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Originalpublikation
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
Version im Repositorium
Zum Zitieren der Version im Repositorium verwenden Sie bitte diesen DOI:
https://doi.org/10.15488/13964
| Zusammenfassung: | |
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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.
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| Lizenzbestimmungen: | CC BY-NC-ND 4.0 Unported - https://creativecommons.org/licenses/by-nc-nd/4.0/ |
| Publikationstyp: | Article |
| Publikationsstatus: | publishedVersion |
| Erstveröffentlichung: | 2022 |
| Schlagwörter (englisch): | additive manufacturing, additive repair, decision making, knowledge-based engineering (KBE), laser powder bed fusion (LPBF) |
| Fachliche Zuordnung (DDC): | 620 | Ingenieurwissenschaften und Maschinenbau |
| Kontrollierte Schlagwörter: | Konferenzschrift |
Die Publikation erscheint in Sammlung(en):
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