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Usage of Data Provenance Models in Collaborative Multidisciplinary Aero-Engine Design

Reitenbach, Stanislaus and Vieweg, Maximilian and Hollmann, Carsten and Becker, Richard-Gregor (2020) Usage of Data Provenance Models in Collaborative Multidisciplinary Aero-Engine Design. Journal of Engineering for Gas Turbines and Power, 142 (10). American Society of Mechanical Engineers (ASME). doi: 10.1115/1.4048436. ISSN 0742-4795.

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The collaborative multidisciplinary design of aircraft engines is a complex and highly iterative process. An essential characteristic of this design process is the involvement of a large number of experts from different disciplines, as well as the usage of numerous tools and workflows. Large amounts of data are produced and need to be exchanged via a multitude of interfaces. Furthermore, the data undergo various transformations in the course of the design process. Understanding where a certain piece of data originates from and how it is connected to other datasets becomes therefore progressively essential. The purpose of this paper is to present a methodology to apply data provenance models in collaborative multidisciplinary aero-engine design, supported by an approach for data standardization and identification. Besides the methodology, the software implementation to support this approach is presented in detail, including automated capturing and storage of provenance data, as well as methods for data investigation. In addition, the presented methodology is evaluated by means of practical examples from the field of preliminary aero-engine design.

Item URL in elib:https://elib.dlr.de/139377/
Document Type:Article
Title:Usage of Data Provenance Models in Collaborative Multidisciplinary Aero-Engine Design
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Reitenbach, Stanislausstanislaus.reitenbach (at) dlr.deUNSPECIFIED
Vieweg, MaximilianMaximilian.Vieweg (at) dlr.deUNSPECIFIED
Hollmann, Carstencarsten.hollmann (at) dlr.deUNSPECIFIED
Becker, Richard-GregorRichard-Gregor.Becker (at) dlr.deUNSPECIFIED
Date:25 September 2020
Journal or Publication Title:Journal of Engineering for Gas Turbines and Power
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1115/1.4048436
Publisher:American Society of Mechanical Engineers (ASME)
Keywords:Multi-Fidelity, GTlab, Multidisziplinär, multi-disciplinary, Vorentwurf, pre-design, design, Entwurf, Engine, Data Provenance, Daten Provenienz, Metadata, Metadaten, Datamodel, Datenmodell, collaborative, Kollaborativ
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:fixed-wing aircraft
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Simulation and Validation (old), L - Virtual Engine and Validation methods (old)
Location: Köln-Porz
Institutes and Institutions:Institute of Propulsion Technology > Engine
Deposited By: Reitenbach, Stanislaus
Deposited On:10 Dec 2020 12:15
Last Modified:10 Dec 2020 12:15

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