Close-to-process compensation of geometric deviations on implants based on optical measurement data

Publikation: Beitrag in FachzeitschriftKonferenzaufsatz in FachzeitschriftForschungPeer-Review

Autoren

  • Berend Denkena
  • Benjamin Bergmann
  • Sebastian Kaiser
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Details

OriginalspracheEnglisch
Seiten (von - bis)122-127
Seitenumfang6
FachzeitschriftProcedia CIRP
Jahrgang112
Frühes Online-Datum22 Sept. 2022
PublikationsstatusVeröffentlicht - 2022
Veranstaltung15th CIRP Conference on Intelligent Computation in Manufacturing Engineering, ICME 2021 - Naples, Italien
Dauer: 14 Juli 202116 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.

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Close-to-process compensation of geometric deviations on implants based on optical measurement data. / Denkena, Berend; Bergmann, Benjamin; Kaiser, Sebastian.
in: Procedia CIRP, Jahrgang 112, 2022, S. 122-127.

Publikation: Beitrag in FachzeitschriftKonferenzaufsatz in FachzeitschriftForschungPeer-Review

Denkena B, Bergmann B, Kaiser S. Close-to-process compensation of geometric deviations on implants based on optical measurement data. Procedia CIRP. 2022;112:122-127. Epub 2022 Sep 22. doi: 10.1016/j.procir.2022.09.049
Denkena, Berend ; Bergmann, Benjamin ; Kaiser, Sebastian. / Close-to-process compensation of geometric deviations on implants based on optical measurement data. in: Procedia CIRP. 2022 ; Jahrgang 112. S. 122-127.
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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.

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