Kupfer<i>Digital</i>: Ontology‐Based Digital Representation for the Copper Life Cycle

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 Kupfer Digital 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.

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Publication Details

Journal
Advanced Engineering Materials
Published
2025-03-28
DOI
https://doi.org/10.1002/adem.202401735
Citations
1
Primary Topic
Electron and X-Ray Spectroscopy Techniques
Type
article
Field-Weighted Citation Impact
0.66

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article

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

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1 citations
Advanced Engineering Materials
Electron and X-Ray Spectroscopy Techniques
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article

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

F. Bauer, Valérie Friedmann, K. Gerald van den Boogaart, Gordian Dziwis, Ulrich Klotz, Kurt Junghanns, Anantha Narayanan Ramakrishnan, Sandy Klengel, Michael Martin, Hossein Beygi Nasrabadi, Ladji Tikana, Birgit Skrotzki, Thomas Hanke, Lars‐Peter Meyer, Ashak Mahmud Parvez, Miriam Eisenbart, Matthias Weber, Johannes Preußner, Mohsin Sajjad
article en
1 citations

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 Kupfer Digital 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.

Advanced Engineering MaterialsVol. 27(8)
Federal Institute For Materials Research and Testing (DE), Munich University of Applied Sciences (DE), Helmholtz-Zentrum Dresden-Rossendorf (DE), Forschungsinstitut für Edelmetalle und Metallchemie (DE), Institut für Angewandte Trainingswissenschaft (DE), Fraunhofer Institute for Mechanics of Materials (DE), Helmholtz Institute Freiberg for Resource Technology (DE), Fraunhofer Institute for Microstructure of Materials and Systems (DE)
Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 34%
Electron and X-Ray Spectroscopy Techniques
0.66
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