The current research status of heat transfer models for hot rolling strip

Yilong Yao; Chi Chen; Jianhui Shi; Ruquan Liang; Dengbo Zhang

doi:10.1117/12.3025931

1 April 2024 The current research status of heat transfer models for hot rolling strip

Yilong Yao, Chi Chen, Jianhui Shi, Ruquan Liang, Dengbo Zhang

Proceedings Volume 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023); 1308222 (2024) https://doi.org/10.1117/12.3025931
Event: 2023 4th International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology (MEMAT 2023), 2023, Guilin, China

Abstract

Post-rolling cooling is a critical step in the hot rolling production process, and it has a significant impact on the microstructure and mechanical properties of the final product. This paper first introduces three main modules of research on advanced post-rolling cooling system models. Secondly, it analyzes how to establish high-precision predictive models for post-rolling cooling systems and improve temperature control accuracy. The paper summarizes some strategies and solutions proposed by scholars to address identified issues. By utilizing advanced control theory and deep learning, a post-rolling control and cooling predictive model is developed to effectively mine production big data and provide accurate forecasts for the cooling system. In terms of improving temperature control accuracy, scholars have optimized existing self-learning models, resulting in a dual-model parallel system known as VSG+DNN. This system significantly enhances the stability and robustness of the post-rolling cooling system.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yilong Yao, Chi Chen, Jianhui Shi, Ruquan Liang, and Dengbo Zhang "The current research status of heat transfer models for hot rolling strip", Proc. SPIE 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023), 1308222 (1 April 2024); https://doi.org/10.1117/12.3025931

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