Aplicação de redes neurais no processo de filament winding

AUTOR(ES)
DATA DE PUBLICAÇÃO

2002

RESUMO

Polymer composites or reinforced plastics are materials made with a polymer matrix and a reinforcement. Nowadays polymer composite market is one of the most promising, because of the many advantages of these materials such as weight saving, corrosion and temperature resistance and manufacturing cost reduction, when compared to conventional engineering materials. Brazil is the leader of polymer composite market in South America, which has shown the largest growth of this segment in the world since 1993. Among manufacturing methods for thermoset polymer matrix composites (that represent about 3/4 of the polymer composites) and continuous fiber reinforcement is the filament winding, often used for manufacture of closed-surface structures such as pipes, cylinders and tanks. One of the constraints in the great commercial exploitation of the composite manufacturing methods, including filament winding, is the difficulty to relate the many process parameters with product quality and process efficiency. In this work, artificial neural networks were applied in the filament winding process in two cases: (a) prediction of properties that describe final product quality (mechanical and thermal strength of parts) using as training set industrial tests of experimental characterization and (b) prediction of thermal behavior of composites during cure step, being the networks trained with data obtained using Lee-Springer mode!. Computer programs have been developed with backpropagation and delta-bar -delta algorithms and the influence of each input variable in the network outputs has been determinated using Garson Equation. Results obtained have shown network learning efficacy in alI studied cases. Application of neural networks in the filament winding process can give a better understanding of the process, reducing product development time and cost

ASSUNTO(S)

simulação (computadores) plastico reforçado redes neurais (computação) compositos polimericos

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