Whole process prediction model of silicon steel strip on transverse thickness difference based on Takagi-Sugeno fuzzy network

He, Hai-nan; Dai, Zhuo-hao; Wang, Xiao-chen; Yang, Quan; Shao, Jian; Li, Jing-dong; Zhang, Zhi-hong; Zhang, Liang

doi:10.1007/s42243-023-01094-1

J. Iron Steel Res. Int.

2023

DOI: 10.1007/s42243-023-01094-1

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Whole process prediction model of silicon steel strip on transverse thickness difference based on Takagi-Sugeno fuzzy network

Hai-nan He,

Zhuo-hao Dai,

Xiao-chen Wang

et al.

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2024

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Cited by 7 publications

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Analysis and Prospects of Lubrication and Friction Characteristics in Cold Strip Rolling: A Review

Jin,

Li,

Gao

et al. 2024

steel research int.

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Lubrication and friction are the core processes in cold strip rolling, which are the key links to realizing the stable production of high‐quality strips, reflecting country advanced level in rolling technology. This review investigates the crucial properties of lubrication and friction in cold strip rolling by analyzing the mechanism, characterization methods, and influencing factors. The lubricant forms an oil film on the surface of rolls and strips based on the lubrication dynamics and tribology theory, changing the asperity contact state in the loaded roll gap, leading to changes in friction characteristics. Oil film thickness and coefficient of friction (COF) are crucial parameters for characterizing and judging the characteristics of lubrication and friction, theoretical calculations have become the core analytical method, and the study of the measurement method is still a great challenge. Parameters like rolling speed and oil viscosity affect the lubricant distribution and asperity contact in the loaded roll gap, changing the lubrication and friction state. The influence of parameters is strongly linked to the experimental or rolling environment. Prospective research trends on lubrication and friction in cold strip rolling are presented based on the status of research on lubrication and friction characterization.

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Analysis and Prospects of Lubrication and Friction Characteristics in Cold Strip Rolling: A Review

Jin,

Li,

Gao

et al. 2024

steel research int.

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Enhanced predictive modeling of hot rolling work roll wear using TCN-LSTM-Attention

Hu,

Zhou,

Liu

et al. 2024

Int J Adv Manuf Technol

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Symmetrical Variable Taper Plus: a novel variable crown work roll technology for enhancing edge drop control of hot-rolled strips

Wang,

He,

Liu

et al. 2024

Int J Adv Manuf Technol

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Whole process prediction model of silicon steel strip on transverse thickness difference based on Takagi-Sugeno fuzzy network

Cited by 7 publications

References 18 publications

Analysis and Prospects of Lubrication and Friction Characteristics in Cold Strip Rolling: A Review

Analysis and Prospects of Lubrication and Friction Characteristics in Cold Strip Rolling: A Review

Enhanced predictive modeling of hot rolling work roll wear using TCN-LSTM-Attention

Symmetrical Variable Taper Plus: a novel variable crown work roll technology for enhancing edge drop control of hot-rolled strips

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