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Multi-objective optimization of bending force preset in cold rolling

He-Nan Bu (Jiangsu University of Science and Technology, Zhenjiang, China)
Hong-Gen Zhou (Jiangsu University of Science and Technology, Zhenjiang, China)
Zhu-Wen Yan (Nanjing Institute of Technology, Nanjing, China)
Dian-Hua Zhang (State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang, China)

Engineering Computations

ISSN: 0264-4401

Article publication date: 8 July 2019

Abstract

Purpose

In the process of cold rolled strip, there is tight coupling between flatness control and gauge control. The variation of the roll gap caused by the change of bending force will lead to the change of rolling force. Furthermore, it can cause a deep impact on the control accuracy of strip exit thickness and exit crown. The purpose of this paper is to improve the accuracy of the bending force preset value for cold rolled strip.

Design/methodology/approach

In this paper, the bending force preset control strategy with considering of rolling force was proposed for the first time and the preset objective function of bending force was established on the basis of the two-objective optimization of bending force and rolling force. Meanwhile, the multi-objective intelligent algorithm – INSGA-II – was used to solve the objective function.

Findings

The proposed bending force multi-objective preset model has been tested in a 1,450 mm tandem cold rolling line. The analyzed results of field data show that the deviations of strip exit thickness and exit crown are reduced effectively by using the improved model, and at the same time, more reasonable bending force preset values are obtained, which can enhance the accuracy of flatness preset control.

Originality/value

A preset model of bending force with considering flatness and gauge is proposed in this paper and the multi-objective function of bending force preset is established on the basis of the two-objective optimization of bending force and rolling force. The value lies in proposing a new decoupling method of rolling force and bending force.

Keywords

Acknowledgements

This study is financially supported by the National Natural Science Foundation of China (No.: 51804133) and the Jiangsu Natural Science Foundation (No.: BK20180977, BK20181024).

Citation

Bu, H.-N., Zhou, H.-G., Yan, Z.-W. and Zhang, D.-H. (2019), "Multi-objective optimization of bending force preset in cold rolling", Engineering Computations, Vol. 36 No. 6, pp. 2048-2065. https://doi.org/10.1108/EC-12-2018-0594

Publisher

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Emerald Publishing Limited

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