2013•Journal of Northeastern UniversityRequires access

Parameters Adaptation of the Rolling Force Model Based on the Objective Function in Tandem Cold Rolling

Dianhua Zhang

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Abstract

In order to improve the prediction precision of the rolling force model,a method for optimizing parameters of the rolling force model based on the objective function was put forward.Through establishing the model of rolling force parameter adaptive target function,the adaption coefficients of the deformation resistance and friction coefficient models were taken as the parameters to be optimized,and the Nelder-Mead simplex algorithm was used to search the optimal solution of the objective function so that the adaptation coefficients were obtained which fulfilled the accuracy of the rolling force.The proposed parameter adaptation method of the rolling force modeling was applied to a 1 700 mm 5-stand tandem cold mill.Application results showed that the mean square deviation between the calculated rolling force and measured one was reduced from 12.9% to 3.2% after using the proposed parameter adaptation method,which showed that the method proposed obviously improved the accuracy of the rolling force model and met the requirement of online process control.

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What this paper is about

In order to improve the prediction precision of the rolling force model,a method for optimizing parameters of the rolling force model based on the objective function was put forward.Through establishing the model of rolling force parameter adaptive target function,the adaption coefficients of the deformation resistance and friction coefficient models were taken as the parameters to be optimized,and the Nelder-Mead simplex algorithm was used to search the optimal solution of the objective function so that the adaptation coefficients were obtained which fulfilled the accuracy of the rolling force.The proposed parameter adaptation method of the rolling force modeling was applied to a 1 700 mm 5-stand tandem cold mill.Application results showed that the mean square deviation between the calculated rolling force and measured one was reduced from 12.9% to 3.2% after using the proposed parameter adaptation method,which showed that the method proposed obviously improved the accuracy of the rolling force model and met the requirement of online process control.

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Available abstract

In order to improve the prediction precision of the rolling force model,a method for optimizing parameters of the rolling force model based on the objective function was put forward.Through establishing the model of rolling force parameter adaptive target function,the adaption coefficients of the deformation resistance and friction coefficient models were taken as the parameters to be optimized,and the Nelder-Mead simplex algorithm was used to search the optimal solution of the objective function so that the adaptation coefficients were obtained which fulfilled the accuracy of the rolling force.The proposed parameter adaptation method of the rolling force modeling was applied to a 1 700 mm 5-stand tandem cold mill.Application results showed that the mean square deviation between the calculated rolling force and measured one was reduced from 12.9% to 3.2% after using the proposed parameter adaptation method,which showed that the method proposed obviously improved the accuracy of the rolling force model and met the requirement of online process control.

Key concepts: Simplex algorithm, Rolling resistance, Tandem, Control theory (sociology), Function (biology), Deformation (meteorology), Standard deviation, Computer science

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