Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 102-107 |
| Seitenumfang | 6 |
| Fachzeitschrift | Procedia CIRP |
| Jahrgang | 85 |
| Publikationsstatus | Veröffentlicht - 30 Dez. 2019 |
| Veranstaltung | 2nd CIRP Conference on Composite Material Parts Manufacturing, CIRP-CCMPM 2019 - Sheffield, Großbritannien / Vereinigtes Königreich Dauer: 10 Okt. 2019 → 11 Okt. 2019 |
Abstract
In this contribution, a computational approach for the manufacturing of multi-material lightweight parts is presented. For an efficient online optimization procedure, a proper orthogonal decomposition on offline obtained numerical results is carried out to construct a surrogate model. The functionality of the proposed framework is demonstrated on a use case study of a multi-material component consisting of a sheet metal basic structure and a plastic reinforcement structure. The manufacturing process chain consists of a deep drawing process followed by an injection molding process of short fiber reinforced plastics. The proposed methodology provides a fast and accurate computational model for structural properties with respect to the process settings.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
- Ingenieurwesen (insg.)
- Wirtschaftsingenieurwesen und Fertigungstechnik
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in: Procedia CIRP, Jahrgang 85, 30.12.2019, S. 102-107.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review
}
TY - JOUR
T1 - Computational Manufacturing for Multi-Material Lightweight Parts
AU - Hürkamp, André
AU - Lorenz, Ralf
AU - Behrens, Bernd Arno
AU - Dröder, Klaus
N1 - Funding information: This research and results published are based on the research program Mobilise funded by the Ministry of Science and Culture of Lower Saxony and the Volkswagen Foundation.
PY - 2019/12/30
Y1 - 2019/12/30
N2 - In this contribution, a computational approach for the manufacturing of multi-material lightweight parts is presented. For an efficient online optimization procedure, a proper orthogonal decomposition on offline obtained numerical results is carried out to construct a surrogate model. The functionality of the proposed framework is demonstrated on a use case study of a multi-material component consisting of a sheet metal basic structure and a plastic reinforcement structure. The manufacturing process chain consists of a deep drawing process followed by an injection molding process of short fiber reinforced plastics. The proposed methodology provides a fast and accurate computational model for structural properties with respect to the process settings.
AB - In this contribution, a computational approach for the manufacturing of multi-material lightweight parts is presented. For an efficient online optimization procedure, a proper orthogonal decomposition on offline obtained numerical results is carried out to construct a surrogate model. The functionality of the proposed framework is demonstrated on a use case study of a multi-material component consisting of a sheet metal basic structure and a plastic reinforcement structure. The manufacturing process chain consists of a deep drawing process followed by an injection molding process of short fiber reinforced plastics. The proposed methodology provides a fast and accurate computational model for structural properties with respect to the process settings.
KW - Composites
KW - Finite element method (FEM)
KW - Production planning
KW - Simulation
UR - http://www.scopus.com/inward/record.url?scp=85081098896&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2019.09.041
DO - 10.1016/j.procir.2019.09.041
M3 - Conference article
AN - SCOPUS:85081098896
VL - 85
SP - 102
EP - 107
JO - Procedia CIRP
JF - Procedia CIRP
SN - 2212-8271
T2 - 2nd CIRP Conference on Composite Material Parts Manufacturing, CIRP-CCMPM 2019
Y2 - 10 October 2019 through 11 October 2019
ER -