Development of a Shape Meter Employing the LED Dot Pattern Projection Method for a Hot Strip Finishing Mill

Isei, Yoshito; Kato, Tomoya; Osugi, Masahiro; Ohta, Takeshi

doi:10.2355/isijinternational.isijint-2019-718

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…Through the analysis, the leveling strategy for increasing the leveling efficiency of crossbowed plates is validated with a high degree of reliability. Besides, Isei et al (2019) developed a new shape meter, which used LED dot pattern projection method to realise accurate automatic flatness control (AFC). Wu et al (2014Wu et al ( , 2018aWu et al ( , 2018b have carried out research on temperature field, thermal deformation models, thermal reliability of the shapemeter roll based on heat transfer and thermal elasticity theory; the temperature difference, thermal displacement difference, and the interference fit value associated with the interference fit surfaces were derived from these models.…”

Section: Introductionmentioning

confidence: 99%

Development of a virtual shapemeter based on a shape control model for continuous annealing

Yang

et al. 2020

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Purpose Continuous annealing (CA) units usually lack a physical shapemeter; consequently, real-time display and closed-loop control of the strip shape are impossible to achieve. Design/methodology/approach A shape model for the CA process is established in this study. Specifically, a virtual shapemeter and closed-loop control system based on the advanced parameter acquisition system and information transmission of CA units are developed in C++ programming language. This system realises real-time dynamic shape display, closed-loop control and shape prediction by collecting raw data of steel coils and parameters during CA. Findings Field test results show that the shape predicted by the virtual shapemeter coincides with the measured shape by over 90 per cent, which fully meets the precision requirement of industrial applications. Originality/value Moreover, shape quality is effectively improved without increasing hardware investments.

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Section: Introductionmentioning

confidence: 99%

Development of a virtual shapemeter based on a shape control model for continuous annealing

Yang

et al. 2020

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Analysis of Generation Mechanism of Unimodal and Bimodal Waveform Detection Signals of a Whole Roll Flatness Meter

Zhang,

Liao,

Gao

et al. 2024

ISIJ Int.

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Development of a Shape Meter Employing the LED Dot Pattern Projection Method for a Hot Strip Finishing Mill

Cited by 2 publications

References 7 publications

Development of a virtual shapemeter based on a shape control model for continuous annealing

Development of a virtual shapemeter based on a shape control model for continuous annealing

Analysis of Generation Mechanism of Unimodal and Bimodal Waveform Detection Signals of a Whole Roll Flatness Meter

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