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

Author:

Reitenbach Stanislaus1,Vieweg Maximilian1,Hollmann Carsten1,Becker Richard G.1

Affiliation:

1. Institute of Propulsion Technology, German Aerospace Center (DLR), Linder Hoehe, Cologne D-51147, Germany

Abstract

AbstractThe 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.

Publisher

ASME International

Subject

Mechanical Engineering,Energy Engineering and Power Technology,Aerospace Engineering,Fuel Technology,Nuclear Energy and Engineering

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