Non-intrusive measurement of strip thickness and roll-bite length in metal rolling

Adeyemi, Gbenga Joshua; Dwyer-Joyce, R. S.; Pinna, C.; Hunter, Andy; Stephen, Joseph Temitope; Adebayo, Adeyinka

doi:10.1177/0954405420915037

Cited by 2 publications

(2 citation statements)

References 19 publications

(31 reference statements)

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“…Adeyemi et al [16,17] utilised a pitch-catch ultrasonic technique to investigate conditions in the metal-roll interface during metal rolling. Normal and oblique ultrasonic reflections from externally mounted piezoelectric sensors on the modified metal roll were used to model and experimentally study the effect of angle of incidence wave on the reflection coefficient at metal-roll interface during metal rolling operation [16].…”

Section: Introductionmentioning

confidence: 99%

“…Normal and oblique ultrasonic reflections from externally mounted piezoelectric sensors on the modified metal roll were used to model and experimentally study the effect of angle of incidence wave on the reflection coefficient at metal–roll interface during metal rolling operation [16]. They further explored the oblique ultrasonic reflections to estimate rolled strip thickness and roll-bite length in metal rolling [17]. Therefore, the present research work aims to use the ultrasonic approach to develop non-intrusive ultrasonic technique capable of real-time measurement oil-film thickness during the metal cold rolling operation utilising pitch-catch ultrasonic configurations (oblique reflected signal).…”

Section: Introductionmentioning

confidence: 99%

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Ultrasonic technique for measurement of oil-film thickness in metal cold rolling

Adeyemi

Dwyer-Joyce

Stephen

et al. 2021

Tribology - Materials, Surfaces & Interfaces

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Lubrication is essential in metal cold rolling operation to regulate friction at the metal-roll interface, reduce energy loss and improve the product surface finish. A novel non-intrusive pitch-catch technique, based on the reflection of ultrasound, was employed on a pilot mill to evaluate oil-film thickness at the metal-roll interface during the metal cold rolling operation. During the metal rolling process, oil-film thickness was measured under varying rolling load and rolling speed. The oil-film thickness increases as the roll speed increases and reduces as the rolling load increases. The values of oil-film thickness obtained from this non-intrusive ultrasonic technique agree with theoretical values. This study is a proof of concept and has shown promising results. If further developed, the technique could be employed for in situ monitoring of lubricant during rolling operation in metal rolling industries.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Ultrasonic technique for measurement of oil-film thickness in metal cold rolling

Adeyemi

Dwyer-Joyce

Stephen

et al. 2021

Tribology - Materials, Surfaces & Interfaces

View full text Add to dashboard Cite

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Joint prediction method for strip thickness and flatness in hot strip rolling process: A combined multi-indicator Transformer with embedded sliding window

Xu,

Dong,

Peng

2024

Proceedings of the Institution of Mechanical Engineers, Part B:

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Thickness and flatness are important quality indicators for strip. It is important that the rapid and accurate prediction of the exit thickness and flatness for the optimal control of the hot strip rolling process. Due to the fast and long rolling process, there are time delays, non-linearity and strong coupling among the variables, which cause difficulties in the establishment of prediction models. In this paper, the variables related to thickness and flatness are selected by analyzing the rolling process mechanism and data. Based on the data related to the rolling quality, a rolling exit thickness and flatness joint prediction model combined multi-indicator Transformer with embedded sliding window (SW-MTrans) is proposed. First, a sliding window is embedded into the input layer of the model in order to address the effect of the time delay among variables. Then a Transformer network is improved to achieve accurate prediction of thickness and flatness simultaneously. It is verified that the proposed method can predict the thickness and flatness at the same time with higher prediction accuracy and generalization ability compared with other methods through actual production data. The mean absolute error (MAE) for thickness prediction was reduced by 19.37% and MAE for flatness prediction was reduced by 14.03% compared to the existing prediction model.

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Non-intrusive measurement of strip thickness and roll-bite length in metal rolling

Cited by 2 publications

References 19 publications

Ultrasonic technique for measurement of oil-film thickness in metal cold rolling

Ultrasonic technique for measurement of oil-film thickness in metal cold rolling

Joint prediction method for strip thickness and flatness in hot strip rolling process: A combined multi-indicator Transformer with embedded sliding window

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