基于MP-PIC方法改进EMMS/DP曳力模型

doi:10.12034/j.issn.1009-606X.218115

过程工程学报 ›› 2018, Vol. 18 ›› Issue (6): 1187-1197.DOI: 10.12034/j.issn.1009-606X.218115

基于MP-PIC方法改进EMMS/DP曳力模型

王晓赞^1,2，姜勇^1,2，李飞^1*，王维^1,2

1. 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 2. 中国科学院大学化工学院，北京 100049

收稿日期:2018-01-15 修回日期:2018-03-29 出版日期:2018-12-22 发布日期:2018-12-19
通讯作者: 李飞 lifei@ipe.ac.cn
基金资助:
国家重点研发计划;国家自然科学基金资助项目;国家自然科学基金资助项目

Improvement of EMMS/DP drag model based on MP-PIC method

Xiaozan WANG^1,2, Yong JIANG^1,2, Fei LI^1*, Wei WANG^1,2

1. State Key Laboratory of Multiphase Complicated Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China 2. School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

Received:2018-01-15 Revised:2018-03-29 Online:2018-12-22 Published:2018-12-19
Supported by:
;The National Natural Science Foundation of China;The National Natural Science Foundation of China

摘要/Abstract

摘要： 改进了面向离散粒子法的能量最小多尺度曳力模型(EMMS/DP)的颗粒参数生成方式，并将非均匀因子(HD)与固相浓度和滑移速度关联以考虑介尺度结构动态效应的影响，用改进的EMMS/DP模型与多相流质点网格模型(MP-PIC)耦合模拟气固两相流提升管系统，模拟结果与实验值吻合很好，考察了MP-PIC方法的网格无关性和粗粒化模型参数.

关键词: 关键词：EMMS/DP, MP-PIC, 非均匀曳力模型, 气固流态化, 数值模拟

Abstract: The energy minimization multi-scale drag model for discrete particle method (EMMS/DP) is a heterogeneous drag model applicable for discrete particle simulations. Particles distribute heterogeneously in circulating fluidized bed (CFB) flows due to clustering effect. Discrete particle method can provide detailded particle distributon information including particle position and particle velocity, but need assume evenly gas distribution inside computational cells. The inconsistence between particle field resolution and gas flow field resolution can lead to deviation between simulation result and actual measurement for heterogeneous gas?solid flows. To solve this problem, EMMS theory is applied to resolve the flow field around particles by accounting for the existence of particle clusters. Subsequently the heterogeneous drag force as well as the heterogeneous index (HD) are calculated based on the decomposed flow field to close the the interphase interaction terms in gas and particle momentum equations. Since the online calculation of EMMS/DP drag is very time consuming in real simulations, a predifined gas?solid flow field is applied to generate the HD database. The generated HD database can be used directly in discrete particle simulations thereafter, but will not increase computation load significantly. The current work improves the generating method of predifiend gas?solid flow field by taking consideration of the inhomogensou particles distributtion. In this work, HD was correlated with solid concentration and slip velocity based on the generated HD database to account for the dynamic effects of meso-scale structures. A comparison between HD at particle sacle and HD at computational cell scale was illustrated. The improved EMMS/DP drag model coupling with the multi-phase particles in cell (MP-PIC) method was used to simulate the gas?solid two phase flows in two CFB risers to verify the model. The simulation results were in good agreement with the experimental data. The grid-independence and effect of the coarse grained model parameter for MP-PIC on simulation results were also studied.

Key words: Key words: EMMS/DP, MP-PIC, heterogeneous drag model, gas-solid fluidization, numerical simulation

王晓赞姜勇李飞王维. 基于MP-PIC方法改进EMMS/DP曳力模型[J]. 过程工程学报, 2018, 18(6): 1187-1197.

Xiaozan WANG Yong JIANG Fei LI Wei WANG. Improvement of EMMS/DP drag model based on MP-PIC method[J]. Chin. J. Process Eng., 2018, 18(6): 1187-1197.

