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Computers & Mathematics with Applications
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Pultrusion manufacturing process development: Cure optimization by hybrid computational methods

Authors: CARLONE, PIERPAOLO; PALAZZO, Gaetano Salvatore; PASQUINO, Raimondo;

Pultrusion manufacturing process development: Cure optimization by hybrid computational methods

Abstract

AbstractThis 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.

Country
Italy
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Keywords

Cure optimization, Finite element method, Computational Mathematics, Computational Theory and Mathematics, Modelling and Simulation, Pultrusion, Cure optimization; Finite difference method; Finite element method; Genetic algorithms; Simplex method; Pultrusion, Genetic algorithms, Simplex method, Finite difference method

  • BIP!
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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    42
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
42
Top 10%
Top 10%
Top 10%
hybrid