Details
| Translated title of the contribution | Optimization of forging preforms by using genetic algorithms: Designing stage sequences by using genetic algorithms |
|---|---|
| Original language | German |
| Pages (from-to) | 133-138 |
| Number of pages | 6 |
| Journal | ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb |
| Volume | 107 |
| Issue number | 3 |
| Publication status | Published - 1 Mar 2012 |
Abstract
The successful design of an optimal stage sequence for a forging process depends on the knowhow of the technical designer. The goal of a preform optimization is to design the form under a condition of a complete and foldsfree shaping of the finished form. In the article an approach is introduced, which is able to reach such an optimization through coupling of forging simulations with genetic algorithms.
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. 107, No. 3, 01.03.2012, p. 133-138.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Vorformoptimierung mittels Evolutionären Algorithmen
T2 - Auslegung von Stadienfolgen im Schmiedeprozess unter Nutzung Evolutionärer Algorithmen
AU - Faßnacht, Peer
AU - Meyer, Matthias
AU - Nickel, Rouven
AU - Behrens, Bernd Arno
PY - 2012/3/1
Y1 - 2012/3/1
N2 - The successful design of an optimal stage sequence for a forging process depends on the knowhow of the technical designer. The goal of a preform optimization is to design the form under a condition of a complete and foldsfree shaping of the finished form. In the article an approach is introduced, which is able to reach such an optimization through coupling of forging simulations with genetic algorithms.
AB - The successful design of an optimal stage sequence for a forging process depends on the knowhow of the technical designer. The goal of a preform optimization is to design the form under a condition of a complete and foldsfree shaping of the finished form. In the article an approach is introduced, which is able to reach such an optimization through coupling of forging simulations with genetic algorithms.
UR - http://www.scopus.com/inward/record.url?scp=84862087087&partnerID=8YFLogxK
M3 - Artikel
AN - SCOPUS:84862087087
VL - 107
SP - 133
EP - 138
JO - ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb
JF - ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb
SN - 0947-0085
IS - 3
ER -