Pultrusion manufacturing process development: Cure optimization by hybrid computational methods

Authors:
P. Carlone;G. S. Palazzo;R. Pasquino
Affiliations:
Department of Mechanical Engineering, University of Salerno, Via Ponte Don Melillo 1, 84084, Fisciano (SA), Italy;Department of Mechanical Engineering, University of Salerno, Via Ponte Don Melillo 1, 84084, Fisciano (SA), Italy;Department of Mechanical Engineering, University of Salerno, Via Ponte Don Melillo 1, 84084, Fisciano (SA), Italy
Venue:
Computers & Mathematics with Applications
Year:
2007

Citing 2
Cited 2

Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
Pultrusion manufacturing process development by computational modelling and methods

Mathematical and Computer Modelling: An International Journal

Inverse analysis of the laser forming process by computational modelling and methods

Computers & Mathematics with Applications
Finite element analysis of the steel quenching process: Temperature field and solid-solid phase change

Computers & Mathematics with Applications

Quantified Score

Hi-index	0.09

Visualization

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.