Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 109-114 |
| Seitenumfang | 6 |
| Fachzeitschrift | Procedia CIRP |
| Jahrgang | 102 |
| Frühes Online-Datum | 27 Sept. 2021 |
| Publikationsstatus | Veröffentlicht - 2021 |
| Veranstaltung | 18th CIRP Conference on Modeling of Machining Operations, CMMO 2021 - Ljubljana, Slowenien Dauer: 15 Juni 2021 → 17 Juni 2021 |
Abstract
During the ball end micro milling of material measures, the cutting edge topography is imaged on the machined workpiece. The influence of the chipping on the resulting surface quality is much more dominant than other kinematic effects. In this simulative study, a model is built that is able to predict the correlation between the cutting edge topography and the resulting workpiece topography. Thus, the mentioned correlation can be investigated without overlaying effects of material separation or measurement uncertainties, which are unavoidable in an experimental study. The model has been validated based on four artificial chippings.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
- Ingenieurwesen (insg.)
- Wirtschaftsingenieurwesen und Fertigungstechnik
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in: Procedia CIRP, Jahrgang 102, 2021, S. 109-114.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review
}
TY - JOUR
T1 - Kinematic simulation to investigate the influence of the cutting edge topography when ball end micro milling
AU - Klauer, Katja
AU - Altherr, Nicolas
AU - Eifler, Matthias
AU - Kirsch, Benjamin
AU - Böß, Volker
AU - Seewig, Jörg
AU - Aurich, Jan C.
N1 - Funding Information: This project was funded by the National Plan for Science, Technology, and Innovation (MAARIFAH), King Abdulaziz City for Science and Technology, Kingdom of Saudi Arabia, Award No. 14-ADV-182-02.
PY - 2021
Y1 - 2021
N2 - During the ball end micro milling of material measures, the cutting edge topography is imaged on the machined workpiece. The influence of the chipping on the resulting surface quality is much more dominant than other kinematic effects. In this simulative study, a model is built that is able to predict the correlation between the cutting edge topography and the resulting workpiece topography. Thus, the mentioned correlation can be investigated without overlaying effects of material separation or measurement uncertainties, which are unavoidable in an experimental study. The model has been validated based on four artificial chippings.
AB - During the ball end micro milling of material measures, the cutting edge topography is imaged on the machined workpiece. The influence of the chipping on the resulting surface quality is much more dominant than other kinematic effects. In this simulative study, a model is built that is able to predict the correlation between the cutting edge topography and the resulting workpiece topography. Thus, the mentioned correlation can be investigated without overlaying effects of material separation or measurement uncertainties, which are unavoidable in an experimental study. The model has been validated based on four artificial chippings.
KW - cutting edge topography
KW - dexel model
KW - kinematic simulation
KW - micro milling
UR - http://www.scopus.com/inward/record.url?scp=85116873457&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2021.09.019
DO - 10.1016/j.procir.2021.09.019
M3 - Conference article
AN - SCOPUS:85116873457
VL - 102
SP - 109
EP - 114
JO - Procedia CIRP
JF - Procedia CIRP
SN - 2212-8271
T2 - 18th CIRP Conference on Modeling of Machining Operations, CMMO 2021
Y2 - 15 June 2021 through 17 June 2021
ER -