Details
| Original language | English |
|---|---|
| Title of host publication | IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2022 |
| Publisher | IEEE Computer Society |
| Pages | 1578-1582 |
| Number of pages | 5 |
| ISBN (electronic) | 9781665486873 |
| ISBN (print) | 978-1-6654-8688-0 |
| Publication status | Published - 2022 |
| Event | 2022 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2022 - Kuala Lumpur, Malaysia Duration: 7 Dec 2022 → 10 Dec 2022 |
Publication series
| Name | IEEE International Conference on Industrial Engineering and Engineering Management |
|---|---|
| Volume | 2022-December |
| ISSN (Print) | 2157-3611 |
| ISSN (electronic) | 2157-362X |
Abstract
Due to complex geometries, filigree structures, and difficult clamping conditions, the manufacturing of implants in single-part or small-batch production is challenging. The intelligent manufacturing cell presented here can minimize the effort for process setup and ensures constant product quality through process control. The cell independently evaluates the quality of the machined implants using tactile and optical measurements and, if necessary, adapts the tool paths. This allows for reducing shape deviations up to 69% while reducing certification effort.
Keywords
- Error compensation, G-code adaption, Implant manufacturing, Manufacturing cell
ASJC Scopus subject areas
- Business, Management and Accounting(all)
- Business, Management and Accounting (miscellaneous)
- Engineering(all)
- Industrial and Manufacturing Engineering
- Engineering(all)
- Safety, Risk, Reliability and Quality
Cite this
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IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2022. IEEE Computer Society, 2022. p. 1578-1582 (IEEE International Conference on Industrial Engineering and Engineering Management; Vol. 2022-December).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Intelligent Manufacturing Cell for Implants
AU - Denkena, B.
AU - Klemme, H.
AU - Kaiser, S.
AU - Shanib, M.
N1 - Funding Information: This project is funded by the German Federal Ministry of Education and Research (BMBF) within the Framework Concept “Production for medical technology - economical and in highest quality “(funding number 02P18C033) and managed by the Project Management Agency Karlsruhe (PTKA). The authors are responsible for the contents of this publication.
PY - 2022
Y1 - 2022
N2 - Due to complex geometries, filigree structures, and difficult clamping conditions, the manufacturing of implants in single-part or small-batch production is challenging. The intelligent manufacturing cell presented here can minimize the effort for process setup and ensures constant product quality through process control. The cell independently evaluates the quality of the machined implants using tactile and optical measurements and, if necessary, adapts the tool paths. This allows for reducing shape deviations up to 69% while reducing certification effort.
AB - Due to complex geometries, filigree structures, and difficult clamping conditions, the manufacturing of implants in single-part or small-batch production is challenging. The intelligent manufacturing cell presented here can minimize the effort for process setup and ensures constant product quality through process control. The cell independently evaluates the quality of the machined implants using tactile and optical measurements and, if necessary, adapts the tool paths. This allows for reducing shape deviations up to 69% while reducing certification effort.
KW - Error compensation
KW - G-code adaption
KW - Implant manufacturing
KW - Manufacturing cell
UR - http://www.scopus.com/inward/record.url?scp=85146353892&partnerID=8YFLogxK
U2 - 10.1109/IEEM55944.2022.9989587
DO - 10.1109/IEEM55944.2022.9989587
M3 - Conference contribution
AN - SCOPUS:85146353892
SN - 978-1-6654-8688-0
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 1578
EP - 1582
BT - IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2022
PB - IEEE Computer Society
T2 - 2022 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2022
Y2 - 7 December 2022 through 10 December 2022
ER -