Upon manufacturing plastics parts by extrusion or injection, polymers are plasticised in single screw units. The mechanisms involved in this process are complex and material, geometry and operation dependent. Usually, the setting of the extruder operating conditions or the establishment of the adequate screw geometry is based on trial-and-error. A more efficient method consists in determining the operating conditions or screw geometry that produces the desired performance, i.e. to solve the inverse problem. In this work a multi-objective optimization methodology based on genetic algorithms is proposed and used to perform an automatic optimization of the single screw polymer extrusion process. For that purpose a modelling package capable of considering the relevant thermo-mechanical phenomena occurring inside the extruder was developed and linked to the referred optimization methodology. The computational and experimental results obtained in real optimization problems validated the methodology proposed. This text can be used either by the researchers interested in the extrusion process or by the researchers only in using multi-objective optimization.
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Received the PhD degree from the University of Minho, Portugal, in 2000. He is an Assistant Professor at the University of Minho. The main areas of scientific activity are modeling of polymer extrusion processes and multi-objective Multidisciplinary Design and optimization systems (http://www.dep.uminho.pt/agc/).
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Upon manufacturing plastics parts by extrusion or injection, polymers are plasticised in single screw units. The mechanisms involved in this process are complex and material, geometry and operation dependent. Usually, the setting of the extruder operating conditions or the establishment of the adequate screw geometry is based on trial-and-error. A more efficient method consists in determining the operating conditions or screw geometry that produces the desired performance, i.e. to solve the inverse problem. In this work a multi-objective optimization methodology based on genetic algorithms is proposed and used to perform an automatic optimization of the single screw polymer extrusion process. For that purpose a modelling package capable of considering the relevant thermo-mechanical phenomena occurring inside the extruder was developed and linked to the referred optimization methodology. The computational and experimental results obtained in real optimization problems validated the methodology proposed. This text can be used either by the researchers interested in the extrusion process or by the researchers only in using multi-objective optimization. 256 pp. Englisch. Codice articolo 9783838324128
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Da: moluna, Greven, Germania
Condizione: New. Codice articolo 5413063
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Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. Modelling and Optimisation of Single Screw Extrusion | Using Multi-Objective Evolutionary Algorithms | António Gaspar-Cunha | Taschenbuch | 256 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838324128 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 101429806
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Upon manufacturing plastics parts by extrusion or injection, polymers are plasticised in single screw units. The mechanisms involved in this process are complex and material, geometry and operation dependent. Usually, the setting of the extruder operating conditions or the establishment of the adequate screw geometry is based on trial-and-error. A more efficient method consists in determining the operating conditions or screw geometry that produces the desired performance, i.e. to solve the inverse problem. In this work a multi-objective optimization methodology based on genetic algorithms is proposed and used to perform an automatic optimization of the single screw polymer extrusion process. For that purpose a modelling package capable of considering the relevant thermo-mechanical phenomena occurring inside the extruder was developed and linked to the referred optimization methodology. The computational and experimental results obtained in real optimization problems validated the methodology proposed. This text can be used either by the researchers interested in the extrusion process or by the researchers only in using multi-objective optimization.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 256 pp. Englisch. Codice articolo 9783838324128
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Upon manufacturing plastics parts by extrusion or injection, polymers are plasticised in single screw units. The mechanisms involved in this process are complex and material, geometry and operation dependent. Usually, the setting of the extruder operating conditions or the establishment of the adequate screw geometry is based on trial-and-error. A more efficient method consists in determining the operating conditions or screw geometry that produces the desired performance, i.e. to solve the inverse problem. In this work a multi-objective optimization methodology based on genetic algorithms is proposed and used to perform an automatic optimization of the single screw polymer extrusion process. For that purpose a modelling package capable of considering the relevant thermo-mechanical phenomena occurring inside the extruder was developed and linked to the referred optimization methodology. The computational and experimental results obtained in real optimization problems validated the methodology proposed. This text can be used either by the researchers interested in the extrusion process or by the researchers only in using multi-objective optimization. Codice articolo 9783838324128
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Da: Revaluation Books, Exeter, Regno Unito
Paperback. Condizione: Brand New. 256 pages. 8.66x5.91x0.58 inches. In Stock. Codice articolo 3838324129
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