A Contribution To SPDM Strategies In Aerospace

  • Long product lifecycles are standard in aerospace, thus simulation data must be handled. This data is critical because it represents real value for the enterprise. Furthermore, simulation data is created in lengthy business processes and often ends in large files. This sets challenges for handling it to allow an efficient storage approach but also full traceability. This paper is an interim result of the research projects VITIV (project number: 80164702) and the ProFIT-Programme supported by the federal state of Brandenburg and the European Union. Initially, the status quo must be analysed. Therefore, the current development processes to develop engine parts were investigated. The focus is the data created by analysts but for this task, all input data created prior must be known, handled and stored as well. Additionally, a new modular data structure is developed to fulfil the aforementioned requirements. However, two concepts for storing must be compared. The first would be to store all input files and boundary conditions separatelyLong product lifecycles are standard in aerospace, thus simulation data must be handled. This data is critical because it represents real value for the enterprise. Furthermore, simulation data is created in lengthy business processes and often ends in large files. This sets challenges for handling it to allow an efficient storage approach but also full traceability. This paper is an interim result of the research projects VITIV (project number: 80164702) and the ProFIT-Programme supported by the federal state of Brandenburg and the European Union. Initially, the status quo must be analysed. Therefore, the current development processes to develop engine parts were investigated. The focus is the data created by analysts but for this task, all input data created prior must be known, handled and stored as well. Additionally, a new modular data structure is developed to fulfil the aforementioned requirements. However, two concepts for storing must be compared. The first would be to store all input files and boundary conditions separately without storing a full executable simulation file. This approach requires the functionality to automatically rebuild the executable file which takes time but provides a lean and modular storage. The other method would be to store the large runnable file and avoid protracted processes to rebuild the file. In some cases such rebuilding could last for several weeks. In this case, traceability must be secured. Currently, not all data regarding CAE is stored in the PLM system. The reasons differ from constraints in terms of configuration of the system, as well as a lack in foresight. This means that some process actors are focussed on a fast way to store their data but do not take into consideration that these objects must be found and used for investigations in the future. The next step will be to work on the process automation. These workflows should reduce the amount of manual user interactions, hence to speed up the processes and avoid sources of error. Furthermore, the developed method for storing the data has to reach the next level: from the secured test environment into a pre-production system.show moreshow less

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Metadaten
Author: Chris Krause, Uwe MeinbergGND, Irene Krebs, Christian Schlauer, Dierk Otto
ISBN:978-1-910643-37-2
Title of the source (English):NAFEMS SPDM World Congress Stockholm 2017, Summary of proceedings
Document Type:Conference Proceeding
Language:English
Year of publication:2017
Contributing Corporation:Rolls-Royce Deutschland Ltd & Co KG
Number of pages:S. 157
Faculty/Chair:Fakultät 3 Maschinenbau, Elektro- und Energiesysteme / FG Industrielle Informationstechnik
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