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      Optimization of Injection Stretch Blow Molding: Part I – Defining Part Thickness Profile

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          Abstract

          This paper suggests a methodology based on a neuroevolutionary approach to optimize the use of material in blow molding applications. This approach aims at determining the optimal thickness distribution for a certain blow molded product as a function of its geometry. Multiobjective search is performed by neuroevolution to reflect the conflicting nature of the design problem and to capture some possible trade-offs. During the search, each design alternative is evaluated through a finite element analysis. The coordinates of the mesh elements are the inputs to an artificial neural network whose output determines the thickness for the corresponding location. The proposed approach is applied to the design of an industrial bottle. The results reveal the validity and usefulness of the proposed technique, which was able to distribute the material along the most critical regions to obtain adequate mechanical properties. The approach is general and can be applied to products with different geometries.

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          Most cited references 14

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          SMS-EMOA: Multiobjective selection based on dominated hypervolume

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            Multiobjective optimization using evolutionary algorithms — A comparative case study

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              Differential evolution C a simple and Efficient heuristic for global optimization over continuous spaces

               Storn,  R. STORN,  K. Price (1997)
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                Author and article information

                Journal
                ipp
                International Polymer Processing
                Carl Hanser Verlag
                0930-777X
                2195-8602
                3 July 2019
                : 34
                : 3
                : 314-323
                Affiliations
                1 IPC, Institute for Polymer and Composites, University of Minho, Guimarães, Portugal
                2 PIEP, Innovation in Polymer Engineering, University of Minho, Guimarães, Portugal
                Author notes
                [* ] Correspondence address, Mail address: Renê de Souza Pinto, Institute for Polymer and Composites, University of Minho, 4804-533 Guimarães, Braga, Portugal, E-mail: rene@ 123456renesp.com.br
                Article
                IPP3746
                10.3139/217.3746
                © 2019, Carl Hanser Verlag, Munich
                Page count
                References: 17, Pages: 10
                Product
                Self URI (journal page): http://www.hanser-elibrary.com/loi/ipp
                Categories
                Regular Contributed Articles

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