Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/18841

TitleUse of multi-objective evolutionary algorithms in extrusion scale-up
Author(s)Covas, J. A.
Gaspar-Cunha, A.
KeywordsMulti-objective evolutionary algorithms
Extrusion
Scale-up
Issue date2009
PublisherSpringer
JournalAdvances in Soft Computing
Abstract(s)Extrusion scale-up consists in ensuring identical thermo-mechanical environments in machines of different dimensions, but processing the same material. Given a reference extruder with a certain geometry and operating point, the aim is to define the geometry and operating conditions of a target extruder (of a different magnitude), in order to subject the material being processed to the same flow and heat transfer conditions, thus yielding products with the same characteristics. Scale-up is widely used in industry and academia, for example to extrapolate the results obtained from studies performed in laboratorial machines to the production plant. Since existing scale-up rules are very crude, as they consider a single performance measure and produce unsatisfactory results, this work approaches scale-up as a multi-criteria optimization problem, which seeks to define the geometry/operating conditions of the target extruder that minimize the differences between the values of the criteria for the reference and target extruders. Some case studies are discussed in order to validate the concept.
TypeConference paper
URIhttps://hdl.handle.net/1822/18841
ISBN978-3-540-29123-7
DOI10.1007/978-3-540-88079-0_9
ISSN1615-3871
Peer-Reviewedyes
AccessOpen access
Appears in Collections:IPC - Resumos alargados em actas de encontros científicos internacionais com arbitragem


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