Research progress of cooling control systems after hot rolling

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

doi:10.1117/12.3025932

1 April 2024 Research progress of cooling control systems after hot rolling

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

Proceedings Volume 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023); 130822Y (2024) https://doi.org/10.1117/12.3025932
Event: 2023 4th International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology (MEMAT 2023), 2023, Guilin, China

Abstract

After-rolling cooling is a crucial technology for regulating the structure and properties of hot-rolled products, providing vital support for the production and quality improvement of hot-rolled strip products. The after-rolling cooling control system is a core factor limiting the development of after-rolling cooling technology. Therefore, conducting research on the after-rolling cooling control system is of significant importance. This paper first analyzes the basic principles of after-rolling cooling and summarizes the current state of research and applications for after-rolling cooling systems. It provides a comprehensive analysis and summarizes the research status and development trends of the after-rolling cooling control system from two aspects: control strategies and heat transfer mathematical models. Temperature control, as a key component of the after-rolling cooling control system, is essential. Precise control of cooling water pressure, flow rate, and the impact of strip speed fluctuations during the cooling process is an effective control strategy to improve the high-precision temperature control of the after-rolling cooling system. A comprehensive analysis of the application of traditional heat transfer models in strip steel heat transfer processes is presented. A comparative analysis of traditional temperature control models and temperature control models with the addition of intelligent algorithms indicates that conventional afterr-olling cooling control models can no longer meet the requirements of new after-rolling cooling systems under complex conditions. Therefore, it is necessary to develop more practical and intelligent adaptive control models that align with the characteristics of the new after-rolling cooling systems.

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

Citation Download Citation

Chi Chen, Yilong Yao, Jianhui Shi, Ruquan Liang, and Dengbo Zhang "Research progress of cooling control systems after hot rolling", Proc. SPIE 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023), 130822Y (1 April 2024); https://doi.org/10.1117/12.3025932

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KEYWORDS

Temperature control

Control systems

Cooling systems

Mathematical modeling

Data modeling

Fuzzy logic

Systems modeling

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