Camber measurement system in a hot rolling mill

Fraga, César G.; Gonzalez, R. C.; Cancelas, José A.; Enguita, J.M.; Loredo, L.A.R.

doi:10.1109/ias.2004.1348519

Cited by 5 publications

(5 citation statements)

References 9 publications

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“…8 Nowadays, due to simple, robust, reliable, and cheap computer-vision technology, several systems are beginning to employ vision technologies to measure exact camber value. 4,7 However, current systems only measure the whole camber for the slab or bar, though the measurement of the head/tail camber is important in the endless hot rolling process.…”

Section: Introductionmentioning

confidence: 99%

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Vision-based camber measurement system in the endless hot rolling process

et al. 2011

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Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 05/16/2015 Terms of Use: http://spiedl.org/termsAbstract. In the endless hot rolling process, camber is a significant defect where camber is flatness asymmetries produced by nonuniform distribution of rolling pressure. This kind of defect may not only cause clogging of the finishing mill, but also visible defects, such as bar edge folds, edge cracks, holes, and scrapes. It is important to measure the exact camber values of the overall shape and head/tail part of steel bars to reduce camber for hot-rolled steel bars. We introduce a vision-based camber measurement system based on two-area-scan charge-coupled device (CCD) cameras and proposes a camber-detection algorithm to achieve the optimal cutting-line, the overall bar shape, and camber values from the obtained image. The proposed algorithm consists of three parts: optimal cutting-line detection, image-stitching, and camber detection. The optimal cutting-line detection part determines the cutting line of the head/tail part of the bar for continuous joining between steel bars. The image-stitching part obtains the overall shape of a hot-rolled steel bar with continuous image sequence obtained by two-area-scan CCD cameras. The camberdetection part measures head camber, tail camber, and whole camber of the steel bar. Through the proposed camber-detection algorithm, the system not only satisfies a time constraint for detecting the camber of the steel bar but also obtains the optimal cutting line, the overall bar shape, and the camber values. C 2011 Society of Photo-Optical Instrumentation Engineers (SPIE).

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Section: Introductionmentioning

confidence: 99%

“…[4][5][6][7][8] Though they developed camber-measurement systems, which try to reduce camber by unevenness compensation, there are only a few systems that measure camber in real time. Most of them estimate the camber value through indirect measures provided by bar wedge gauges, width gauges, or other similar sensors.…”

Section: Introductionmentioning

confidence: 99%

Vision-based camber measurement system in the endless hot rolling process

et al. 2011

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“…20) A machine vision approach was adopted for on-line camber measurement. [21][22][23] In this simulator, although it is not an easy task to apply the above methods or its variant to real plant, the necessary information including curvature and side-slipping can be easily obtained based on the bar node information exported from the FEM simulator.…”

Section: Camber Measurementmentioning

confidence: 99%

“…Several methods can be used to obtain this information. 8,[13][14][15][20][21][22][23] The plate curvature profile along the plate length direction was represented as an n-th order polynomial based on the measurement from three off-center meters.…”

Section: Camber Measurementmentioning

confidence: 99%

Development of FEM Simulator Combined with Camber Reducing Output Feedback Fuzzy Controller for Rough Rolling Process

et al. 2013

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In hot rolling processes, the rough rolling process is an essential step for making the medium size bar for final strip products. After rough rolling, the bar usually has longitudinal bending called camber owing to several reasons. Camber should be reduced because it may cause various problems including clogging of finishing mill and strip edge folds. The difficulties to designing a camber-reducing controller are to have a good mathematical model of the rolling process and, consequently, lack of an appropriate validation scheme of the designed control algorithm before applying it to a real system. In this paper, a threedimensional simulator for the rough rolling process using FEM (Finite Element Method) is constructed. An output feedback fuzzy controller that does not require a mathematical model is then designed to reduce camber including the lateral bar movement called side-slipping by tilting the roll. A FEM simulation combined with the proposed controller is carried out to show the effectiveness of this scheme. The results show that camber and side-slipping can be effectively reduced while achieving a reasonable wedge profile.

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“…Measurement is conducted using machine vision. [12][13][14] The measurement devices consist of CCD cameras that take photographs of a fixed region of the run-out table. An image processing algorithm is used to extract the centerline of the bar from the photographs.…”

Section: Control Algorithm With Estimation Of Entry-side Wedgementioning

confidence: 99%

Camber Regulation in Rough Rolling Process Using Wedge Estimation of Incoming Bar

et al. 2015

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In this paper, a new algorithm to reduce camber based on an estimated entry-side wedge of the bar during rough rolling process is proposed. The entry-side wedge is estimated based on a simple mathematical model with the aids of the tangent vector variation and curvature, which can both be obtained using the measured bar centerline. The differential roll gap between drive-side and work-side was then adjusted to minimize the delivery-side curvature of the bar using this estimated entry-side wedge information. A three-dimensional simulator that describes a rough rolling process was constructed using FEM (Finite Element Method). The effectiveness of the proposed scheme was validated using FEM simulation combined with the proposed camber reducing algorithm.

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Camber measurement system in a hot rolling mill

Cited by 5 publications

References 9 publications

Vision-based camber measurement system in the endless hot rolling process

Vision-based camber measurement system in the endless hot rolling process

Development of FEM Simulator Combined with Camber Reducing Output Feedback Fuzzy Controller for Rough Rolling Process

Camber Regulation in Rough Rolling Process Using Wedge Estimation of Incoming Bar

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