Siggel, Martin and Reitenbach, Stanislaus and Banovic, Mladen and 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: 10.2514/6.2024-2897. ISBN 978-162410711-5.
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Official URL: https://arc.aiaa.org/doi/book/10.2514/MSCITECH24
Abstract
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.
| Item URL in elib: | https://elib.dlr.de/209849/ | ||||||||||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||||||
| Title: | Closing the Gap between Data Model driven Geometry Generation and HiFi CAD for Automatized and Consistent Design Analysis | ||||||||||||||||||||
| Authors: |
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| Date: | 4 January 2024 | ||||||||||||||||||||
| Journal or Publication Title: | AIAA SciTech 2024 Forum | ||||||||||||||||||||
| Refereed publication: | Yes | ||||||||||||||||||||
| Open Access: | No | ||||||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||||||
| In SCOPUS: | Yes | ||||||||||||||||||||
| In ISI Web of Science: | No | ||||||||||||||||||||
| DOI: | 10.2514/6.2024-2897 | ||||||||||||||||||||
| ISBN: | 978-162410711-5 | ||||||||||||||||||||
| Status: | Published | ||||||||||||||||||||
| Keywords: | CAD, Geometry, Metadata, Exports, Parametric Modeling | ||||||||||||||||||||
| Event Title: | AIAA SCITECH 2024 Forum | ||||||||||||||||||||
| Event Location: | Orlando, FL, USA | ||||||||||||||||||||
| Event Type: | international Conference | ||||||||||||||||||||
| Event Start Date: | 8 January 2024 | ||||||||||||||||||||
| Event End Date: | 12 January 2024 | ||||||||||||||||||||
| Organizer: | American Institute of Aeronautics and Astronautics | ||||||||||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||
| HGF - Program: | Aeronautics | ||||||||||||||||||||
| HGF - Program Themes: | Efficient Vehicle | ||||||||||||||||||||
| DLR - Research area: | Aeronautics | ||||||||||||||||||||
| DLR - Program: | L EV - Efficient Vehicle | ||||||||||||||||||||
| DLR - Research theme (Project): | L - Digital Technologies, L - Virtual Engine | ||||||||||||||||||||
| Location: | Köln-Porz | ||||||||||||||||||||
| Institutes and Institutions: | Institute of Propulsion Technology Institute of Software Methods for Product Virtualization | ||||||||||||||||||||
| Deposited By: | Siggel, Dr. Martin | ||||||||||||||||||||
| Deposited On: | 10 Dec 2024 20:48 | ||||||||||||||||||||
| Last Modified: | 24 Aug 2026 15:02 |
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