[article]
| Titre : |
Neural network approach to density control of rigid PVC foam in extrusion process |
| Type de document : |
texte imprimé |
| Auteurs : |
N. H. Abu-Zahra, Auteur |
| Année de publication : |
2003 |
| Article en page(s) : |
p. 122-126 |
| Note générale : |
Bibliogr. |
| Langues : |
Anglais (eng) |
| Index. décimale : |
668.9 Polymères |
| Résumé : |
In rigid PVC foam extrusion, foam density is very crucial in determining the mechanical characteristics of the extruded material and the profitability of the manufacturing process. This paper presents a new application of artificial neural computing in the control of PVC foam density in profile extrusion process. A 3-layer multi-layer perceptron (MLP) artificial neural network was developed to estimate the foam density (weight) based on the known processing conditions; mainly heating zones temperatures and screw speed. The network was developed and tested on a specific formula that is used in wood-like products. A two factorial design of experiment was carried out to determine the significant process variables before training the neural networks using a back propagation algorithm. Finally, a comparison between the true weights, and the estimated weights using artificial neural networks is presented. |
| DOI : |
10.3139/217.1740 |
| En ligne : |
https://drive.google.com/file/d/1mke3PYQn9Y_3hDYzUtk9RPDV8HAYsWWi/view?usp=drive [...] |
| Format de la ressource électronique : |
Pdf |
| Permalink : |
https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=3301 |
in INTERNATIONAL POLYMER PROCESSING > Vol. XVIII, N° 2 (06/2003) . - p. 122-126
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Neural network approach to density control of rigid PVC foam in extrusion process in INTERNATIONAL POLYMER PROCESSING, Vol. XVIII, N° 2 (06/2003)
