data concerning substructures of the component which have been decomposed by using feature information from the CAD model and analyzed regarding certain criteria. Based on this evaluation, the process provides potential simplifications and modelling variants and selects a suitable one according to experience-based values. These representations are automatically created and assembled to the simplified model. All the collected information is stored in a database which serves as input for a well-funded set-up of the properties of the associated Finite-Element (FE) entities. Finally, a validation and performance evaluation of the presented process is done on an exemplary application model. Associating the geometric information with the FE entities, thus the simulation results, also provides opportunities for a more sophisticated geometry-based post-processing at the same time.
Veranstaltung:
Deutscher Luft- und Raumfahrtkongress 2020
Verlag, Ort:
Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V., Bonn, 2020
Medientyp:
Conference Paper
Sprache:
englisch
Format:
21,0 x 29,7 cm, 12 Seiten
URN:
urn:nbn:de:101:1-2020121112335034867576
DOI:
10.25967/530050
Stichworte zum Inhalt:
Geometry Simplification, Recognition, Dimensional Reduction, CAD-to-CAE
Verfügbarkeit:
Download - Bitte beachten Sie die Nutzungsbedingungen dieses Dokuments: CC BY 4.0OPEN ACCESS
Kommentar:
Zitierform:
Spieß, B.; Höschler, K.; Fanter, M. (2020): A Feature-Based Approach for an Automated Simplification of Structural Aero Engine Components. Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V.. (Text). https://doi.org/10.25967/530050. urn:nbn:de:101:1-2020121112335034867576.
Veröffentlicht am:
11.12.2020