2013•Journal of Central South University(Science and Technology)Requires access

Rolling force prediction of cold strip rolling based on FEM-ANN

Xue Ta

Open publisher page 1 citations

Abstract

A prediction model of the rolling force for cold rolling mill based on FEM(finite element method) and ANN(artificial neural network) was put forward to improve the prediction precision of the rolling force for cold rolling mill.The cold strip rolling was simulated with elastic-plastic finite element method. From the simulation results, the influence of friction coefficient, reduction, forward tension, backward tension, deformation resistance on the rolling force was identified. With the numerical simulation results, a BP artificial neural network prediction model for cold strip rolling was set up. The results show that prediction results are in accordance with the simulation results.

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What this paper is about

A prediction model of the rolling force for cold rolling mill based on FEM(finite element method) and ANN(artificial neural network) was put forward to improve the prediction precision of the rolling force for cold rolling mill.The cold strip rolling was simulated with elastic-plastic finite element method. From the simulation results, the influence of friction coefficient, reduction, forward tension, backward tension, deformation resistance on the rolling force was identified. With the numerical simulation results, a BP artificial neural network prediction model for cold strip rolling was set up. The results show that prediction results are in accordance with the simulation results.

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Available abstract

A prediction model of the rolling force for cold rolling mill based on FEM(finite element method) and ANN(artificial neural network) was put forward to improve the prediction precision of the rolling force for cold rolling mill.The cold strip rolling was simulated with elastic-plastic finite element method. From the simulation results, the influence of friction coefficient, reduction, forward tension, backward tension, deformation resistance on the rolling force was identified. With the numerical simulation results, a BP artificial neural network prediction model for cold strip rolling was set up. The results show that prediction results are in accordance with the simulation results.

Key concepts: Finite element method, Artificial neural network, Rolling resistance, Rolling mill, Tension (geology), Deformation (meteorology), Mill, Structural engineering

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