Details
Translated title of the contribution | Automatic design of mold temperature control systems by means of nature-inspired algorithms |
---|---|
Original language | German |
Pages (from-to) | 867-872 |
Number of pages | 6 |
Journal | Zeitschrift für wirtschaftlichen Fabrikbetrieb (ZWF) (online) |
Volume | 106 |
Issue number | 11 |
Publication status | Published - 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 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: Zeitschrift für wirtschaftlichen Fabrikbetrieb (ZWF) (online), Vol. 106, No. 11, 11.2011, p. 867-872.
Research output: Contribution to journal › Article › Research › 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 - Zeitschrift für wirtschaftlichen Fabrikbetrieb (ZWF) (online)
JF - Zeitschrift für wirtschaftlichen Fabrikbetrieb (ZWF) (online)
SN - 0947-0085
IS - 11
ER -