Automated Piping in an Airbus A320 Landing Gear Bay Using Graph-Based Design Languages
System design in an aircraft is still a costly, manual and iterative approach. One major cost driver of changes in system installation are design efforts for creating new pipes in an earlier stage and the costs accumulated during the in service life. To reduce these costs and the time to market, an...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-03-01
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| Series: | Aerospace |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2226-4310/9/3/140 |
| _version_ | 1827629898681810944 |
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| author | Moritz Neumaier Stefan Kranemann Bernd Kazmeier Stephan Rudolph |
| author_facet | Moritz Neumaier Stefan Kranemann Bernd Kazmeier Stephan Rudolph |
| author_sort | Moritz Neumaier |
| collection | DOAJ |
| description | System design in an aircraft is still a costly, manual and iterative approach. One major cost driver of changes in system installation are design efforts for creating new pipes in an earlier stage and the costs accumulated during the in service life. To reduce these costs and the time to market, an automation approach with an integrated design optimization encoded in graph-based design languages and executable in a design compiler is proposed. To generate the pipe work automatically, a set of input data (e.g., start- and end-points of a pipe with tangents and fixing positions) is given by the user. It also contains, among others, the weightings for the optimization criteria (e.g., length of the pipe resp. the weight vs. the number of bends) to influence the evaluation of the generated pipes and thereby the final solution. As an initial step in the automatic pipe generation process, a route through the installation space is searched. Subsequently, the installation space is simplified and a respective minimal distance to each obstacle which a pipe should satisfy is added. Then for each pipe an initial solution is estimated and each pipe is optimized by a simulated annealing algorithm. At last, all given requirements are automatically verified. A carried out investigation indicates a polynomial runtime behaviour of the algorithm. The capabilities of the newly developed automated piping are demonstrated on the pipe work in an Airbus A320 landing gear bay. |
| first_indexed | 2024-03-09T13:59:47Z |
| format | Article |
| id | doaj.art-4272c3c3bca14a2f93aba3a84c99ec51 |
| institution | Directory Open Access Journal |
| issn | 2226-4310 |
| language | English |
| last_indexed | 2024-03-09T13:59:47Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Aerospace |
| spelling | doaj.art-4272c3c3bca14a2f93aba3a84c99ec512023-11-30T10:27:54ZengMDPI AGAerospace2226-43102022-03-019314010.3390/aerospace9030140Automated Piping in an Airbus A320 Landing Gear Bay Using Graph-Based Design LanguagesMoritz Neumaier0Stefan Kranemann1Bernd Kazmeier2Stephan Rudolph3Institute of Aircraft Design, University of Stuttgart, Pfaffenwaldring 31, 70569 Stuttgart, GermanyAirbus Operations GmbH, 21129 Hamburg, GermanyAirbus Operations GmbH, 21129 Hamburg, GermanyInstitute of Aircraft Design, University of Stuttgart, Pfaffenwaldring 31, 70569 Stuttgart, GermanySystem design in an aircraft is still a costly, manual and iterative approach. One major cost driver of changes in system installation are design efforts for creating new pipes in an earlier stage and the costs accumulated during the in service life. To reduce these costs and the time to market, an automation approach with an integrated design optimization encoded in graph-based design languages and executable in a design compiler is proposed. To generate the pipe work automatically, a set of input data (e.g., start- and end-points of a pipe with tangents and fixing positions) is given by the user. It also contains, among others, the weightings for the optimization criteria (e.g., length of the pipe resp. the weight vs. the number of bends) to influence the evaluation of the generated pipes and thereby the final solution. As an initial step in the automatic pipe generation process, a route through the installation space is searched. Subsequently, the installation space is simplified and a respective minimal distance to each obstacle which a pipe should satisfy is added. Then for each pipe an initial solution is estimated and each pipe is optimized by a simulated annealing algorithm. At last, all given requirements are automatically verified. A carried out investigation indicates a polynomial runtime behaviour of the algorithm. The capabilities of the newly developed automated piping are demonstrated on the pipe work in an Airbus A320 landing gear bay.https://www.mdpi.com/2226-4310/9/3/140automated pipingdesign languagesmodel-based systems engineering |
| spellingShingle | Moritz Neumaier Stefan Kranemann Bernd Kazmeier Stephan Rudolph Automated Piping in an Airbus A320 Landing Gear Bay Using Graph-Based Design Languages Aerospace automated piping design languages model-based systems engineering |
| title | Automated Piping in an Airbus A320 Landing Gear Bay Using Graph-Based Design Languages |
| title_full | Automated Piping in an Airbus A320 Landing Gear Bay Using Graph-Based Design Languages |
| title_fullStr | Automated Piping in an Airbus A320 Landing Gear Bay Using Graph-Based Design Languages |
| title_full_unstemmed | Automated Piping in an Airbus A320 Landing Gear Bay Using Graph-Based Design Languages |
| title_short | Automated Piping in an Airbus A320 Landing Gear Bay Using Graph-Based Design Languages |
| title_sort | automated piping in an airbus a320 landing gear bay using graph based design languages |
| topic | automated piping design languages model-based systems engineering |
| url | https://www.mdpi.com/2226-4310/9/3/140 |
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