This paper develops a hybrid approach, based on genetic algorithms and simplex method, to optimize the accuracy of a manufacturing process by material pultrusion. The numerical model, proposed in a recent paper of the same authors, is solved by a finite difference scheme. The analysis technically shows the efficiency of the optimization algorithm.
Pultrusion Manufacturing Process Development: Cure Optimization by Hybrid Computational Methods
CARLONE, PIERPAOLO;PALAZZO, Gaetano Salvatore;PASQUINO, Raimondo
2007
Abstract
This paper develops a hybrid approach, based on genetic algorithms and simplex method, to optimize the accuracy of a manufacturing process by material pultrusion. The numerical model, proposed in a recent paper of the same authors, is solved by a finite difference scheme. The analysis technically shows the efficiency of the optimization algorithm.File in questo prodotto:
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