journal article·2025-04Open access

KupferDigital: Ontology‐Based Digital Representation for the Copper Life Cycle

Miriam Eisenbart, Thomas Hanke, Felix Bauer, Hossein Beygi Nasrabadi, Kurt Junghanns, Gordian Dziwis, Ladji Tikana, Ashak Mahmud Parvez, Karl Gerald van den Boogaart, Mohsin Sajjad, Valerie Friedmann, Johannes Preußner, Anantha Narayanan Ramakrishnan, Sandy Klengel, Lars‐Peter Meyer, Michael Martin, Ulrich Ernst Klotz, Birgit Skrotzki, Matthias Weber

Advanced Engineering Materials· Volume 27· Issue 8

Abstract

The copper life cycle comprises numerous stages from the alloy production to the manufacturing and usage of engineered parts until recycling. At each step, valuable data are generated and stored; some are transferred to the subsequent stations. A thorough understanding of the materials’ behavior during manufacturing processes or throughout their product lifetime is highly dependent on a reliable data transfer. If, for example, a failure occurs during the service life, information about the manufacturing route can be of decisive importance for detecting the root cause of the failure. Additionally, the life cycle assessment hinges on the availability of data. Recording and storing interoperable structured data is, therefore, a thriving research field with huge implications for the economic strength of the manufacturing industry. In the KupferDigital project, it is demonstrated how an ontology‐based data space can be utilized not only as an innovative method for storing and providing interoperable life cycle data but also as a means to enable automated data analysis and evaluation, leading to new insights and the creation of new knowledge using semantic data and technologies. This work illustrates how data recorded at different research facilities can be integrated into one single data space, allowing queries across heterogeneous sources.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Electron and X-Ray Spectroscopy Techniques · Machine Learning in Materials Science · Research Data Management Practices

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Digitalization and AI Physical Metallurgy fem Forschungsinstitut Katharinenstraße 13‐17 73525 Schwaebisch Gmuend Germany

Scientific IT Microstructure and Residual Stresses Forming Processes Fraunhofer‐Institut für Werkstoffmechanik IWM Wöhlerstraße 11 79108 Freiburg Germany

Metallic High‐Temperature Materials Bundesanstalt für Materialforschung und ‐prüfung (BAM) Unter den Eichen 87 12205 Berlin Germany

Kompetenzzentrum für Effiziente Technologieintegration Institut für Angewandte Informatik (InfAI) e.V. Goerdelerring 9 04109 Leipzig Germany

Kupferverband e.V. Emanuel‐Leutze‐Str. 11 40547 Düsseldorf Germany

Helmholtz Institute Freiberg for Resource Technology (HIF) Helmholtz‐Zentrum Dresden‐Rossendorf e.V. (HZDR) Chemnitzer Str. 40 09599 Freiberg Germany

Assessment of Electronic Systems Integration Fraunhofer‐Institut für Mikrostruktur von Werkstoffen und Systemen IMWS Walter‐Hülse‐Straße 1 06120 Halle (Saale) Germany

Department of Applied Sciences and Mechatronics Munich University of Applied Sciences HM 80335 Munich Germany

Funding

Bundesministerium für Bildung und Forschung

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