Knowledge-Based Assistance System for Part Preparation in Additive Repair by Laser Powder Bed Fusion

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dc.identifier.uri http://dx.doi.org/10.15488/13964
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/14078
dc.contributor.author Ganter, N.V.
dc.contributor.author Hoppe, L.V.
dc.contributor.author Dünte, J.
dc.contributor.author Gembarski, P.C.
dc.contributor.author Lachmayer, R.
dc.date.accessioned 2023-06-29T06:32:21Z
dc.date.available 2023-06-29T06:32:21Z
dc.date.issued 2022
dc.identifier.citation Ganter, N.V.; Hoppe, L.V.; Dünte, J.; Gembarski, P.C.; Lachmayer, R.: Knowledge-Based Assistance System for Part Preparation in Additive Repair by Laser Powder Bed Fusion. In: Proceedings of the Design Society 2 (2022), S. 1381-1390. DOI: https://doi.org/10.1017/pds.2022.140
dc.description.abstract For the economic use of repair in the spare parts business, additive repair by Laser Powder Bed Fusion (LPBF) is a promising technology. As material can only be applied to a flat surface in LPBF, prior machining is required. The selection of the section plane requires expert knowledge, though. To provide that knowledge and recommend a suitable section plane, an expert system can be used. In this paper, a concept for such an expert system is presented and its functionality is evaluated by an example. eng
dc.language.iso eng
dc.publisher Cambridge : Cambridge University Press
dc.relation.ispartofseries Proceedings of the Design Society 2 (2022)
dc.rights CC BY-NC-ND 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject additive manufacturing eng
dc.subject additive repair eng
dc.subject decision making eng
dc.subject knowledge-based engineering (KBE) eng
dc.subject laser powder bed fusion (LPBF) eng
dc.subject.classification Konferenzschrift ger]
dc.subject.ddc 620 | Ingenieurwissenschaften und Maschinenbau
dc.title Knowledge-Based Assistance System for Part Preparation in Additive Repair by Laser Powder Bed Fusion eng
dc.type Article
dc.type Text
dc.relation.essn 2732-527X
dc.relation.doi https://doi.org/10.1017/pds.2022.140
dc.bibliographicCitation.volume 2
dc.bibliographicCitation.firstPage 1381
dc.bibliographicCitation.lastPage 1390
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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