Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/18955

TitleUsing multi-objective evolutionary algorithms in the optimization of polymer injection molding
Author(s)Fernandes, Célio Bruno Pinto
Pontes, A. J.
Viana, J. C.
Gaspar-Cunha, A.
Issue date2009
PublisherSpringer
JournalAdvances in Intelligent and Soft Computing
Abstract(s)A Multi-objective optimization methodology has been applied in the optimization of polymer injection molding process. This allowed the optimization of the operating conditions of the process from mold flow simulations, taking into consideration the existence of 5 criteria simultaneously, such as temperature dif-ference on the molding at the end of filling, the maximum pressure, the pressure work, the volumetric shrinkage and the cycle time. The results produced shown that the proposed methodology is an efficient tool to be used in the optimization of this process.
TypeConference paper
URIhttps://hdl.handle.net/1822/18955
ISBN9783540896180
ISSN1867-5662
Peer-Reviewedyes
AccessOpen access
Appears in Collections:IPC - Resumos alargados em actas de encontros científicos internacionais com arbitragem


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