基于EMMS模型的搅拌釜内气液两相流数值模拟

doi:10.11949/j.issn.0438-1157.20160006

化工学报 ›› 2016, Vol. 67 ›› Issue (7): 2732-2739.DOI: 10.11949/j.issn.0438-1157.20160006

基于EMMS模型的搅拌釜内气液两相流数值模拟

肖颀^1,2, 杨宁²

1. 武汉第二船舶设计研究院核动力舰船蒸汽动力系统国防科技实验室, 湖北武汉 430064;
2. 中国科学院过程工程研究所多相复杂系统国家重点实验室, 北京 100190

收稿日期:2016-01-04 修回日期:2016-04-11 出版日期:2016-07-05 发布日期:2016-07-05
通讯作者: 杨宁
基金资助:
国家自然科学基金项目（91434121）；国家科技支撑计划项目（2013BAC12B01）；中国科学院战略先导项目（XDA07080301）。

Numerical simulation of gas-liquid flow in stirred tanks based on EMMS model

XIAO Qi^1,2, YANG Ning²

1. Laboratory on Steam Power System, Wuhan 2nd Ship Design and Research Institute, Wuhan 430064, Hubei, China;
2. State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China

Received:2016-01-04 Revised:2016-04-11 Online:2016-07-05 Published:2016-07-05
Supported by:
supported by the National Natural Science Foundation of China (91434121), the Ministry of Science and Technology of China (2013BAC12B01) and the Chinese Academy of Sciences (XDA07080301).

摘要/Abstract

摘要：

采用欧拉-欧拉模型对搅拌釜内气液两相流进行了三维CFD模拟，重点研究了采用不同曳力模型时CFD模拟对搅拌桨附近排出流区两相流动的预测能力。模拟结果表明CFD能准确地预测排出流区的液相速度分布，但采用传统的Schiller-Naumann曳力一定程度上低估了排出流区的气液相间曳力，导致在完全扩散区CFD预测的分布器和桨叶下方区域气含率偏小，而基于气液非均匀结构和能量最小多尺度（EMMS）方法得到的DBS-Global曳力模型能更准确地描述完全扩散区气液搅拌釜内流动情况。与传统曳力模型相比，采用DBS-Global曳力模型能显著提高对气含率的预测。

关键词: 搅拌釜, 气液两相流, 计算流体力学, 曳力, 数值模拟

Abstract:

3D Eulerian-Eulerian model was applied to simulate the flow in a gas-liquid stirred tank. Simulation results with different drag models were evaluated at the discharge flow region. CFD simulation could correctly predict the liquid velocity distribution around the impeller, but the traditional Schiller-Naumann drag model under-estimates the drag force, leading to the relatively lower gas holdup at the region under the impellers and gas distributor. The DBS-Global drag model derived from the gas-liquid EMMS model could obtain more reasonable gas holdup distribution at the complete dispersion regime and significantly improved the prediction accuracy of the gas holdup distribution at the discharge flow region.

Key words: stirred tank, gas-liquid flow, CFD, drag force, numerical simulation

中图分类号:

TQ051.7

肖颀, 杨宁. 基于EMMS模型的搅拌釜内气液两相流数值模拟[J]. 化工学报, 2016, 67(7): 2732-2739.

XIAO Qi, YANG Ning. Numerical simulation of gas-liquid flow in stirred tanks based on EMMS model[J]. CIESC Journal, 2016, 67(7): 2732-2739.

