Requirements for Simulation Process Data Management in Product Lifecycle Management Systems

  • Undoubtedly, simulation data management gets more and more important for mechanical engineering enterprises. The reasons are manifold. Steadily improved CAD- and manufacturing tools allow more and more complex geometries which are used in different surroundings and fulfil various requirements. The geometries will not be physically tested for these more complex intended purposes since it is not economical and would lead to extended development processes. Consequently, simulations allow designing for these missions. The Commercial of the shelf (COTS) software tools like Abaqus, LS Dyna, Nastran etc. supports simulation to solve complex models. Geometries can be created within automated workflows or manually by designers. The first method reduces distinctly the development process time and leads to a design which is driven by simulations (design driven by simulation instead of simulation driven by design). In the past, simulations were used to check if a nearly final geometry can fulfil all requirements. Obviously, this can lead toUndoubtedly, simulation data management gets more and more important for mechanical engineering enterprises. The reasons are manifold. Steadily improved CAD- and manufacturing tools allow more and more complex geometries which are used in different surroundings and fulfil various requirements. The geometries will not be physically tested for these more complex intended purposes since it is not economical and would lead to extended development processes. Consequently, simulations allow designing for these missions. The Commercial of the shelf (COTS) software tools like Abaqus, LS Dyna, Nastran etc. supports simulation to solve complex models. Geometries can be created within automated workflows or manually by designers. The first method reduces distinctly the development process time and leads to a design which is driven by simulations (design driven by simulation instead of simulation driven by design). In the past, simulations were used to check if a nearly final geometry can fulfil all requirements. Obviously, this can lead to time-intensive loops in the development process. This emphasizes the need to check the business processes because improved data storage cannot lead to the full benefits as long as the business processes are not adapted and include waste. A typical example for mechanical engineering companies are aerospace enterprises. This industry has many additional requirements which complicate simulation data management. The major one might be the long product lifecycle. Aerospace engine manufacturers like Rolls-Royce develop and support an engine for a long time, possibly for one of the longest compared to other industries. An engine can be build and supported in service up to 50 or more years, e.g. the Rolls-Royce Tyne (used among others for the Transall C-160) is in service since 1955. Furthermore, the missions for an engine are very complex and so are the simulations and all input parameters. This is the reason to support the analysts with a PLM-tool which is adapted not only to the design world, but also to their needs. The work encloses the analysis of the business processes for the development of engine parts within Rolls-Royce Deutschland as well as an adapted storage method for simulation data in the PLM tool Siemens Teamcenter. However, this paper focuses entirely on the found gaps and requirements in the business processes to adjust the PLM tool. The first and most important requirement is the traceability of the simulation back to all input parameters. Therefore, the data must be well connected. It is not enough to see which geometry was the basis for a simulation (this is an obligation and nothing new in industry or science). Instead, all small files which are created in the development process and serve as input for a simulation must be found and connected. These small files embrace for example the flight mission (the boundary conditions for the engine), the specific versions of the software tools, the documents which describe the data etc. Furthermore, the paper describes additional requirements, for example the need to enable the analysts and the importance for safety in aerospace. Teamcenter and other PLM software tools allow various adaptions so that the tools can reflect the needs of the enterprises using them. Nevertheless, in majority these tools were adjusted on the design area. This does not mean that nothing is enabled for the CAE community, but the data model for simulations is a generic one which must be extended to all small input files. Therefore, the business processes and created data must be investigated to collect all requirements for simulation process data management within product lifecycle management systems.show moreshow less

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Metadaten
Author: Chris Krause, Dierk Otto, Irene Krebs
ISBN:978-83-65200-03-7
Title of the source (Polnisch):Metody i narzędzia w inżynierii produkcji
Document Type:Part of a book (chapter)
Language:English
Year of publication:2016
First Page:99
Last Page:108
Faculty/Chair:Fakultät 3 Maschinenbau, Elektro- und Energiesysteme / FG Industrielle Informationstechnik
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