Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/78386

TitleOptimization of polymer processing: a review (Part II - Molding technologies)
Author(s)Gaspar-Cunha, A.
Covas, J. A.
Sikora, Janusz
KeywordsPolymer processing
Single screw
Twin screw
Injection molding
Blow molding
Thermoforming
Optimization
Artificial intelligence
Issue date1-Feb-2022
PublisherMultidisciplinary Digital Publishing Institute (MDPI)
JournalMaterials
CitationGaspar-Cunha, A.; Covas, J.A.; Sikora, J. Optimization of Polymer Processing: A Review (Part II-Molding Technologies). Materials 2022, 15, 1138. https://doi.org/10.3390/ma15031138
Abstract(s)The application of optimization techniques to improve the performance of polymer processing technologies is of great practical consequence, since it may result in significant savings of materials and energy resources, assist recycling schemes and generate products with better properties. The present review aims at identifying and discussing the most important characteristics of polymer processing optimization problems in terms of the nature of the objective function, optimization algorithm, and process modelling approach that is used to evaluate the solutions and the parameters to optimize. Taking into account the research efforts developed so far, it is shown that several optimization methodologies can be applied to polymer processing with good results, without demanding important computational requirements. Furthermore, within the field of artificial intelligence, several approaches can reach significant success. The first part of this review demonstrated the advantages of the optimization approach in polymer processing, discussed some concepts on multi-objective optimization and reported the application of optimization methodologies to single and twin screw extruders, extrusion dies and calibrators. This second part focuses on injection molding, blow molding and thermoforming technologies.
TypeArticle
URIhttps://hdl.handle.net/1822/78386
DOI10.3390/ma15031138
ISSN1996-1944
Publisher versionhttps://www.mdpi.com/1996-1944/15/3/1138
Peer-Reviewedyes
AccessOpen access
Appears in Collections:IPC - Artigos em revistas científicas internacionais com arbitragem

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