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A Description Logic Based Ontology for Knowledge Representation in Process Planning for Laser Powder Bed Fusion. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12094612] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Laser powder bed fusion (LPBF) provides a rapid and cost-effective solution for fabricating metallic parts with near full density and high precision, strength, and stiffness directly from metallic powders. In LPBF, process variables are widely recognised as fundamental factors that have important effect on the quality of the built parts. However, activity of designing process variables for LPBF, i.e., process planning for LPBF, still heavily depends on knowledge from domain experts. This necessitates a knowledge base that enables the capture, representation, inference, and reuse of existing knowledge. In this paper, a description logic (DL) based ontology for knowledge representation in process planning for LPBF is presented. Firstly, a set of top-level DL entities and specific DL entities and semantic web rule language (SWRL) rules for part orientation, support generation, model slicing, and path planning are created to construct the ontology. The application of the ontology is then illustrated via process planning on an LPBF part. Finally, the benefits of the ontology are demonstrated through a few examples. The demonstration results show that the ontology has rigorous computer-interpretable semantics, which provides a semantic enrichment model for LPBF process planning knowledge and enables automatic consistency checking of the ontology, knowledge reasoning on the ontology, and semantic query from the ontology. This would lay solid foundation for development of a process planning tool with autonomous decision-making capability.
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Nzetchou S, Durupt A, Remy S, Eynard B. Semantic enrichment approach for low-level CAD models managed in PLM context: Literature review and research prospect. COMPUT IND 2022. [DOI: 10.1016/j.compind.2021.103575] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Ramírez-Durán VJ, Berges I, Illarramendi A. Towards the implementation of Industry 4.0: A methodology-based approach oriented to the customer life cycle. COMPUT IND 2021. [DOI: 10.1016/j.compind.2021.103403] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Adamczyk BS, Szejka AL, Canciglieri O. Knowledge-based expert system to support the semantic interoperability in smart manufacturing. COMPUT IND 2020. [DOI: 10.1016/j.compind.2019.103161] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Mcharek M, Hammadi M, Azib T, Larouci C, Choley JY. Collaborative design process and product knowledge methodology for mechatronic systems. COMPUT IND 2019. [DOI: 10.1016/j.compind.2018.12.008] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Fortineau V, Paviot T, Lamouri S. Automated business rules and requirements to enrich product-centric information. COMPUT IND 2019. [DOI: 10.1016/j.compind.2018.10.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Leukel J, Sugumaran V. How product representation influences the understanding of supply chain process models. ENTERP INF SYST-UK 2018. [DOI: 10.1080/17517575.2018.1533589] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Affiliation(s)
- Joerg Leukel
- Faculty of Business, Economics & Social Sciences, University of Hohenheim, Stuttgart, Germany
| | - Vijayan Sugumaran
- Department of Decision and Information Sciences, Oakland University, Rochester, MI, USA
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Abadi A, Ben-Azza H, Sekkat S. Improving integrated product design using SWRL rules expression and ontology-based reasoning. ACTA ACUST UNITED AC 2018. [DOI: 10.1016/j.procs.2018.01.139] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Gruhier E, Demoly F, Gomes S. A spatiotemporal information management framework for product design and assembly process planning reconciliation. COMPUT IND 2017. [DOI: 10.1016/j.compind.2017.04.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Negri E, Fumagalli L, Garetti M, Tanca L. Requirements and languages for the semantic representation of manufacturing systems. COMPUT IND 2016. [DOI: 10.1016/j.compind.2015.10.009] [Citation(s) in RCA: 70] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Tchoffa D, Figay N, Ghodous P, Exposito E, Kermad L, Vosgien T, El Mhamedi A. Digital factory system for dynamic manufacturing network supporting networked collaborative product development. DATA KNOWL ENG 2016. [DOI: 10.1016/j.datak.2016.02.004] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Panetto H, Zdravkovic M, Jardim-Goncalves R, Romero D, Cecil J, Mezgár I. New perspectives for the future interoperable enterprise systems. COMPUT IND 2016. [DOI: 10.1016/j.compind.2015.08.001] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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What does PLMS (product lifecycle management systems) manage: Data or documents? Complementarity and contingency for SMEs. COMPUT IND 2016. [DOI: 10.1016/j.compind.2015.05.005] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Pirayesh Neghab A, Etienne A, Kleiner M, Roucoules L. Performance evaluation of collaboration in the design process: Using interoperability measurement. COMPUT IND 2015. [DOI: 10.1016/j.compind.2015.03.011] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Rico M, Caliusco ML, Chiotti O, Galli MR. OntoQualitas: A framework for ontology quality assessment in information interchanges between heterogeneous systems. COMPUT IND 2014. [DOI: 10.1016/j.compind.2014.07.010] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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