Ontology-based knowledge representation for wire arc additive manufacturing and composite extrusion modeling

Ahmad, M. E. and Peralta Abadía, J. J. and Chmelnizkij, A. and Reimann, J. and Hildebrand, J. and Bergmann, J. P. and Smarsly, K.; Moreno-Rangel, Alejandro and Kumar, Bimal, eds. (2025) Ontology-based knowledge representation for wire arc additive manufacturing and composite extrusion modeling. In: EG-ICE 2025. University of Strathclyde Publishing, GBR, pp. 452-460. ISBN 9781914241826 (https://doi.org/10.17868/strath.00093220)

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Abstract

Knowledge representation in additive manufacturing (AM) is essential for data management, enabling semantic interoperability and decision-making. Wire arc additive manufacturing (WAAM) and composite extrusion modeling (CEM) are advanced manufacturing methods employed within metal-based additive manufacturing. Although knowledge representation in AM has been widely explored, there is a notable gap in research addressing knowledge representation tailored to WAAM and CEM. Aiming to advance knowledge representation for WAAM and CEM, this paper proposes an ontology-based knowledge representation approach. Two ontologies, the Wire Arc Additive Manufacturing Application Ontology (WAAMAO) and the Composite Extrusion Modeling Application Ontology (CEMAO), are proposed, following a well-known ontology engineering methodology to ensure a rigorous and systematic ontology design process. To validate the proposed approach, a manufacturing information system utilizing both ontologies is presented. The findings highlight the capability of WAAMAO and CEMAO in knowledge representation, enabling efficient data management and supporting semantic interoperability in metal-based AM processes.

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• Item metadata

  Item type:	Book Section
  ID code:	93220
  Dates:	Date Event 1 July 2025 Published 9 June 2025 Accepted
  Subjects:	Technology > Manufactures
  Department:	Faculty of Engineering > Architecture
  Depositing user:	Pure Administrator
  Date deposited:	26 Jun 2025 14:03
  Last modified:	20 Sep 2026 00:08
  URI:	https://strathprints.strath.ac.uk/id/eprint/93220