Thermal reliability research on entire roller-embedded shapemeter roll

Wu, Haimiao; Liu, Hong‐Min; Wang, Kai

doi:10.1007/s00170-016-9854-z

Cited by 5 publications

(8 citation statements)

References 8 publications

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“…Yang Lipo et al 22,23) performed an in-depth analysis of influences of zero residual voltage, partial coverage of a channel by strips at the edge of a measuring roll, installation precision of a measuring roll and deflection deformation on flatness signal, and they established a compensation model, which significantly improved accuracy of detection signal and laid a foundation for improving control precision. Temperature field and thermal deformation models of a measuring roll based on heat transfer and thermal elasticity theory were established by WU Haimiao et al 24) Wang Pengfei et al established an accurate compensation model for partial coverage of strips at the edge a channel of a measuring roll and proposed a method for determining flatness of strips when there is a failure in some channels of a measuring roll. 25) That is, they interpolated flatness signal to ensure accuracy and stability of a control system consequently.…”

Section: Modelling and Application Of Signal Decoupling Of Adjacent Cmentioning

confidence: 99%

Modelling and Application of Signal Decoupling of Adjacent Channels of a Whole-Roller Seamless Flatness Meter

Wang

Liu

et al. 2020

ISIJ Int.

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Section: Modelling and Application Of Signal Decoupling Of Adjacent Cmentioning

confidence: 99%

Modelling and Application of Signal Decoupling of Adjacent Channels of a Whole-Roller Seamless Flatness Meter

Wang

Liu

et al. 2020

ISIJ Int.

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“…The temperature of the contact surfaces at the top of the sensor is determined in accordance with [ 8 , 9 ]. Accordingly, the thermal deformation difference of these surfaces is described by:

where

is the temperature of the roll body at the top of the sensor in j -th rolling pass,

is the temperature of the top surface of the sensor in j -th rolling pass,

and

are the thermal expansion coefficient of the sensor, the thermal expansion coefficient of the shapemeter roll and Poisson’s ratio of the sensor, respectively.…”

Section: Sensor Size Parameters Design Modelmentioning

confidence: 99%

“…However, the influence of the sensor reliability, resulting from the sensor size parameters induced by the temperature and tension of the strip, remains unexplored. Wu et al [ 2 , 3 , 7 , 8 , 9 ] analyzed the work condition of a shapemeter employed in a seven-pass cold reversible rolling process. In [ 7 ], a coupled thermo-mechanical model was developed for analyzing the transient temperature field and the maximum equivalent stress of a shapemeter roll using the finite element commercial software ANSYS (ANSYS, PERA Global Inc., Beijing, China).…”

Section: Introductionmentioning

confidence: 99%

“…The analysis revealed that the maximum equivalent stress was considerably lower than the strength required of the material. The work pressure model and pre-pressure model of the shapemeter roll were deduced in [ 2 , 3 , 8 , 9 ]. The influence of the strip temperature on the contact status of the interference fit surface was analyzed via the finite element method, and a reasonable range of the interference fit value was determined.…”

Section: Introductionmentioning

confidence: 99%

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Reliability Evaluation and Robust Design of a Sensor in an Entire Roller-Embedded Shapemeter

Cui

Zhang

et al. 2018

Sensors

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The intermittence of the shape detection signal associated with an entire roller-embedded shapemeter roll, used in a seven-pass cold reversible rolling process, is considered. A transient interference at the sensor top surface and the distance between the sensor top surface and the roll outer surface are developed, and a sensor reliability evaluation model is derived. The reliability of the sensor is evaluated via the random perturbation method, and the reliability sensitivity of design variables is proposed. The analysis reveals that the reliability is smallest in the third rolling pass. Of the design variables considered, the initial interference exhibits the largest reliability sensitivity and has the greatest influence on the sensor reliability. A reliability robust design model of the initial interference is therefore developed. A new shapemeter roll is fabricated and tested in a 1050 reversible cold rolling mill. The test results are consistent with the theoretical results, thereby validating the proposed model. The selection of an appropriate initial interference provides an important means of overcoming the adverse effects associated with the thermal deformation of sensor contact surfaces.

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“…The internal stress detection device extensively used for industrial production of strip steel is a kind of contact detection roller [ 7 , 8 ]. With this methodology, a significant amount of pressure sensors are mounted on the surface of the detection roller, which capture pressures exerted on this detection roller by the tension at all positions of the strip steel.…”

Section: Introductionmentioning

confidence: 99%

Cold-Rolled Strip Steel Stress Detection Technology Based on a Magnetoresistance Sensor and the Magnetoelastic Effect

Guan

Zang

Han

et al. 2018

Sensors

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Driven by the demands for contactless stress detection, technologies are being used for shape control when producing cold-rolled strips. This paper presents a novel contactless stress detection technology based on a magnetoresistance sensor and the magnetoelastic effect, enabling the detection of internal stress in manufactured cold-rolled strips. An experimental device was designed and produced. Characteristics of this detection technology were investigated through experiments assisted by theoretical analysis. Theoretically, a linear correlation exists between the internal stress of strip steel and the voltage output of a magneto-resistive sensor. Therefore, for this stress detection system, the sensitivity of the stress detection was adjusted by adjusting the supply voltage of the magnetoresistance sensor, detection distance, and other relevant parameters. The stress detection experimental results showed that this detection system has good repeatability and linearity. The detection error was controlled within 1.5%. Moreover, the intrinsic factors of the detected strip steel, including thickness, carbon percentage, and crystal orientation, also affected the sensitivity of the detection system. The detection technology proposed in this research enables online contactless detection and meets the requirements for cold-rolled steel strips.

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Thermal reliability research on entire roller-embedded shapemeter roll

Cited by 5 publications

References 8 publications

Modelling and Application of Signal Decoupling of Adjacent Channels of a Whole-Roller Seamless Flatness Meter

Modelling and Application of Signal Decoupling of Adjacent Channels of a Whole-Roller Seamless Flatness Meter

Reliability Evaluation and Robust Design of a Sensor in an Entire Roller-Embedded Shapemeter

Cold-Rolled Strip Steel Stress Detection Technology Based on a Magnetoresistance Sensor and the Magnetoelastic Effect

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