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Optimization of mold level fluctuation index based on particle image velocimetry |
GAO Yu1, WANG Zhendong1, SHAN Qinglin2,3, ZHANG Junguo4, LU Boxun2,3, WANG Bin4, CUI Heng1 |
1. Collaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Beijing 100083, China; 2. Technical Center, Tangshan Iron and Steel Group Co., Ltd., Tangshan 063000, Hebei, China; 3. Hebei Engineering Research Center of High Quality Steel Continuous Casting, Tangshan 063000, Hebei, China; 4. Hot Rolling Division, Tangshan Iron and Steel Group Co., Ltd., Tangshan 063000, Hebei, China |
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Abstract For the strand of 1 150 mm×230 mm section size of a Chinese steel plant, there are often problems such as slivers and blisters in the cold rolled sheet, a 0.6-scale water model of slab mold was built, and the casting speed, submerged entry nozzle (SEN) outlet angle and submerged depth were selected to carry out a three-factor three-level orthogonal experiment. Particle image velocimetry (PIV) was used to measure the mold flow field under different operating conditions, the liquid steel flow field and liquid steel flow rate in the mold were obtained, and the influence of different operating conditions on the mold flow field was analyzed by the mold level fluctuation index (F value). The results show that the jet angle of the liquid steel flow and the impact point, impact speed and impact angle of the flow on the narrow surface strand can be obtained through PIV, the characterization of liquid steel flow and level fluctuation in the mold can be analyzed using the F value. In the orthogonal experiment, the influence importance of each factor is casting speed> outlet angle > submerged depth, and the optimal operating conditions are casting speed of 1.5 m/min, SEN angle of -30°, submerged depth of 175 mm. Compared with the current operating conditions, the jet angle and impact depth of the optimized operating conditions increase, the upward flow of molten range gradually increases, the F value decreases and is closer to the target value, the level fluctuation amplitude decreases, the probability of slag entrainment decreases.
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Received: 30 June 2023
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