{"title":"Effect of breakup and coalescence kernels on polydispersed bubbly flow in continuous casting mold","authors":"Yu Li , Zhongqiu Liu , Guodong Xu , Baokuan Li","doi":"10.1016/j.ijmultiphaseflow.2024.104872","DOIUrl":null,"url":null,"abstract":"<div><p>Previous studies on polydispersed bubbly flow in continuous casting (CC) mold were mainly attentive to the modeling of shear-induced turbulence, interfacial force, and bubble swarm effects. The current study reveals the coalescence and breakup mechanisms of bubbles in CC mold. Then, a calibration factor of coalescence kernel is proposed based on local gas holdup to harmonize the imbalance between coalescence and breakup rates. The effect of bubble coalescence and breakup models on the Sauter mean diameter, gas holdup, and liquid velocity were studied and against with the experimental data. The results show that the Turbulent and Liao models underestimate the bubbles coalescence rate and the Luo coalescence model overestimates the bubbles coalescence rate. Meanwhile, turbulence shear and surface instability overestimate the bubble breakup frequency, and turbulent impact is the most important mechanism used to describe bubble breakup phenomenon in the CC mold. Furthermore, the turbulent fluctuation, buoyancy driven, and wake entrainment should be considered to define the bubbles collision frequency, while the viscous shear and eddy capture mechanisms could be neglected. The Luo-Prince model could accurately predict the bubble size distribution and the fan-shaped distribution of bubble clusters, which comprehensively considers three collision mechanisms. Finally, the combination form of calibration factors could effectively describe the influence of local gas holdup on bubble collision frequency. The proposed calibration factor can predict bubble size distribution more accurately in the CC mold. The relative error of mean bubble diameter prediction is reduced from 63.53 % to 17.86 %.</p></div>","PeriodicalId":339,"journal":{"name":"International Journal of Multiphase Flow","volume":null,"pages":null},"PeriodicalIF":3.6000,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Multiphase Flow","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0301932224001496","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MECHANICS","Score":null,"Total":0}
引用次数: 0
Abstract
Previous studies on polydispersed bubbly flow in continuous casting (CC) mold were mainly attentive to the modeling of shear-induced turbulence, interfacial force, and bubble swarm effects. The current study reveals the coalescence and breakup mechanisms of bubbles in CC mold. Then, a calibration factor of coalescence kernel is proposed based on local gas holdup to harmonize the imbalance between coalescence and breakup rates. The effect of bubble coalescence and breakup models on the Sauter mean diameter, gas holdup, and liquid velocity were studied and against with the experimental data. The results show that the Turbulent and Liao models underestimate the bubbles coalescence rate and the Luo coalescence model overestimates the bubbles coalescence rate. Meanwhile, turbulence shear and surface instability overestimate the bubble breakup frequency, and turbulent impact is the most important mechanism used to describe bubble breakup phenomenon in the CC mold. Furthermore, the turbulent fluctuation, buoyancy driven, and wake entrainment should be considered to define the bubbles collision frequency, while the viscous shear and eddy capture mechanisms could be neglected. The Luo-Prince model could accurately predict the bubble size distribution and the fan-shaped distribution of bubble clusters, which comprehensively considers three collision mechanisms. Finally, the combination form of calibration factors could effectively describe the influence of local gas holdup on bubble collision frequency. The proposed calibration factor can predict bubble size distribution more accurately in the CC mold. The relative error of mean bubble diameter prediction is reduced from 63.53 % to 17.86 %.
以往关于连铸(CC)模具中多分散气泡流动的研究主要关注剪切力引起的湍流、界面力和气泡群效应的建模。本研究揭示了 CC 结晶器中气泡的凝聚和破裂机理。然后,基于局部气体滞留提出了凝聚核的校准因子,以协调凝聚和破裂率之间的不平衡。研究了气泡凝聚和破裂模型对 Sauter 平均直径、气体截留和液体速度的影响,并与实验数据进行了对比。结果表明,Turbulent 和 Liao 模型低估了气泡凝聚率,而 Luo 凝聚模型高估了气泡凝聚率。同时,湍流剪切和表面不稳定性高估了气泡破裂频率,而湍流冲击是用于描述 CC 模具中气泡破裂现象的最重要机制。此外,在定义气泡碰撞频率时,应考虑湍流波动、浮力驱动和尾流夹带,而粘性剪切和涡流捕获机制可以忽略。罗-普林斯模型综合考虑了三种碰撞机制,能准确预测气泡大小分布和气泡团的扇形分布。最后,校准因子的组合形式可以有效地描述局部气体滞留对气泡碰撞频率的影响。所提出的校准因子能更准确地预测 CC 模具中的气泡大小分布。平均气泡直径预测的相对误差从 63.53% 降低到 17.86%。
期刊介绍:
The International Journal of Multiphase Flow publishes analytical, numerical and experimental articles of lasting interest. The scope of the journal includes all aspects of mass, momentum and energy exchange phenomena among different phases such as occur in disperse flows, gas–liquid and liquid–liquid flows, flows in porous media, boiling, granular flows and others.
The journal publishes full papers, brief communications and conference announcements.