Prediction Approach of Bulging Position and Deformation Based on Hilbert–Huang Transform in Slab Continuous Casting

Huang, Duan; Wang, Xudong; Yao, Man; Liu, Yu; Yu, Yue

doi:10.1007/s11663-020-01865-1

Cited by 5 publications

(3 citation statements)

References 24 publications

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“…The appearance of the bulging phenomenon mainly occurs within the machine, next to the mold, where there is a greater volume of liquid steel within the slab and, obviously, a less thick "skin" of solidified steel. Bulging disturbance is directly related to cooling capacity and speed, the dimensioning of the distance of the rollers, and the type of steel being produced at the casting machine (the lower the amount of carbon in its composition together with the addition of alloys, the greater the amplitude of the phenomenon), among other factors [7,10,26].…”

Section: Bulging Disturbancesmentioning

confidence: 99%

“…The frequency of bulging depends on both the spacing between the respective rolls, where the phenomenon occurs and the speed of extraction. According to [7], the oscillation frequency is approximately determined by Equation ( 4):…”

Section: Bulging Disturbancesmentioning

confidence: 99%

“…The slight bulging of the slabs can cause defects, such as central segregation and central cracks, decreasing the slabs' commercial value. Severe bulging conditions can cause the slab to jam or even lead to casting interruptions [2,7].…”

Section: Introductionmentioning

confidence: 99%

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A Model-Based Predictive Controller of the Level of Steel in the Mold with Disturbances Using a Repetitive Structure

Pereira

Almeida

Salles

et al. 2021

Metals

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Keeping the level of steel in the mold of the continuous casting process constant is fundamental for the quality of the steel produced and, consequently, its commercial value. It is challenging, considering the several disturbances that cause undesired variations in the mold level. The aim of this paper is to apply a repetitive structure composed of two controllers, a generalized predictive controller (GPC) and a repetitive GPC (R-GPC) with constraints to mitigate the bulging and clogging/unclogging disturbances and the casting speed variation in the mold level of the process. The R-GPC controller has the same characteristics as the GPC, such as performance, robustness to disturbances, and insertion of constraints, and its advantage is the elimination of periodic disturbances. The repetitive structure will be implemented with a robustness filter and tuned by a genetic algorithm (GA). The controller tests are performed by simulations of a nonlinear mathematical model of the mold level, validated using real data from the steel industry. The proposed controller reduces the bulging disturbance amplitude by 98.5% and at 25% of the frequency of reversions in the valve. Consequently, the proposed controller allows an increase in the valve life span, a reduction in maintenance costs, and quality improvement in the steel slab.

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Section: Bulging Disturbancesmentioning

confidence: 99%

Section: Bulging Disturbancesmentioning

confidence: 99%