Details
| Translated title of the contribution | Algorithmic optimization of forging pre-forms - Desinging stage sequences by using genetic algorithms |
|---|---|
| Original language | German |
| Pages (from-to) | 768-774 |
| Number of pages | 7 |
| Journal | ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb |
| Volume | 104 |
| Issue number | 9 |
| Publication status | Published - 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 subject areas
- Engineering(all)
- General Engineering
- Business, Management and Accounting(all)
- Strategy and Management
- Decision Sciences(all)
- Management Science and Operations Research
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In: ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, Vol. 104, No. 9, 09.2009, p. 768-774.
Research output: Contribution to journal › Article › Research › 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 -