Abstract
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.
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Gaspar-Cunha, A., Gonçalves, L., Covas, J. (2006). Application of Evolutionary Algorithms to the Design of Barrier Screws for Single Screw Extruders. In: Abraham, A., de Baets, B., Köppen, M., Nickolay, B. (eds) Applied Soft Computing Technologies: The Challenge of Complexity. Advances in Soft Computing, vol 34. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31662-0_58
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DOI: https://doi.org/10.1007/3-540-31662-0_58
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