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Download statistics - Document (COUNTER):
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
Repository version
Selected time period:
Sum total of downloads: 39
| 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. | |
| License of this version: | CC BY-NC-ND 4.0 Unported |
| Document Type: | Article |
| Publishing status: | publishedVersion |
| Issue Date: | 2022 |
| Appears in Collections: | Fakultät für Maschinenbau |
distribution of downloads over the selected time period:
downloads by country:
| pos. | country | downloads | ||
|---|---|---|---|---|
| total | perc. | |||
| 1 |  |
Germany | 23 | 58.97% |
| 2 |  |
United States | 9 | 23.08% |
| 3 |  |
Netherlands | 2 | 5.13% |
| 4 |  |
India | 1 | 2.56% |
| 5 |  |
Indonesia | 1 | 2.56% |
| 6 |  |
France | 1 | 2.56% |
| 7 |  |
Europe | 1 | 2.56% |
| 8 |  |
China | 1 | 2.56% |
Further download figures and rankings:
Hinweis
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