Abstract
Hot rolled zirconium alloy strip has a feature of multi-schedule and multi-pass, which undergoes the complex working condition of repeatedly manual experiences. Rolling schedule is a key technology that directly influences strip product quality, which is affected by many factors such as mechanical properties, temperature, strain rate, and capacity of mill. The multi-objective optimization model for hot rolling schedule of zirconium alloy strip is presented by the improve particle swarm optimization algorithm (IPSO), rolling force ratio distribution, and good strip shape as the objective functions. Meanwhile, based on the penalty function method transforming the constraint problem into the unconstrained problem, we used on-line applications for optimized rolling schedule and the comparison provides an effective path as a reference of practical control technology.
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The datasets used or analyzed during the current study are available from the corresponding author on reasonable request.
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Funding
This study was funded by National Science and Technology Major Project of China (2019ZX06002001-004), the Innovation Method Fund of China (2016IM010300), and the Fundamental Research Funds for the Central Universities (FRF-GF-18-010B).
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Yuan Cao: investigation, validation, writing — review and editing.
Jianguo Cao: conceptualization, supervision, project administration.
Yinqi Gao: investigation, theoretical analysis, validation, writing — original draft.
Ben Wang: supervision, resources, validation.
Pengfei Zhang: supervision, resources, validation.
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Cao, Y., Cao, J., Gao, Y. et al. The rolling schedule of Zircaloy-4 strip during multi-schedule and multi-pass hot rolling process. Int J Adv Manuf Technol 130, 511–525 (2024). https://doi.org/10.1007/s00170-023-12589-2
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DOI: https://doi.org/10.1007/s00170-023-12589-2