Details
Original language | English |
---|---|
Pages (from-to) | 1381-1390 |
Number of pages | 10 |
Journal | Proceedings of the Design Society |
Volume | 2 |
Publication status | Published - May 2022 |
Event | 17th International Design Conference, DESIGN 2022 - Virtual, Online, Croatia Duration: 23 May 2022 → 26 May 2022 |
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.
Keywords
- additive manufacturing, additive repair, decision making, knowledge-based engineering (KBE), laser powder bed fusion (LPBF)
ASJC Scopus subject areas
- Computer Science(all)
- Computer Graphics and Computer-Aided Design
- Computer Science(all)
- Computer Science Applications
- Computer Science(all)
- Software
- Mathematics(all)
- Modelling and Simulation
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: Proceedings of the Design Society, Vol. 2, 05.2022, p. 1381-1390.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Knowledge-Based Assistance System for Part Preparation in Additive Repair by Laser Powder Bed Fusion
AU - Ganter, N. V.
AU - Hoppe, L. V.
AU - Dünte, J.
AU - Gembarski, P. C.
AU - Lachmayer, R.
N1 - Funding Information: This research was conducted in the scope of the research project RePARE-Regeneration of product and production systems through additive repair and refurbishment (Funding reference number 033R229) which is funded by Federal Ministry of Education and Research (BMBF) within the funding measure “Resourceefficient Circular Economy - Innovative Product Cycles” (ReziProK).
PY - 2022/5
Y1 - 2022/5
N2 - 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.
AB - 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.
KW - additive manufacturing
KW - additive repair
KW - decision making
KW - knowledge-based engineering (KBE)
KW - laser powder bed fusion (LPBF)
UR - http://www.scopus.com/inward/record.url?scp=85131383449&partnerID=8YFLogxK
U2 - 10.1017/pds.2022.140
DO - 10.1017/pds.2022.140
M3 - Conference article
AN - SCOPUS:85131383449
VL - 2
SP - 1381
EP - 1390
JO - Proceedings of the Design Society
JF - Proceedings of the Design Society
T2 - 17th International Design Conference, DESIGN 2022
Y2 - 23 May 2022 through 26 May 2022
ER -