Details
| Original language | English |
|---|---|
| Pages (from-to) | 1-5 |
| Number of pages | 5 |
| Journal | CIRP Journal of Manufacturing Science and Technology |
| Volume | 23 |
| Early online date | 31 Oct 2018 |
| Publication status | Published - Nov 2018 |
Abstract
A new design concept for high-performance components involves the combination of different materials in workpiece compounds. This paper examines a predictive process parameter adaptation (PPPA) for the machining of friction welded EN‐AW6082/20MnCr5 shafts. The influences of the different material properties on the process forces and the shaft geometry were investigated. The machined material was identified by monitoring the material specific cutting force. The system latency of the components was modeled and used to define the starting position for the process parameter adaptation. To this end, the reaction time, delay time and mechanical adaptation time of the axes were determined and the inaccuracy of the model was discussed. A longitudinal turning process was performed with activated PPPA. The maximum tool load was successfully limited and the geometry error of the shaft diameter was reduced by approximately 90%.
Keywords
- Hybrid parts, Model, Monitoring, Turning
ASJC Scopus subject areas
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: CIRP Journal of Manufacturing Science and Technology, Vol. 23, 11.2018, p. 1-5.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Investigations on a predictive process parameter adaptation for machining of hybrid workpieces
AU - Denkena, Berend
AU - Bergmann, Benjamin
AU - Witt, Matthias
N1 - © 2018 CIRP.
PY - 2018/11
Y1 - 2018/11
N2 - A new design concept for high-performance components involves the combination of different materials in workpiece compounds. This paper examines a predictive process parameter adaptation (PPPA) for the machining of friction welded EN‐AW6082/20MnCr5 shafts. The influences of the different material properties on the process forces and the shaft geometry were investigated. The machined material was identified by monitoring the material specific cutting force. The system latency of the components was modeled and used to define the starting position for the process parameter adaptation. To this end, the reaction time, delay time and mechanical adaptation time of the axes were determined and the inaccuracy of the model was discussed. A longitudinal turning process was performed with activated PPPA. The maximum tool load was successfully limited and the geometry error of the shaft diameter was reduced by approximately 90%.
AB - A new design concept for high-performance components involves the combination of different materials in workpiece compounds. This paper examines a predictive process parameter adaptation (PPPA) for the machining of friction welded EN‐AW6082/20MnCr5 shafts. The influences of the different material properties on the process forces and the shaft geometry were investigated. The machined material was identified by monitoring the material specific cutting force. The system latency of the components was modeled and used to define the starting position for the process parameter adaptation. To this end, the reaction time, delay time and mechanical adaptation time of the axes were determined and the inaccuracy of the model was discussed. A longitudinal turning process was performed with activated PPPA. The maximum tool load was successfully limited and the geometry error of the shaft diameter was reduced by approximately 90%.
KW - Hybrid parts
KW - Model
KW - Monitoring
KW - Turning
UR - http://www.scopus.com/inward/record.url?scp=85055749108&partnerID=8YFLogxK
U2 - 10.1016/j.cirpj.2018.10.004
DO - 10.1016/j.cirpj.2018.10.004
M3 - Article
AN - SCOPUS:85055749108
VL - 23
SP - 1
EP - 5
JO - CIRP Journal of Manufacturing Science and Technology
JF - CIRP Journal of Manufacturing Science and Technology
SN - 1755-5817
ER -