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Article

Intelligent Analysis and Optimization of Lubrication Status Factor Based on Dynamically Loaded Roll Gap in Cold Strip Rolling

by
Shuren Jin
1,
Xu Li
1,2,*,
Pengfei Wang
3,
Feng Luan
4,
Fangsheng Chen
1,
Dianhua Zhang
1 and
Haidong Zhang
5
1
The State Key Laboratory of Rolling and Automation, Northeastern University, No.8, 3 Lane, Wenhua Rd, Heping District, Shenyang 110819, China
2
State Key Laboratory of Featured Metal Materials and Life-Cycle Safety for Composite Structures, Guangxi University, No.100, East Daxue Road, Xixiangtang District, Nanning 530004, China
3
National Engineering Research Center for Equipment and Technology of Cold Strip Rolling, Yanshan University, No.438, Hebei Street (West), Qinhuangdao 066000, China
4
School of Computer Science and Engineering, Northeastern University, No.8, 3 Lane, Wenhua Rd, Heping District, Shenyang 110819, China
5
Capital Engineering and Research Incorporation Ltd., 7 Jian’an Street, Beijing Economic-Technological Development Area, Beijing 100176, China
*
Author to whom correspondence should be addressed.
Lubricants 2025, 13(2), 54; https://doi.org/10.3390/lubricants13020054
Submission received: 7 January 2025 / Revised: 25 January 2025 / Accepted: 26 January 2025 / Published: 28 January 2025

Abstract

Lubrication is a critical process in cold strip rolling, and the accurate characterization of lubrication characteristics is an essential factor affecting the strip quality. The roll bending and tilting roll in the flatness actuators change the loaded roll gap profile and affect the lubrication characteristics by flatness dynamic correction, thus the mismatch between the actual and setting values of the lubrication status factor. Firstly, the flatness deviation correction model of roll bending and tilting roll based on the key information of the rolling process is established according to the high-order flatness target. Secondly, the characterization of the instantaneous oil film thickness in the work zone based on the loaded roll gap profile is derived from Reynolds’ equation. Finally, the explicit characterization method of the lubrication status factor in the rolling force model of the final stand is established with the work roll bending, tilting roll, and instantaneous oil film thickness of the work zone as variables, relying on the UCM five-stand, six-roll tandem cold rolling mill. The statistical evaluation and application results show that the mentioned optimization method can improve the setting accuracy of the rolling force by about 60% and the after-rolling gauge accuracy by about 50%.
Keywords: cold strip rolling; strip quality; loaded roll gap; rolling force; lubrication status factor cold strip rolling; strip quality; loaded roll gap; rolling force; lubrication status factor

Share and Cite

MDPI and ACS Style

Jin, S.; Li, X.; Wang, P.; Luan, F.; Chen, F.; Zhang, D.; Zhang, H. Intelligent Analysis and Optimization of Lubrication Status Factor Based on Dynamically Loaded Roll Gap in Cold Strip Rolling. Lubricants 2025, 13, 54. https://doi.org/10.3390/lubricants13020054

AMA Style

Jin S, Li X, Wang P, Luan F, Chen F, Zhang D, Zhang H. Intelligent Analysis and Optimization of Lubrication Status Factor Based on Dynamically Loaded Roll Gap in Cold Strip Rolling. Lubricants. 2025; 13(2):54. https://doi.org/10.3390/lubricants13020054

Chicago/Turabian Style

Jin, Shuren, Xu Li, Pengfei Wang, Feng Luan, Fangsheng Chen, Dianhua Zhang, and Haidong Zhang. 2025. "Intelligent Analysis and Optimization of Lubrication Status Factor Based on Dynamically Loaded Roll Gap in Cold Strip Rolling" Lubricants 13, no. 2: 54. https://doi.org/10.3390/lubricants13020054

APA Style

Jin, S., Li, X., Wang, P., Luan, F., Chen, F., Zhang, D., & Zhang, H. (2025). Intelligent Analysis and Optimization of Lubrication Status Factor Based on Dynamically Loaded Roll Gap in Cold Strip Rolling. Lubricants, 13(2), 54. https://doi.org/10.3390/lubricants13020054

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