Artículos de revistas
Development Of Ducts By Filament Winding: A Study Through The Neural Networks [desenvolvimento De Dutos Por Filament Winding: Um Estudo Através De Redes Neurais]
Registro en:
Boletim Tecnico Da Petrobras. , v. 47, n. 1, p. 15 - 38, 2004.
16772598
2-s2.0-18744410130
Autor
Contant S.
Lona L.M.F.
Calado V.M.A.
Institución
Resumen
Currently, the sector of polymeric composites is one of the most promising ones, due to the many advantages of these materials. Among the methods of manufacture, one that is very important is filament winding, which allows for the production of parts that are commonly employed in the oil industry, such as ducts, tanks, and risers. One of the major restrictions related to a larger scale exploration of these methods, including the filament winding, is the difficulty in relating the several process parameters necessary for their manufacture, with the quality of the final product and the efficiency of the production. Neural networks were applied to the process of filament winding in two cases: estimation of the properties that describe the quality of the final product from industrial assays for experimental characterization and forecast of the thermal behavior of ducts during the curing stage, from the data generated by the Lee-Springer model. Computational programs were developed for the training of the networks, and the effect of each input variable was determined. The application of neural networks in the modeling of the process of filament winding may lead to a better comprehension of the process, to a reduction in the time needed for the development of products, and in the cost of the ducts. 47 1 15 38 (2000) Revista do Plástico Reforçado, (16), p. 12. , novembro/dezembro Gibson, A.G., (2000) Comprehensive Composite Materials: Design and Applications. 1.Ed., 6, pp. 459-478. , Inglaterra: Elsevier. 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