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  4. Ontology‐Based Digital Infrastructure for Data‐Driven Glass Development
 
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2025
Journal Article
Title

Ontology‐Based Digital Infrastructure for Data‐Driven Glass Development

Abstract
The development of new glasses is often hampered by inefficient trial-and-error approaches. The traditional glass manufacturing process is not only time-consuming, but also difficult to reproduce with inevitable variations in process parameters. These challenges are addressed by implementing an ontology-based digital infrastructure coupled with a robotic melting system. This system facilitates high-throughput glass synthesis and ensures the collection of consistent process data. In addition, the digital infrastructure includes machine learning models for predicting glass properties and a tool for extracting patent information. Current glass databases have significant gaps in the relationships between compositions, process parameters, and properties due to inconsistent studies and nonconforming units. In addition, process parameters are often omitted, and even original literature references provide limited information. By continuously expanding the database with consistent, high-quality data, it is aimed to fill these gaps and accelerate the glass development process.
Author(s)
Chen, Ya-Fan
Friedrich Schiller University Jena, Otto Schott Institute of Materials Research
Arendt, Felix
Friedrich Schiller University Jena, Otto Schott Institute of Materials Research
Bornhöft, Hansjörg
Clausthal University of Technology, Institute of Non-Metallic Materials
de Camargo, Andréa S.S.
Friedrich Schiller University Jena, Otto Schott Institute of Materials Research
Deubener, Joachim
Clausthal University of Technology, Institute of Non-Metallic Materials
Diegeler, Andreas  
Fraunhofer-Institut für Silicatforschung ISC  
Gogula, Shravya
Clausthal University of Technology, Institute of Non-Metallic Materials
Contreras Jaimes, Altair-Teresa
Fraunhofer-Institut für Silicatforschung ISC  
Kempf, Sebastian
University of Würzburg, Chair of Artificial Intelligence and Knowledge Systems
Kilo, Martin  
Fraunhofer-Institut für Silicatforschung ISC  
Limbach, René
Friedrich Schiller University Jena, Otto Schott Institute of Materials Research
Müller, Ralf
Federal Institute for Materials Research and Testing (BAM), Division 5.6 Glasses
Niebergall, Rick
Fraunhofer-Institut für Silicatforschung ISC  
Pan, Zhiwen
Friedrich Schiller University Jena, Otto Schott Institute of Materials Research
Puppe, Frank
University of Würzburg, Chair of Artificial Intelligence and Knowledge Systems
Reinsch, Stefan
Federal Institute for Materials Research and Testing (BAM), Division 5.6 Glasses
Schottner, Gerhard  
Fraunhofer-Institut für Silicatforschung ISC  
Stier, Simon  
Fraunhofer-Institut für Silicatforschung ISC  
Waurischk, Tina
Federal Institute for Materials Research and Testing (BAM), Division 5.6 Glasses
Wondraczek, Lothar
Friedrich Schiller University Jena, Otto Schott Institute of Materials Research
Sierka, Marek
Friedrich Schiller University Jena, Otto Schott Institute of Materials Research
Journal
Advanced engineering materials  
Open Access
DOI
10.1002/adem.202401560
Language
English
Fraunhofer-Institut für Silicatforschung ISC  
Keyword(s)
  • application ontology

  • digital infrastructure

  • glass ontology

  • glasses

  • semantic data integration

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