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Multi-objective optimal edge-drop control in tandem cold rolling of silicon steel strip

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Abstract

In cold rolling of silicon steel strip, edge drop directly affects the side cutting and yield of silicon steel. To improve the edge drop of silicon steel in the cold rolling process, a multi-stand coordinated control strategy and model based on multi-objective optimization are proposed. The first step is to analyze the influence of each control stand work roll shifting (WRS) on edge drop through the finite element model (FEM), then determine the edge drop control effectiveness of each work roll shifting actuator. Meanwhile, a fitting model is proposed to solve the limitation caused by the discrete change of efficiency factors in solving the optimal adjustments of each WRS. On this basis, the target model for silicon steel edge drop control is formulated, and the optimal adjustment model of WRS of each stand is established. To realize the optimal coordinated control among the rolling mill stands, a multi-objective optimal model of edge drop control has been established by the overall modeling method. The improved penalty function algorithm is developed to calculate the optimal adjustment of WRS for each stand. The experiments and application show that the proposed multi-objective optimal control strategy and model can effectively improve the accuracy of edge drop control in silicon steel continuous cold rolling.

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Funding

This project was supported by National Natural Science Foundation of China (grant no. 52074242, grant no. U20A20187), Natural Science Foundation of Hebei Province (grant no. E2020203068), the Open Project of State Key Laboratory of Rolling and Automation (grant no. 2022RALKFKT001), and Liao Ning Revitalization Talents Program of Liao Ning Province (no. XLYC2007087). Moreover, the authors are very grateful to Dr. Sun Jie from Northeastern University for providing suggestions.

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Authors and Affiliations

  1. National Engineering Research Center for Equipment and Technology of Cold Strip Rolling, Yanshan University, No. 438, Heibei Street (West), Qinhuangdao, 066004, Heibei Prov, People’s Republic of China

    Pengfei Wang, Jiannan Li & Huagui Huang

  2. The State Key Laboratory of Rolling and Automation, Northeastern University, No. 8, 3 Lane, Wenhua Rd, Heping District, Shenyang, 110004, Liaoning Prov, People’s Republic of China

    Xu Li

  3. Economic and Technological Development Zone, MCC Capital Engineering & Research Incorporation Limited, 7 Jian’an Street, Beijing, 100176, People’s Republic of China

    Shuwei Duan

  4. SWKD Thin Plate Technology Co., Ltd, Dawouli Village, Dawouli Township, Qian’an, 064400, People’s Republic of China

    Dewei Wang

Authors
  1. Pengfei Wang
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  2. Jiannan Li
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  3. Xu Li
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  4. Shuwei Duan
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  5. Huagui Huang
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  6. Dewei Wang
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Contributions

Pengfei Wang provided a literature review of metal rolling.

Jiannan Li carried out the process of data calculation.

Huagui Huang conducted the design of the experiment.

Shuwei Duan and Dewei Wang conducted experimental operation and data collation.

Corresponding authors

Correspondence to Pengfei Wang or Xu Li.

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Ethical approval was not involved in this study.

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All the authors agree to participate.

Consent for publication

All the authors agree to publish.

Employment

Pengfei Wang is an associate professor of Yanshan University.

Huagui Huang is a professor of Yanshan University.

Xu Li is a professor of Northeastern University.

Dewei Wang is an engineer of SWKD Thin Plate Technology Co., Ltd.

Shuwei Duan is an engineer of MCC Captial Engineering & Research Incorporation.

Competing interests

Pengfei Wang has received research support from National Natural Science Foundation of China and Natural Science Foundation of Hebei Province and Open Foundation of The State Key Laboratory of Rolling and Automation.

Huagui Huang has received research support from Key Research and Development Project of Hebei Province.

Xu Li has received research support from National Key R&D Program of China and Fundamental Research Funds for the Central Universities.

Non-financial interests

None.

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Wang, P., Li, J., Li, X. et al. Multi-objective optimal edge-drop control in tandem cold rolling of silicon steel strip. Int J Adv Manuf Technol 125, 5385–5395 (2023). https://doi.org/10.1007/s00170-023-10937-w

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  • DOI: https://doi.org/10.1007/s00170-023-10937-w

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