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A 2D Numerical Modeling Study of Slag Splashing in a Basic Oxygen Steelmaking Furnace 碱性氧炼钢炉溅渣的二维数值模拟研究
IF 4.3 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-02-24 DOI: 10.1021/acsengineeringau.4c00039
Raju Chowdhury, Geoffrey Evans, Tom Honeyands, Brian J Monaghan, David Scimone and Subhasish Mitra*, 

Wearing of the inner refractory lining in a basic oxygen steelmaking (BOS) furnace occurs due to the harsh operating conditions, which reduces the useful life of the refractories and incurs a significant cost component for relining. The lifespan can be prolonged by forming a protective coating layer on the refractory walls by using the retained slag splashing technique. In this study, an Eulerian-Eulerian multiphase computational fluid dynamics (CFD) model was developed to (i) identify the potential wear-prone zones in an industrial-scale BOS system during the supersonic oxygen blowing phase by quantifying the wall shear stress distributions and (ii) simulate the retained slag splashing process by introducing an inert gas to the retained slag mass to achieve a protective coating on the refractory walls. Two distinct lance head configurations comprising six nozzles and five nozzles were used to predict the potential wear-prone zones. Both the lance head designs and lance positions were found to influence the coating area. An increase in the retained slag volume was noted to augment the coating area substantially. An optimal lance position was identified within the physical constraints, wherein the maximum coated area was achieved for all operating conditions. The bottom bubbling process through the tuyeres on the furnace floor was also found to affect the wall coating performance.

在碱性氧炼钢(BOS)炉中,由于恶劣的操作条件,耐火材料内衬会发生磨损,这降低了耐火材料的使用寿命,并产生了很大的衬里成本。利用残余溅渣技术在耐火壁上形成保护涂层,可以延长使用寿命。在本研究中,建立了一个欧拉-欧拉多相计算流体动力学(CFD)模型,通过量化壁剪切应力分布来确定工业规模的BOS系统在超音速吹氧阶段的潜在易损区,并通过在残余渣块中引入惰性气体来模拟残余渣飞溅过程,从而在耐火壁上形成保护涂层。两种不同的枪头配置,包括6个喷嘴和5个喷嘴,用于预测潜在的磨损易发区域。枪头的设计和枪的位置都对涂层面积有影响。发现残留渣量的增加大大增加了涂层面积。在物理约束条件下确定了最佳喷枪位置,其中在所有操作条件下都实现了最大的涂覆面积。通过炉底风口的底鼓泡过程也会影响壁涂性能。
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引用次数: 0
IF 4.3 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-02-19
Mengmeng Cui, Lujain Alfilfil, Isidoro Morales Osorio, Khalid Almajnouni, Jorge Gascon and Pedro Castaño*, 
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引用次数: 0
IF 4.3 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-02-19
Sohyun Ahn*, Suvarna Patil and Martin Rudolph, 
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引用次数: 0
IF 4.3 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-02-19
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引用次数: 0
IF 4.3 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-02-19
Alan R. Taschin, Davi D. Petrolini, Adriano H. Braga, Alexandre Baiotto, Adriana Paula Ferreira, Alejandro Lopez-Castillo, João Batista O. Santos and José M. C. Bueno*, 
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引用次数: 0
IF 4.3 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-02-19
Lisa Schulz, Norbert Kockmann and Thorsten Röder*, 
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引用次数: 0
IF 4.3 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-02-19
Jae-Hun Kim, Soo Youn Lee, Hye Jin Lee, Hae In Lee, Dong-Ha Lim, Yoo Seok Lee*, Hee Soo Kim* and Sahng Hyuck Woo*, 
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引用次数: 0
IF 4.3 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-02-19
Ainoa Paradelo Rodríguez, Guido Mul* and Bastian T. Mei*, 
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引用次数: 0
IF 4.3 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-02-19
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引用次数: 0
IF 4.3 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-02-19
Madhumitha Dhanasekaran*, Varaha P. Sarvothaman*, Paolo Guida and William L. Roberts, 
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引用次数: 0
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