A novel multi-time scale collaborative process parameters optimisation framework for hot strip rolling process

Qingquan Xu, Jie Dong and Kaixiang Peng

International Journal of Production Research, 2025, vol. 63, issue 23, 8963-8983

Abstract: It is important that metal materials forming processes are optimised to improve product qualities and properties. However, information island and multi-time scale problems are formed in complex manufacturing processes, such as hot strip rolling process (HSRP), because of their long process, multi-system, and multi-level, etc. To solve the above problems, a multi-time scale collaborative optimisation framework for properties and shape of HSRP is proposed in this paper. First, the mechanism and data of the rolling process are analysed to establish the mechanical properties model in long time scale and the shape model in short time scale, respectively. Second, mechanical properties and shape optimisation models are established with the constraints of process parameters and equipment performance based on cloud-edge collaborative method to achieve multi-time scale collaborative optimisation. Finally, a multi-objective co-evolutionary sparrow search algorithm is proposed to solve large-scale complex optimisation models for mechanical properties and shape. To validate the effectiveness and superiority of the proposed framework, a prototype system platform of cloud-edge collaboration is built and experiments are conducted in actual HSRP. The results show that the proposed framework can improve the shape and properties of strip steel at the same time.

Date: 2025
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DOI: 10.1080/00207543.2025.2532134

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