Details
Originalsprache | Englisch |
---|---|
Seiten (von - bis) | 122-127 |
Seitenumfang | 6 |
Fachzeitschrift | Procedia CIRP |
Jahrgang | 112 |
Frühes Online-Datum | 22 Sept. 2022 |
Publikationsstatus | Veröffentlicht - 2022 |
Veranstaltung | 15th CIRP Conference on Intelligent Computation in Manufacturing Engineering, ICME 2021 - Naples, Italien Dauer: 14 Juli 2021 → 16 Juli 2021 |
Abstract
The production of implants is challenging due to their complex shapes, the filigree structures and the great regulatory effort. Therefore, a manufacturing cell with an integrated optical measurement was realized. The measurement system is used to determine the geometric deviations and to fulfill the documentation obligation. The measurement data are used to create a matrix containing the nominal coordinates and the error vector for compensation points at the relevant shapes. Based on this, the corresponding tool-path segments are isolated in the G-Code and compensated in order to reduce the geometric deviations. With this method, the deviation could be reduced by 85 %. However, it is pointed out, that the result of the compensation strongly depends on the quality of the optical measurement data.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
- Ingenieurwesen (insg.)
- Wirtschaftsingenieurwesen und Fertigungstechnik
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in: Procedia CIRP, Jahrgang 112, 2022, S. 122-127.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review
}
TY - JOUR
T1 - Close-to-process compensation of geometric deviations on implants based on optical measurement data
AU - Denkena, Berend
AU - Bergmann, Benjamin
AU - Kaiser, Sebastian
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 - The production of implants is challenging due to their complex shapes, the filigree structures and the great regulatory effort. Therefore, a manufacturing cell with an integrated optical measurement was realized. The measurement system is used to determine the geometric deviations and to fulfill the documentation obligation. The measurement data are used to create a matrix containing the nominal coordinates and the error vector for compensation points at the relevant shapes. Based on this, the corresponding tool-path segments are isolated in the G-Code and compensated in order to reduce the geometric deviations. With this method, the deviation could be reduced by 85 %. However, it is pointed out, that the result of the compensation strongly depends on the quality of the optical measurement data.
AB - The production of implants is challenging due to their complex shapes, the filigree structures and the great regulatory effort. Therefore, a manufacturing cell with an integrated optical measurement was realized. The measurement system is used to determine the geometric deviations and to fulfill the documentation obligation. The measurement data are used to create a matrix containing the nominal coordinates and the error vector for compensation points at the relevant shapes. Based on this, the corresponding tool-path segments are isolated in the G-Code and compensated in order to reduce the geometric deviations. With this method, the deviation could be reduced by 85 %. However, it is pointed out, that the result of the compensation strongly depends on the quality of the optical measurement data.
KW - Compensation
KW - G-Code Adaption
KW - Implant production
KW - Optical measurement
UR - http://www.scopus.com/inward/record.url?scp=85142627659&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2022.09.049
DO - 10.1016/j.procir.2022.09.049
M3 - Conference article
AN - SCOPUS:85142627659
VL - 112
SP - 122
EP - 127
JO - Procedia CIRP
JF - Procedia CIRP
SN - 2212-8271
T2 - 15th CIRP Conference on Intelligent Computation in Manufacturing Engineering, ICME 2021
Y2 - 14 July 2021 through 16 July 2021
ER -