PREDICATION OF ROLL FORCE AND ROLL TORQUE IN HOT STRIP ROLLING PROCESS USING ARTIFICIAL NEURAL NETWORKS AND FINITE ELEMENT METHOD

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REZAEI ASHTIANI H.

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Journal: JOURNAL OF SOLID AND FLUID MECHANICS Year:2016 | Volume:6 | Issue:3 Page(s): 149-162

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Title

PREDICATION OF ROLL FORCE AND ROLL TORQUE IN HOT STRIP ROLLING PROCESS USING ARTIFICIAL NEURAL NETWORKS AND FINITE ELEMENT METHOD

Author(s)

REZAEI ASHTIANI H. | Issue Writer Certificate

Keywords

HOT ROLLINGQ1

ROLL FORCEQ2

ROLL TORQUEQ1

FINITE ELEMENT METHODQ2

ARTIFICIAL NEURAL NETWORKQ2

Abstract

This paper introduces an ARTIFICIAL NEURAL NETWORK (ANN) application to a hot strip mill to improve the model’s prediction ability for rolling force and rolling torque, as a function of various process parameters. To obtain a data basis for training and validation of the neural network, numerous three dimensional finite element simulations were carried out for different sets of process variables. Experimental data were compared with the finite element predictions to verify the model accuracy. Thus the ABAQUS and MATLAB soft wares are used to simulate the FINITE ELEMENT METHOD and an ARTIFICIAL NEURAL NETWORK, respectively. The back-propagation algorithm and Levenberg-Marquardt Training function were used in the ARTIFICIAL NEURAL NETWORK. The input variables are selected to be, initial temperature of the strip, interface heat-transfer coefficient between strip and work roll, percentage of thickness reduction, initial thickness and rolling speed. The resulted ANN model is feasible for on-line control and rolling schedule optimization and can be easily and rapidly predicted the ROLL FORCE and ROLL TORQUE.

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APA: Copy

REZAEI ASHTIANI, H.. (2016). PREDICATION OF ROLL FORCE AND ROLL TORQUE IN HOT STRIP ROLLING PROCESS USING ARTIFICIAL NEURAL NETWORKS AND FINITE ELEMENT METHOD. JOURNAL OF SOLID AND FLUID MECHANICS, 6(3), 149-162. SID. https://sid.ir/paper/212824/en

Vancouver: Copy

REZAEI ASHTIANI H.. PREDICATION OF ROLL FORCE AND ROLL TORQUE IN HOT STRIP ROLLING PROCESS USING ARTIFICIAL NEURAL NETWORKS AND FINITE ELEMENT METHOD. JOURNAL OF SOLID AND FLUID MECHANICS[Internet]. 2016;6(3):149-162. Available from: https://sid.ir/paper/212824/en

IEEE: Copy

H. REZAEI ASHTIANI, “PREDICATION OF ROLL FORCE AND ROLL TORQUE IN HOT STRIP ROLLING PROCESS USING ARTIFICIAL NEURAL NETWORKS AND FINITE ELEMENT METHOD,” JOURNAL OF SOLID AND FLUID MECHANICS, vol. 6, no. 3, pp. 149–162, 2016, [Online]. Available: https://sid.ir/paper/212824/en

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