Effect of novel mixed impeller on local bubble size and flow regime transition in pilot scale gas-liquid stirred tank reactor

IF 1 Q4 ENGINEERING, CHEMICAL
Roushni Kumari, Bhaskar Kasina, Raghvendra Gupta, H. J. Pant, Rajesh Kumar Upadhyay
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引用次数: 0

Abstract

Abstract The flow generated in a gas-liquid stirred tank reactor highly depends on the design of the impeller and sparger. To better understand the contact between the phases and the mass and heat transfer rates, especially when the mass transfer is the limiting step, it is crucial to investigate the hydrodynamics generated by the impellers and its impact on the bubble size and their distribution, and gas volume fraction. In this work, experimental and numerical studies are performed with a novel mixed impeller in a pilot scale (T = 0.486 m) gas-liquid stirred tank reactor. The Sauter mean diameter, mean bubble diameter and bubble size distribution is determined at the different radial and axial regions by using high-speed imaging technique. Further, Euler-Euler simulations are performed to find the detailed flow field of novel mixed impeller used in the current study. Finally, the gassed power to impeller swept volume ratio is determined from the CFD and correlated with the Sauter mean diameter measured in the experiment in the impeller discharge region. It is found that the novel mixed impeller used in current work shows the similar behavior as the Rushton impeller in the impeller discharge region and it also provide good axial mixing.
新型混合叶轮对中试规模气液搅拌罐反应器中局部气泡大小和流态转变的影响
摘要 气液搅拌罐反应器中产生的流动在很大程度上取决于叶轮和喷嘴的设计。为了更好地了解各相之间的接触以及传质和传热速率,特别是当传质是限制步骤时,研究叶轮产生的流体动力学及其对气泡大小及其分布和气体体积分数的影响至关重要。本研究在中试规模(T = 0.486 米)气液搅拌罐反应器中使用新型混合叶轮进行了实验和数值研究。利用高速成像技术测定了不同径向和轴向区域的萨特平均直径、平均气泡直径和气泡尺寸分布。此外,还进行了欧拉-欧拉模拟,以确定当前研究中使用的新型混合叶轮的详细流场。最后,通过 CFD 确定了气化功率与叶轮扫掠体积比,并将其与实验中在叶轮排出区测量到的萨特平均直径相关联。结果发现,本次研究中使用的新型混合叶轮在叶轮排出区的表现与 Rushton 叶轮相似,而且还能提供良好的轴向混合。
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来源期刊
Chemical Product and Process Modeling
Chemical Product and Process Modeling ENGINEERING, CHEMICAL-
CiteScore
2.10
自引率
11.10%
发文量
27
期刊介绍: Chemical Product and Process Modeling (CPPM) is a quarterly journal that publishes theoretical and applied research on product and process design modeling, simulation and optimization. Thanks to its international editorial board, the journal assembles the best papers from around the world on to cover the gap between product and process. The journal brings together chemical and process engineering researchers, practitioners, and software developers in a new forum for the international modeling and simulation community. Topics: equation oriented and modular simulation optimization technology for process and materials design, new modeling techniques shortcut modeling and design approaches performance of commercial and in-house simulation and optimization tools challenges faced in industrial product and process simulation and optimization computational fluid dynamics environmental process, food and pharmaceutical modeling topics drawn from the substantial areas of overlap between modeling and mathematics applied to chemical products and processes.
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