Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 140-149 |
| Seitenumfang | 10 |
| Fachzeitschrift | CIRP Journal of Manufacturing Science and Technology |
| Jahrgang | 21 |
| Frühes Online-Datum | 13 Feb. 2018 |
| Publikationsstatus | Veröffentlicht - Mai 2018 |
Abstract
Process induced heat causes workpiece shape deviations during machining and may result in rejected parts. As unpredictable processing and boundary conditions cannot be simulated in the process planning phase, a process parallel simulation of the workpiece temperature is required to observe and compensate thermal effects. To parametrize the process parallel simulation model, a parameter identification method for milling operations is developed. With model order reduction (MOR) the computational time is reduced to enable the process parallel simulation. An observer based on a few temperature measurements during machining is designed to reconstruct the non-measurable temperature distribution. A validation proves the methods’ potential.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Wirtschaftsingenieurwesen und Fertigungstechnik
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in: CIRP Journal of Manufacturing Science and Technology, Jahrgang 21, 05.2018, S. 140-149.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Process parallel simulation of workpiece temperatures using sensory workpieces
AU - Denkena, Berend
AU - Dittrich, Marc André
AU - Uhlich, Florian
AU - Wichmann, Marcel
AU - Mücke, Markus
N1 - © 2018 CIRP.
PY - 2018/5
Y1 - 2018/5
N2 - Process induced heat causes workpiece shape deviations during machining and may result in rejected parts. As unpredictable processing and boundary conditions cannot be simulated in the process planning phase, a process parallel simulation of the workpiece temperature is required to observe and compensate thermal effects. To parametrize the process parallel simulation model, a parameter identification method for milling operations is developed. With model order reduction (MOR) the computational time is reduced to enable the process parallel simulation. An observer based on a few temperature measurements during machining is designed to reconstruct the non-measurable temperature distribution. A validation proves the methods’ potential.
AB - Process induced heat causes workpiece shape deviations during machining and may result in rejected parts. As unpredictable processing and boundary conditions cannot be simulated in the process planning phase, a process parallel simulation of the workpiece temperature is required to observe and compensate thermal effects. To parametrize the process parallel simulation model, a parameter identification method for milling operations is developed. With model order reduction (MOR) the computational time is reduced to enable the process parallel simulation. An observer based on a few temperature measurements during machining is designed to reconstruct the non-measurable temperature distribution. A validation proves the methods’ potential.
KW - Finite element method (FEM)
KW - Milling
KW - Modeling
KW - Temperature
KW - Thermal effects
UR - http://www.scopus.com/inward/record.url?scp=85041899810&partnerID=8YFLogxK
U2 - 10.1016/j.cirpj.2018.01.004
DO - 10.1016/j.cirpj.2018.01.004
M3 - Article
AN - SCOPUS:85041899810
VL - 21
SP - 140
EP - 149
JO - CIRP Journal of Manufacturing Science and Technology
JF - CIRP Journal of Manufacturing Science and Technology
SN - 1755-5817
ER -