Transverse thickness profile control of electrical steel in 6-high cold rolling mills based on the GA-PSO hybrid algorithm

Song, Chunning; Cao, Jian; Wang, Leilei; Xiao, Jing; Zhao, Qianchuan

doi:10.1007/s00170-022-09322-w

Cited by 20 publications

(3 citation statements)

References 25 publications

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“…Moreover, assuming an optimal rectangular section of electrical steel as the control target, the control strategy of multi‐stand actuators was proposed based on this GA–PSO hybrid algorithm. [ 104 ]…”

Section: Improvements In the Edge Control Systemmentioning

confidence: 99%

“…Moreover, assuming an optimal rectangular section of electrical steel as the control target, the control strategy of multi-stand actuators was proposed based on this GA-PSO hybrid algorithm. [104] These studies primarily focused on the single-point thickness index. Owing to the demand for EDC of thin silicon steel strips, the newly generated edge-drop gauge data has not yet attracted academic attention, and the joint utilization of the edge-drop automatic control system and flatness automatic control system further aggravates the strong correlation of rolling production data.…”

Section: Application Of Machine Learning In Edcmentioning

confidence: 99%

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Development of Cold‐Rolling Edge‐Drop Control Technology for Electrical Steel: A Review

Wei

Wang

Sun

et al. 2023

steel research int.

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As an emerging technology in the production of electrical steel, edge‐drop control (EDC) caters to the increasing requirements for the overall shape quality of strips. Herein this review, the development of EDC theory, method, and control system used in the cold‐rolling process is summarized. Also, in this review, research on EDC theory is found to be based on the 3D plastic deformation model of the strip, considering the lateral metal flow. Further, an analytical model and a numerical calculation method are employed to establish an edge‐drop calculation model with high accuracy and speed. Next, taper‐work‐roll shifting (T‐WRS), a conventional EDC technology, is found to have been greatly improved in actual production. However, T‐WRS technology involves coupling problems in terms of edge drop and crown and flatness control. Finally, the closed‐loop EDC is found to depend on the online WRS of multiple stands. Particularly, the genetic law of strip thickness in the continuous rolling process and the edge‐drop regulation characteristics of each stand in the continuous rolling mill are significant aspects; thus, a reasonable roll‐shifting control strategy must be formulated. Based on the reviewed research, the development prospect of EDC is characterized.

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Section: Improvements In the Edge Control Systemmentioning

confidence: 99%

Section: Application Of Machine Learning In Edcmentioning

confidence: 99%

Development of Cold‐Rolling Edge‐Drop Control Technology for Electrical Steel: A Review

Wei

Wang

Sun

et al. 2023

steel research int.

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“…The According to other scholars' research on the flatness control characteristics of WRB and IRB, the WRB has good control ability for the quadratic and quartic flatness component of the strip, while the IRB almost only has an effect on the quadratic flatness component [5,10,32]. Accordingly, ignoring the effect of IRB on quartic flatness, it is considered that the quartic flatness of the strip is ensured by the WRB only, while the quadratic flatness of the strip is ensured by the joint action of the WRB and IRB.…”

Section: Chain Model For Bending Force Presetmentioning

confidence: 99%

Preset model of bending force in 6-high universal crown tandem cold rolling mill based on symbolic regression

Yang

Wang

et al. 2023

Ironmaking & Steelmaking

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Highly accurate bending force presetting is a prerequisite to ensure the well flatness of the strip head, however, there are limitations in the preset model used in industrial sites. According to the flatness control characteristics of work roll and intermediate roll bending forces, this paper integrates the historical production data of a 1420 mm 6-high tandem cold rolling mill and establishes a chain model of bending force preset based on symbolic regression, which implements with age-layered population structure genetic programming (ALPS-GPSR). The advantage of symbolic regression models is the ability to obtain explicit mathematical expressions, which is very important in complex industrial production environments. With the application of ALPS-GPSR based bending force preset model in the industrial site, the hit rate of flatness within 6IU in the strip head for three specifications of the strip has increased by 2.86%, 1.61%, and 2.19% respectively on average, achieving a satisfactory result.

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Structure optimization of electromagnetic clinching die based on response surface methodology and particle swarm optimization algorithm

Huang

Sun

et al. 2023

Int J Adv Manuf Technol

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Transverse thickness profile control of electrical steel in 6-high cold rolling mills based on the GA-PSO hybrid algorithm

Cited by 20 publications

References 25 publications

Development of Cold‐Rolling Edge‐Drop Control Technology for Electrical Steel: A Review

Development of Cold‐Rolling Edge‐Drop Control Technology for Electrical Steel: A Review

Preset model of bending force in 6-high universal crown tandem cold rolling mill based on symbolic regression

Structure optimization of electromagnetic clinching die based on response surface methodology and particle swarm optimization algorithm

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