Study and application of advanced secondary control model for continuous casting at baosteel

An-gui, Hou; Zhang, Qun-Liang; Xu, Guodong; Jiang, Maofa

doi:10.1016/s1006-706x(15)30146-1

Cited by 7 publications

(6 citation statements)

References 16 publications

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“…Fundamentally-based computational models of heat transfer and solidification are now sufficiently accurate and efficient, that they are being used as part of online control systems. [10,24,26,[40][41][42] For typical commercial casting speeds, the advection of heat by the moving strand is much larger than heat conduction in the casting direction. [22] This enables Lagrangian thermalsolidification models of a horizontal slice moving down through the strand, which are efficient enough to run in real time.…”

Section: Online Controlmentioning

confidence: 99%

“…Fundamentally‐based computational models of heat transfer and solidification are now sufficiently accurate and efficient, that they are being used as part of online control systems . For typical commercial casting speeds, the advection of heat by the moving strand is much larger than heat conduction in the casting direction .…”

Section: Heat Transfer and Solidificationmentioning

confidence: 99%

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Review on Modeling and Simulation of Continuous Casting

Thomas

2017

steel research int.

183

115

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Continuous casting is a mature, sophisticated technological process, used to produce most of the world's steel, so is worthy of fundamentally-based computational modeling. It involves many interacting phenomena including heat transfer, solidification, multiphase turbulent flow, clogging, electromagnetic effects, complex interfacial behavior, particle entrapment, thermal-mechanical distortion, stress, cracks, segregation, and microstructure formation. Furthermore, these phenomena are transient, three-dimensional, and operate over wide length and time scales. This paper reviews the current state of the art in modeling these phenomena, focusing on practical applications to the formation of defects. It emphasizes model verification and validation of model predictions. The models reviewed range from fast and simple for implementation into online model-based control systems to sophisticated multiphysics simulations that incorporate many coupled phenomena. Both the accomplishments and remaining challenges are discussed.

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Section: Online Controlmentioning

confidence: 99%

Section: Heat Transfer and Solidificationmentioning

confidence: 99%

Review on Modeling and Simulation of Continuous Casting

Thomas

2017

steel research int.

183

115

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“…In the continuous casting process, the heat of the liquid steel is sequentially removed in the mold, the secondary cooling region, and the air cooling region, which is closely related to the quality and productivity of the casting steel [ 1 , 2 , 3 ]. Many researchers [ 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 ] have studied the heat transfer behavior of casting steel using numerical calculation methods in order to optimize the cooling and other process parameters. Based on the predicted slab surface temperature and the target temperature, the cooling water amount or nozzle arrangement in the secondary cooling region was optimized to eliminate the slab surface defects of transverse cracks [ 4 , 5 , 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

“…Many researchers [ 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 ] have studied the heat transfer behavior of casting steel using numerical calculation methods in order to optimize the cooling and other process parameters. Based on the predicted slab surface temperature and the target temperature, the cooling water amount or nozzle arrangement in the secondary cooling region was optimized to eliminate the slab surface defects of transverse cracks [ 4 , 5 , 6 , 7 ]. Furthermore, according to the predicted features of the mushy region and the strand position of the solidification end, a reasonable position for implementing strand/final electromagnetic stirring (S/F-EMS) [ 8 , 9 , 10 ] or soft/heavy reduction (S/HR) [ 11 , 12 , 13 ] was determined to effectively improve the internal defects of centerline segregation and porosity.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Solidification Heat Transfer in Slab Continuous Casting Process Based on Different Roll Contact Calculation Methods

Liu,

Zhang,

Zeng

et al. 2024

Materials

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The heat transfer of a slab is significantly influenced by roll contact during the continuous casting process. The influence of roll contact calculation methods on the predicted heat transfer results has not been previously investigated. In this work, the non-uniform solidification of the wide-thick slab was studied with a 2D heat transfer model using real roll contact method (R. method) and equivalent roll contact method (E. method). The predicted slab surface temperature and shell thickness were verified with the measured results of the infrared camera and nail shooting experiments, respectively. Then, the predicted heat transfer results (including the slab surface temperature, mushy region length, and solidification end position) for the wide-thick slab with different thicknesses and different casting speeds were calculated using the E. method and R. method, and the influence of these two roll contact methods on the predicted heat transfer results was discussed for the first time. The results show that both these two roll contact methods could be applied to accurately predict the slab surface temperature without considering the transient temperature dips in the roll–slab contact regions. However, the deviation of the predicted mushy region length and solidification end position using the E. method are obvious. Compared with the R. method, the predicted mushy region length obtained using the E. method is larger and the solidification end obviously subsequently moves along the casting direction.

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“…Zhang et al [20] presented an unequal interval arrangement of nozzles (UIAN) in the casting direction of the secondary cooling process for continuous casting of the round billets, which can uniform the surface temperature of the round billets and eliminate the midway cracks. Meanwhile, Hou et al [21] developed a dynamic secondary cooling control model which can automatically adjust the secondary cooling flow according to the slab casting parameters and maintain the slab surface temperature closer to the target value. It can also improve the surface cracks and central segregation.…”

Section: Introductionmentioning

confidence: 99%

Thermomechanical Analysis of the Effects of Water Distribution on Cracks during Vertical Continuous Casting under Soft Reduction Conditions

Yao

Wang

Liu

et al. 2020

Advances in Materials Science and Engineering

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In the production process of continuous casting slab, the unreasonable secondary cooling system can lead to serious crack defects. This study focuses on the problem of cracks in nuclear power stainless steel produced by vertical continuous casting under soft reduction conditions. Based on the actual production process parameters, the thermomechanical finite element model was established to investigate the effects of water distribution in the secondary cooling zones on cracks by using ProCAST. The results show that the stress concentration is obvious under the original process, especially the positions of 4 mm below the wide surface and 6 mm below the narrow surface. It is easy to generate cracks, and the area with the highest hot-tearing index is approximately 26 cm2. In addition, the secondary cooling system is adjusted based on the existing problems of the original process. The temperature of the casting slab rises by about 15°C at the solidification end point, and the length of the liquid core increases by about 0.5 m when the quantity of the water flow decreases in zone 2 and zone 3. The stress concentration is alleviated, and the possibility of cracking is reduced. Especially, it is evident that the proportion of water on the loose side margin increases from 40% to 45%, while the proportion of water on the fixed side margin of zone 3 is adjusted from 56% to 60%.

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Study and application of advanced secondary control model for continuous casting at baosteel

Cited by 7 publications

References 16 publications

Review on Modeling and Simulation of Continuous Casting

Review on Modeling and Simulation of Continuous Casting

Investigation of Solidification Heat Transfer in Slab Continuous Casting Process Based on Different Roll Contact Calculation Methods

Thermomechanical Analysis of the Effects of Water Distribution on Cracks during Vertical Continuous Casting under Soft Reduction Conditions

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