Details
Titel in Übersetzung | Algorithmic optimization of forging pre-forms - Desinging stage sequences by using genetic algorithms |
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Originalsprache | Deutsch |
Seiten (von - bis) | 768-774 |
Seitenumfang | 7 |
Fachzeitschrift | ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb |
Jahrgang | 104 |
Ausgabenummer | 9 |
Publikationsstatus | Veröffentlicht - Sept. 2009 |
Abstract
At present, the successful design of an optimal forging sequence of precission forging considerably depends on the know-how of the technical designer. In future, this trial and error procedure is to be supported by means of stochastic optimization procedures, in order to simplify the design process of a suitable preform geometry and to shorten the development time of a forging sequence clearly. Pre-form optimization aims at designing a form under the condition of complete and fold-free form-filling. Additionally, it is focused to maximizing the deformation degree and minimizing the forming forces arising in the component and the tool load. In the article an approach is introduced, which combines forging simulation with genetic algorithms for the above mentioned optimization.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Allgemeiner Maschinenbau
- Betriebswirtschaft, Management und Rechnungswesen (insg.)
- Strategie und Management
- Entscheidungswissenschaften (insg.)
- Managementlehre und Operations Resarch
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in: ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, Jahrgang 104, Nr. 9, 09.2009, S. 768-774.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Algorithmische Vorformoptimierung
T2 - Nutzung evolutionärer Algorithmen zur Auslegung von Stadienfolgen für das Gesenkschmieden
AU - Fanacht, Peer
AU - Meyer, Matthias
AU - Nickel, Rouven
AU - Overmeyer, Ludger
PY - 2009/9
Y1 - 2009/9
N2 - At present, the successful design of an optimal forging sequence of precission forging considerably depends on the know-how of the technical designer. In future, this trial and error procedure is to be supported by means of stochastic optimization procedures, in order to simplify the design process of a suitable preform geometry and to shorten the development time of a forging sequence clearly. Pre-form optimization aims at designing a form under the condition of complete and fold-free form-filling. Additionally, it is focused to maximizing the deformation degree and minimizing the forming forces arising in the component and the tool load. In the article an approach is introduced, which combines forging simulation with genetic algorithms for the above mentioned optimization.
AB - At present, the successful design of an optimal forging sequence of precission forging considerably depends on the know-how of the technical designer. In future, this trial and error procedure is to be supported by means of stochastic optimization procedures, in order to simplify the design process of a suitable preform geometry and to shorten the development time of a forging sequence clearly. Pre-form optimization aims at designing a form under the condition of complete and fold-free form-filling. Additionally, it is focused to maximizing the deformation degree and minimizing the forming forces arising in the component and the tool load. In the article an approach is introduced, which combines forging simulation with genetic algorithms for the above mentioned optimization.
UR - http://www.scopus.com/inward/record.url?scp=73149108228&partnerID=8YFLogxK
U2 - 10.3139/104.110148
DO - 10.3139/104.110148
M3 - Artikel
AN - SCOPUS:73149108228
VL - 104
SP - 768
EP - 774
JO - ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb
JF - ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb
SN - 0947-0085
IS - 9
ER -