A Low-Cost System For Flatness Monitoring in Metal Processes

Lopera, J.M.; Villegas, P.; Linera, F.F.; Hernandez-Magadan, F.; Martín-Ramos, J.A.; Díaz, Juan José del Coz; Vecino, G.; Rendueles, J. L.

doi:10.1109/ias.2006.256570

Cited by 4 publications

(5 citation statements)

References 2 publications

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“…Other methods are based on capacitance principles using an array of capacitive distance sensors [9]. They are more economical than other methods, however, they must be installed very close to the steel strip, which in some installations is not possible.…”

Section: Flatness Measurementmentioning

confidence: 99%

Vibrations in Steel Strips: Effects on Flatness Measurement and Filtering

Usamentiaga

García

Molleda

et al. 2014

IEEE Trans. on Ind. Applicat.

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Vibrations are periodic or random motion from an equilibrium position. In the steel industry, vibrations are an undesirable phenomenon, as they waste energy and create unwanted noise. For example, vibrations affect steel strips during rolling and transportation, producing random or periodic vertical movements of the strips as they move forward along a roll path. The consequences of these vibrations are particularly harmful for 3-D reconstruction and flatness measurement based on non-contact techniques. Vibrations corrupt the height profiles, causing an erroneous reconstruction of the 3-D surface. The flatness measurement is also distorted because the estimated lengths of the strip fibers with vibrations are different. This paper analyzes how vibrations in steel strips affect flatness measurement, and proposes methods to remove or reduce these effects. The shape of steel strips is firstly modeled including the two most common flatness defects: wavy edges and center buckle. Then, different types of vibrations are added to the strip models, and their effects on the resulting flatness measurement are analyzed. The method proposed to reduce the effects of vibrations is a combination of a low-pass filter and geometric transformations. Finally, these methods are applied to data from real strips.

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Section: Flatness Measurementmentioning

confidence: 99%

Vibrations in Steel Strips: Effects on Flatness Measurement and Filtering

Usamentiaga

García

Molleda

et al. 2014

IEEE Trans. on Ind. Applicat.

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“…Distance measurements are retrieved taking the electrical features of the rolled product into account and are used to estimate the length of its fibers [51,52]. Flatness measurements are computed using these measurements.…”

Section: On-line Flatness Sensors In the Steelmaking Industrymentioning

confidence: 99%

“…This group is focused on the application of the capacitive effect for distance measurement and has designed and developed a low-cost flatness sensor for cold-rolling based on this effect [51,52]. …”

Section: Flatness Sensors For the Steelmaking Industry In Spainmentioning

confidence: 99%

On-Line Flatness Measurement in the Steelmaking Industry

Molleda

Usamentiaga

García

2013

Sensors

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Shape is a key characteristic to determine the quality of outgoing flat-rolled products in the steel industry. It is greatly influenced by flatness, a feature to describe how the surface of a rolled product approaches a plane. Flatness is of the utmost importance in steelmaking, since it is used by most downstream processes and customers for the acceptance or rejection of rolled products. Flatness sensors compute flatness measurements based on comparing the length of several longitudinal fibers of the surface of the product under inspection. Two main different approaches are commonly used. On the one hand, most mechanical sensors measure the tensile stress across the width of the rolled product, while manufacturing and estimating the fiber lengths from this stress. On the other hand, optical sensors measure the length of the fibers by means of light patterns projected onto the product surface. In this paper, we review the techniques and the main sensors used in the steelmaking industry to measure and quantify flatness defects in steel plates, sheets and strips. Most of these techniques and sensors can be used in other industries involving rolling mills or continuous production lines, such as aluminum, copper and paper, to name a few. Encompassed in the special issue, State-of-the-Art Sensors Technology in Spain 2013, this paper also reviews the most important flatness sensors designed and developed for the steelmaking industry in Spain.

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“…For example, mechanical systems compute flatness based on radial force measurements using a deflector roll which contains strength or pressure transducers [3]. Other methods are based on capacitance principles using an array of capacitive distance sensors [7]. Machine vision methods, which use different light sources to illuminate the surface of the steel product, are also commonly used for flatness measurement, using .…”

Section: Introductionmentioning

confidence: 99%

Flatness measurement using two laser stripes to remove the effects of vibrations

Usamentiaga¹,

Molleda²,

Garcia³

et al. 2014

2014 IEEE Industry Application Society Annual Meeting

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Flatness measurement and control is a requirement in the production of high quality rolled steel products. One of the most popular measurement methods is based on laserlight sectioning sensors. This method is based on the projection of a laser stripe onto the steel strip while it moves forward along a roll path. The extraction of the laser stripes provides information about the lengths of the strip fibers, which are used to compute flatness. This flatness measurement method is easy to maintain, provides accurate results and can be built using low-cost components. However, it has a major disadvantage: it is severely affected by vibrations. Thus, when the movement of the strips is affected by vibrations, the resulting flatness measurement is inaccurate. This work proposes a solution: using a second laser stripe, and taking advantage of this redundant information to estimate and remove vibrations. This paper presents the procedure required to combine the laser stripes and produce a vibrations-free result. In order to test the proposed approach a mechanical prototype is built and used to produce vibrations. Results show excellent performance and indicate that the proposed approach presents a far more efficient solution than traditional methods using a single laser stripe.

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A Low-Cost System For Flatness Monitoring in Metal Processes

Cited by 4 publications

References 2 publications

Vibrations in Steel Strips: Effects on Flatness Measurement and Filtering

Vibrations in Steel Strips: Effects on Flatness Measurement and Filtering

On-Line Flatness Measurement in the Steelmaking Industry

Flatness measurement using two laser stripes to remove the effects of vibrations

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