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- W2393037512 abstract "A prediction model of the rolling force for tandem cold rolling mill based on neural networks and mathematical models was put forward to improve the pre-calculation precision of the rolling force for tandem cold rolling mill.The neural networks correction method combining the local map with radial based function(RBF) networks and the global map with linear transform was applied to calculate the deformation resistance of the strip and the friction coefficient in the rolling deforming region.And the distributions of the tension and the friction force and the deformation resistance of the strip along the rolling direction were discussed by the discretization of the rolling deformation region.Then the online calculation model of the rolling force for tandem cold rolling mill was set up.Contrasting the measuring data with the simulation result,the prediction error can be limited within 8.9%,and the practical production can be instructed by using the prediction model of the rolling force for tandem cold rolling mill based on neural networks." @default.
- W2393037512 created "2016-06-24" @default.
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- W2393037512 date "2006-01-01" @default.
- W2393037512 modified "2023-09-25" @default.
- W2393037512 title "Prediction model of rolling force for tandem cold rolling mill based on neural networks and mathematical models" @default.
- W2393037512 hasPublicationYear "2006" @default.
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