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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Application of Evolutionary Algorithms to the Design of Barrier Screws for Single Screw Extruders
verfasst von : A. Gaspar-Cunha, L. Gonçalves, J.A. Covas
Erschienen in: Applied Soft Computing Technologies: The Challenge of Complexity
Verlag: Springer Berlin Heidelberg
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An optimization approach based on Multi-Objective Evolutionary Algorithms (MOEA) - the Reduced Pareto Set Genetic Algorithm with Elitism (RPSGAe)-is used to design barrier screws for single screw extruders. A numerical modeling routine able to describe the thermo-mechanical experience suffered by the polymer inside the extruder is developed. A specific screw design methodology is proposed and used to optimize conventional and barrier screws. In this methodology, the fittest screw geometry is chosen after performing a sensitivity study of a set of “best” screws to limited changes in operating conditions.