化学工程

双层自吸式搅拌反应器的流体力学和传质特性

  • 谢冰琪 ,
  • 杨乐乐 ,
  • 陈文霆
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  • 1. 清华大学 化学工程系, 化学工程联合国家重点实验室, 北京 100084;
    2. 乐威医药(天津)有限公司, 天津 300300
谢冰琪(1996—),男,博士研究生。E-mail:xiebq22@mails.tsinghua.edu.cn

收稿日期: 2023-10-04

  网络出版日期: 2024-08-21

Hydrodynamics and mass transfer of self-inducing reactor with dual impeller

  • XIE Bingqi ,
  • YANG Lele ,
  • CHEN Wenting
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  • 1. State Key Laboratory of Chemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing 100084, China;
    2. Laviana Pharma Co., Ltd., Tianjin 300300, China

Received date: 2023-10-04

  Online published: 2024-08-21

摘要

自吸式搅拌反应器是一种高效的气液、 气液固三相混合设备。目前, 对自吸式搅拌反应器的研究和放大主要依赖于经验和实验, 仍然需要大量的基础实验数据来指导反应器的放大。该文采用3-D打印技术设计并制造了一种双层自吸桨, 用于搅拌反应器中。研究了不同叶轮转速和叶轮浸没深度对临界吸气转速、 气含率和气液传质性能的影响。实验结果表明, 临界吸气转速随着自吸桨浸没深度的增加而增大; 增加自吸桨的转速可以有效提高系统中的气含率和气液界面面积。在1.2 L液体条件下, 氢气在四氢呋喃中传质系数介于0.08~0.17 s-1之间。此外, 还拟合得到了氢气在四氢呋喃中的传质预测方程, 用作反应器放大的指导。最后, 结合该反应器研究了黄体酮加氢反应的动力学。

本文引用格式

谢冰琪 , 杨乐乐 , 陈文霆 . 双层自吸式搅拌反应器的流体力学和传质特性[J]. 清华大学学报(自然科学版), 2024 , 64(9) : 1658 -1665 . DOI: 10.16511/j.cnki.qhdxxb.2024.21.017

Abstract

[Objective] The self-inducing impeller reactor is a high-efficiency device for gas-liquid and gas-liquid-solid three-phase mixing. This innovative reactor offers several advantages over traditional stirred reactors, such as higher gas utilization, a simpler structure, easier operation, and superior heat and mass transfer performance. Its potential applications span a range of chemical processes, from foam flotation and bio-fermentation to hydrogenation, oxidation, alkylation, and halogenation reactions. Despite its promising capabilities, the development and scale-up of the self-inducing impeller reactor largely rely on empirical knowledge and experimental work. Therefore, there is a clear need for more fundamental research to gain a better understanding of the reactor mechanics and provide essential foundational data for its future application. [Methods] In this study, we designed and constructed a double-disk self-inducing impeller using 3D-printing. The effects of different speeds and immersion depth of the impeller on the critical impeller speed, gas holdup, and gas-liquid mass transfer performance were studied. The critical impeller speed, a key indicator of the reactor's gas dispersal capability, is defined by the minimum speed at which the first bubble appears. It is influenced by several factors, such as the impeller's shape, size, immersion depth, as well as liquid properties. [Results] The experimental results indicate that the critical impeller speed increases as the immersion depth of the impeller increases. Moreover, deviations were observed between the predicted critical speeds and those achieved during operation, which could be likely attributed to axial drifts in the critical speed. Increasing the speed of the self-inducing impeller was found to significantly improve both the gas holdup and the gas-liquid interfacial area within the system. Under the experimental conditions described in this work, the gas holdup varied from 0% to 10%, with bubble sizes ranging from 1 to 5 mm. An automated platform based on LabVIEW was established to measure the mass transfer coefficient of hydrogen in tetrahydrofuran, achieving optimal gas-liquid mass transfer coefficients between 0.08 to 0.17 s-1 for a liquid volume of 1.2 L. Furthermore, a dimensionless correlation was fitted to predict the kLa for the self-inducing impeller reactor, offering valuable guidance for reactor scaling-up. The results show that fitting data closely aligns with the experimental data. Finally, we explored the kinetics of the progesterone hydrogenation reaction within a self-inducing impeller reactor and conducted simulations using the Dynochem software based on the experimental data. These simulations indicated that variations in the mass transfer coefficients, specifically at 0.08/s and 0.8/s, do not significantly affect the reaction outcomes. This observation suggests that the mass transfer rate greatly exceeds the reaction rate (Rrxn/Rmt<10%). [Conclusions] In summary, this study successfully established an online automated research platform for a self-inducing impeller reactor. This innovative platform facilitated the evaluation of the reactor performance, focusing on crucial parameters such as critical speed, power consumption, gas holdup, bubble size, and mass transfer coefficient. Additionally, experiments and simulations were conducted on a small scale, specifically focusing on a progesterone hydrogenation reaction. These investigations provided preliminary insights into the effective scale-up of the reactor, laying a solid foundation for further analysis and development.

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