The application of neural networks to predict the free surface in hot shape rolling process is illustrated in this paper. A round-oval pass has been analyzed because of the opportunity to compare the network performances with empirical models available in bibliography. The aim of this research is the development of a more general model by integrating artificial intelligence and FE techniques in a hybrid experimental-FEM neural network. The performances of different NNs configurations were severely tested to provide a comparison among the networks.

Hybrid neural network model for the evaluation of the free surface of rolled bar

LAMBIASE, FRANCESCO;
2006-01-01

Abstract

The application of neural networks to predict the free surface in hot shape rolling process is illustrated in this paper. A round-oval pass has been analyzed because of the opportunity to compare the network performances with empirical models available in bibliography. The aim of this research is the development of a more general model by integrating artificial intelligence and FE techniques in a hybrid experimental-FEM neural network. The performances of different NNs configurations were severely tested to provide a comparison among the networks.
88-95028-01-5
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/35360
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