参考文献 32

[1]	PAUL E L, ATIEMO-OBENG V A, KRESTA S M. Handbook of Industrial Mixing[M]. Wiley Online Library, 2004.
[2]	MUELLER S G, DUDUKOVIC M P. Gas holdup in gas-liquid stirred tanks[J]. Industrial & Engineering Chemistry Research, 2010, 49(21): 10744-10750.
[3]	DONG L, JOHANSEN S, ENGH T. Mass transfer at gas-liquid interfaces in stirred vessels[J]. Canadian Metallurgical Quarterly, 1992, 31(4): 299-307.
[4]	RANADE V, VAN DEN AKKER H. A computational snapshot of gas-liquid flow in baffled stirred reactors[J]. Chemical Engineering Science, 1994, 49(24): 5175-5192.
[5]	WANG W J, MAO Z S. Numerical simulation of gas-liquid flow in a stirred tank with a Rushton impeller[J]. Chinese Journal of Chemical Engineering, 2002, 10(4): 385-395.
[6]	KHOPKAR A R, RANADE V V. CFD simulation of gas-liquid stirred vessel: VC, S33, and L33 flow regimes[J]. AIChE Journal, 2006, 52(5): 1654-1672.
[7]	BRUCATO A, GRISAFI F, MONTANTE G. Particle drag coefficients in turbulent fluids[J]. Chemical Engineering Science, 1998, 53(18): 3295-3314.
[8]	BAKKER A, VAN DEN AKKER H. A computational model for the gas-liquid flow in stirred reactors[J]. Chemical Engineering Research and Design, 1994, 72(A4): 594-606.
[9]	ZHANG Q H, YANG C, MAO Z S, et al. Large eddy simulation of turbulent flow and mixing time in a gas-liquid stirred tank[J]. Industrial & Engineering Chemistry Research, 2012, 51(30): 10124-10131.
[10]	陈雷, 高正明. 多层桨气-液搅拌反应器内局部特性的数值模拟[J].北京化工大学学报(自然科学版), 2010, 37(3): 14-19. CHEN L, GAO Z M. Numerical simulation of local characteristics in an aerated stirred tank with multiple impellers[J]. Journal of Beijing Unnivesity of Chemical Technology (Natural Science Edition), 2010, 37(3): 14-19.
[11]	李伟, 刘跃进, 孔丽娜, 等. Rushton搅拌釜内的气含率分布及其流动特性的模拟[J].化工学报, 2011, 62(10): 2691-2698. LI W, LIU Y J, KONG L N, et al. Simulation for gas hold-up distribution and flow behavior in Rushton stirred tank[J].CIESC Journal, 2011, 62(10): 2691-2698.
[12]	李静海, 葛蔚, 欧阳洁, 等.颗粒流体复杂系统的多尺度模拟[M]. 北京: 科学出版社, 2005. LI J H, GE W, OUYANG J, et al. Multi-scale Simulation of Particle-fluid Complex Systems[M]. Beijing: Science Press, 2005.
[13]	LI J, CHENG C, ZHANG Z, et al. The EMMS model-its application, development and updated concepts[J]. Chemical Engineering Science, 1999, 54(22): 5409-5425.
[14]	AGRAWAL K, LOEZOS P N, SYAMLAL M, et al. The role of meso-scale in rapid gas-solid flows[J]. Journal of Fluid Mechanics, 2001, 445: 151-185.
[15]	杨宁.非均匀气固两相流动的计算机模拟-多尺度方法与双流体模型的结合[D]. 北京: 中国科学院过程工程研究所, 2003. YANG N. Computer simulation of heterogeneous gas-solid two-phase flow-Integration of two-fluid models with multi-scale methodology[D]. Beijing: Institute of Process Engineering, Chinese Academy of Sciences, 2003.
[16]	YANG N, WANG W, GE W, et al. Simulation of heterogeneous structure in a circulating fluidized-bed riser by combining the two-fluid model with the EMMS approach[J]. Industrial & Engineering Chemistry Research, 2004, 43(18): 5548-5561.
[17]	YANG N, WANG W, GE W, et al. CFD simulation of concurrent-up gas-solid flow in circulating fluidized beds with structure-dependent drag coefficient[J]. Chemical Engineering Journal, 2003, 96(1/2/3): 71-80.
[18]	YANG N, CHEN J, ZHAO H, et al. Explorations on the multi-scale flow structure and stability condition in bubble columns[J]. Chemical Engineering Science, 2007, 62(24): 6978-6991.
[19]	CHEN J, YANG N, GE W, et al. Modeling of regime transition in bubble columns with stability condition[J]. Industrial & Engineering Chemistry Research, 2009, 48(1): 290-301.
[20]	YANG N, CHEN J, GE W, et al. A conceptual model for analyzing the stability condition and regime transition in bubble columns[J]. Chemical Engineering Science, 2010, 65(1): 517-526.
[21]	WANG Y, XIAO Q, YANG N, et al. In-depth exploration of the Dual-Bubble-Size model for bubble columns[J]. Industrial & Engineering Chemistry Research, 2012, 51(4): 2077-2083.
[22]	CHEN J, YANG N, GE W, et al. Computational fluid dynamics simulation of regime transition in bubble columns incorporating the Dual-Bubble-Size model[J]. Industrial & Engineering Chemistry Research, 2009, 48(17): 8172-8179.
[23]	XIAO Q, YANG N, LI J. Stability-constrained multi-fluid CFD models for gas-liquid flow in bubble columns[J]. Chemical Engineering Science, 2013, 100: 279-292.
[24]	JIANG X, YANG N, LI J. Computational fluid dynamics simulation of hydrodynamics in the riser of an external loop airlift reactor[J]. Particuology, (in press). doi: 10.1016/j.partic.2015.05.011.
[25]	XU T, JIANG X, YANG N, et al. CFD simulation of internal-loop airlift reactor using EMMS drag model[J]. Particuology, 2015, 19: 124-132
[26]	ZHANG Y H, BAI Y L, WANG H L. CFD analysis of inter-phase forces in a bubble stirred vessel[J]. Chemical Engineering Research and Design, 2013, 91(1): 29-35.
[27]	ZHANG D, DEEN N G, KUIPERS J A M. Numerical simulation of the dynamic flow behavior in a bubble column: a study of closures for turbulence and interface forces[J]. Chemical Engineering Science, 2006, 61(23): 7593-7608.
[28]	LU W M, JU S J. Application of hot-film anemometry to air-water flow in aerated stirred tanks[J]. Chemical Engineering Communications, 1987, 56(1-6): 57-75.
[29]	LU W M, JU S J. Local gas holdup, mean liquid velocity and turbulence in an aerated stirred tank using hot-film anemometry[J]. Chemical Engineering Journal, 1987, 35(1): 9-17.
[30]	LEE B W, DUDUKOVIC M P. Determination of flow regime and gas holdup in gas-liquid stirred tanks[J]. Chemical Engineering Science, 2014, 109: 264-275.
[31]	BOMBAC A, ZUN I, FILIPIC B, et al. Gas-filled cavity structures and local void fraction distribution in aerated stirred vessel[J]. AIChE Journal, 1997, 43(11): 2921-2931.
[32]	FORD J J, HEINDEL T J, JENSEN T C, et al. X-ray computed tomography of a gas-sparged stirred-tank reactor[J]. Chemical Engineering Science, 2008, 63: 2075-2085.

基于EMMS模型的搅拌釜内气液两相流数值模拟

Numerical simulation of gas-liquid flow in stirred tanks based on EMMS model

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