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Accurate prediction algorithm of rolling force in slab gradient temperature rolling process

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Abstract

The temperature gradient rolling (GTR) method effectively addresses the issue of uneven deformation of surface and core in the rolling of extra-thick plate. Different from the traditional near uniform temperature rolling (UTR) process, GTR involves a significant temperature gradient along the thickness direction of the rolled piece. As a result, the rolling force prediction model used in uniform temperature rolling cannot be directly applied in GTR. Rolling force prediction model is crucial for process control models of plate mill and serves as the foundation for plate thickness control. However, there has been limited research on rolling force prediction methods specifically for GTR. In order to predict the change of rolling force in GTR process and enhance the control of the rolling process, the current paper proposed a simplified method based on the deformation resistance model, temperature distribution fitting, differential method, and loop iteration. The precision of the method was examined by using a finite element model and plane strain experiment, demonstrating a mean error between the method and FEM was less than 5%.

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The models used in the current study can be provided from the appropriate authors according to reasonable requirements.

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Acknowledgements

Thanks are extended to the guidance of Master Li Goldman and the teachers of the laboratory of the Institute of Engineering and Technology, University of Science and Technology Bei**g.

Funding

This work was financially supported by the National 13th Five-Year Key R&D Plan (project number: 2017YFB0304602).

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Authors and Affiliations

  1. Institute of Engineering Technology, University of Science and Technology Bei**g, Bei**g, 100083, China

    Wei Yu

  2. National Engineering Research Center for Advanced Rolling and Intelligent Manufacturing, University of Science and Technology Bei**g, Bei**g, 100083, China

    Yu Zhang, Wei Yu, Zhicheng Cheng & Qingwu Cai

Authors
  1. Yu Zhang
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  2. Wei Yu
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  3. Zhicheng Cheng
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  4. Qingwu Cai
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Contributions

Zhang Yu: data analysis and writing

Yu Wei: formal analysis

Cheng Zhicheng: visualization

Cai Qingwu: validation

Corresponding author

Correspondence to Wei Yu.

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Zhang, Y., Yu, W., Cheng, Z. et al. Accurate prediction algorithm of rolling force in slab gradient temperature rolling process. Int J Adv Manuf Technol 129, 671–679 (2023). https://doi.org/10.1007/s00170-023-12236-w

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