Details
| Titel in Übersetzung | Automatic design of mold temperature control systems by means of nature-inspired algorithms |
|---|---|
| Originalsprache | Deutsch |
| Seiten (von - bis) | 867-872 |
| Seitenumfang | 6 |
| Fachzeitschrift | ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb |
| Jahrgang | 106 |
| Ausgabenummer | 11 |
| Publikationsstatus | Veröffentlicht - Nov. 2011 |
Abstract
Use of evolution strategies and artificial neural networks for positioning and configuration of heating/cooling Channels. The quality of molded products and production cycle times are influenced by mold temperature control systems. Today experienced technical designers are developing form-fitting temperature control systems manually. Afterwards they analyzes the systems in iterative and experimental simulations. Here, a method for automatic design of mold temperature control systems is presented. The method uses nature-inspired algorithms, which improve the economical benefit of the construction process and the injection molding process.
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 106, Nr. 11, 11.2011, S. 867-872.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Automatisierte Temperiersystemauslegung mit naturanalogen Verlahren
AU - Faßnacht, Peer
AU - Overmeyer, Ludger
PY - 2011/11
Y1 - 2011/11
N2 - Use of evolution strategies and artificial neural networks for positioning and configuration of heating/cooling Channels. The quality of molded products and production cycle times are influenced by mold temperature control systems. Today experienced technical designers are developing form-fitting temperature control systems manually. Afterwards they analyzes the systems in iterative and experimental simulations. Here, a method for automatic design of mold temperature control systems is presented. The method uses nature-inspired algorithms, which improve the economical benefit of the construction process and the injection molding process.
AB - Use of evolution strategies and artificial neural networks for positioning and configuration of heating/cooling Channels. The quality of molded products and production cycle times are influenced by mold temperature control systems. Today experienced technical designers are developing form-fitting temperature control systems manually. Afterwards they analyzes the systems in iterative and experimental simulations. Here, a method for automatic design of mold temperature control systems is presented. The method uses nature-inspired algorithms, which improve the economical benefit of the construction process and the injection molding process.
UR - http://www.scopus.com/inward/record.url?scp=83455250662&partnerID=8YFLogxK
U2 - 10.3139/104.110653
DO - 10.3139/104.110653
M3 - Artikel
AN - SCOPUS:83455250662
VL - 106
SP - 867
EP - 872
JO - ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb
JF - ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb
SN - 0947-0085
IS - 11
ER -