Details
Translated title of the contribution | Process parallel adaption of the tool path for 3-axis-milling |
---|---|
Original language | German |
Pages (from-to) | 25-29 |
Number of pages | 5 |
Journal | Zeitschrift Kunststofftechnik/Journal of Plastics Technology |
Volume | 117 |
Issue number | 2 |
Early online date | 10 Feb 2022 |
Publication status | Published - Feb 2022 |
Abstract
Process Parallel Adaption of the Tool Path for 3-Axis-Milling. The depth and width of cut are important factors for productivity and quality in milling operations. Up to now, suitable values have been determined manually by timeconsuming running-in processes. Intelligent systems for autonomous parameter adaption could simultaneously increase productivity and minimize the manual effort required for process preparation. However, the implementation of such systems has so far lacked possibilities for process-parallel adaption of depth and width of cut.
ASJC Scopus subject areas
- Materials Science(all)
- Polymers and Plastics
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In: Zeitschrift Kunststofftechnik/Journal of Plastics Technology, Vol. 117, No. 2, 02.2022, p. 25-29.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Prozessparallele Bahnanpassung für die 3-Achs-Fräsbearbeitung
AU - Denkena, Berend
AU - Bergmann, Benjamin
AU - Böß, Volker
AU - Reimer, Svenja
PY - 2022/2
Y1 - 2022/2
N2 - Process Parallel Adaption of the Tool Path for 3-Axis-Milling. The depth and width of cut are important factors for productivity and quality in milling operations. Up to now, suitable values have been determined manually by timeconsuming running-in processes. Intelligent systems for autonomous parameter adaption could simultaneously increase productivity and minimize the manual effort required for process preparation. However, the implementation of such systems has so far lacked possibilities for process-parallel adaption of depth and width of cut.
AB - Process Parallel Adaption of the Tool Path for 3-Axis-Milling. The depth and width of cut are important factors for productivity and quality in milling operations. Up to now, suitable values have been determined manually by timeconsuming running-in processes. Intelligent systems for autonomous parameter adaption could simultaneously increase productivity and minimize the manual effort required for process preparation. However, the implementation of such systems has so far lacked possibilities for process-parallel adaption of depth and width of cut.
KW - Autonomous Machine Tool
KW - Milling
KW - Process Control
KW - Process Parallel Adaption of the Tool Path
UR - http://www.scopus.com/inward/record.url?scp=85125014547&partnerID=8YFLogxK
U2 - 10.1515/zwf-2022-1016
DO - 10.1515/zwf-2022-1016
M3 - Artikel
VL - 117
SP - 25
EP - 29
JO - Zeitschrift Kunststofftechnik/Journal of Plastics Technology
JF - Zeitschrift Kunststofftechnik/Journal of Plastics Technology
SN - 1864-2217
IS - 2
ER -