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 |
|