参考文献

[1]杨宁, 李静海.化学工程中的介尺度科学与虚拟过程工程:分析与展望[J].化工学报, 2014, 65(7):2403-9 [2]Yang N, Li J H.Mesoscience in chemical engineering and virtual process engineering: analysis and perspective[J].CIESC Journal, 2014, 65(7):2403-9 [3]Anderson T B, Jackson R.Fluid Mechanical Description of Fluidized BedsComparison of Theory and Experiment[J].Industrial & Engineering Chemistry Fundamentals, 1967, 6(1):137-44 [4]Tsuji Y, Kawaguchi T, Tanaka T.Discrete particle simulation of two-dimensional fluidized bed[J].Powder Technology, 1993, 77(1):79-87 [5]Tsuji Y, Tanaka T, Yonemura S.Cluster patterns in circulating fluidized beds predicted by numerical simulation (discrete particle model versus two-fluid model)[J].Powder Technology, 1998, 95(3):254-64 [6]Scardovelli R, Zaleski S.Direct Numerical Simulation of Free-Surface and Interfacial Flow[J].Annual Review of Fluid Mechanics, 2003, 31(1):567-603 [7]Li J, Cheng C, Zhang Z, et al.The EMMS model — its application,development and updated concepts[J].Chemical Engineering Science, 1999, 54(22):5409-25 [8]Wen C Y, Yu Y H.Mechanics of Fluidization[J].Chemengng Progsympser, 1966, 62(1):100-111 [9]Ergun S.Fluid flow through packed columns[J].Chemengprog, 1952, 48(2):89-94 [10]李静海.颗粒流体复杂系统的多尺度模拟 [M]. 科学出版社, 2005:88-101. [11]Li J H.Multi-Scale Simulation of Particle-Fluid Complex Systems [M]. Science Press, 2005:88-101. [12]肖海涛, 祁海鹰, 由长福, 等.一个气固两相流动阻力的新模型[J].化工学报, 2003, 54(3):311-5 [13]Xiao H T, Qi H Y, You C F.Theoretical Model of Drag Between Gas and Solid Phase[J].Journal of Chemical Industry and Engineering, 2003, 54(3):311-5 [14]Wei G, Li J.Physical mapping of fluidization regimes—the EMMS approach[J].Chemical Engineering Science, 2002, 57(18):3993-4004 [15]Ning Y, Wei W, Wei G, 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):5548-61 [16]Wang W, Li J.Simulation of gas–solid two-phase flow by a multi-scale CFD approach—of the EMMS model to the sub-grid level[J].Chemical Engineering Science, 2007, 62(1-2):208-31 [17]Lu B, Wang W, Li J.Searching for a mesh-independent sub-grid model for CFD simulation of gas–solid riser flows[J].Chemical Engineering Science, 2009, 64(15):3437-47 [18]Li F, Song F, Benyahia S, et al.MP-PIC simulation of CFB riser with EMMS-based drag model(-13.[J].Chemical Engineering Science, 2012, 82(1):104-113 [19]Xu M, Ge W, Li J.A discrete particle model for particle–fluid flow with considerations of sub-grid structures[J].Chemical Engineering Science, 2007, 62(8):2302-8 [20]Gingold R A, Monaghan J J.Smoothed particle hydrodynamics: theory and application to non-spherical stars[J].Monthly Notices of the Royal Astronomical Society, 1977, 181(3):375-89 [21]Lucy L B.Numerical approach to testing of fission hypothesis.[J].Astronomical Journal, 1977, 82(1):1013-1024 [22]宋飞飞.基于介尺度结构的颗粒流体两相流离散模拟方法[D]. 北京：中国科学院大学过程工程研究所, 2014:31-38. [23]Song F F.Towards Meso-Scale Structure Based Discrete Particle Method for Particle-Fluid Two-Phase Flow [D], Beijing: Institute of Process Engineering, University of Chinese Academy of Sciences, 2014:31-38. [24]Andrews M J, O' Rourke P J.The multiphase particle-in-cell (MP-PIC) method for dense particulate flows[J].International Journal of Multiphase Flow, 1996, 22(2):379-402 [25]Snider D M.An Incompressible Three-Dimensional Multiphase Particle-in-Cell Model for Dense Particle Flows[J].Journal of Computational Physics, 2001, 170(2):523-49 [26]Benyahia S, Sundaresan S.Do we need sub-grid scale corrections for both continuum and discrete gas-particle flow models?[J].Powder Technology, 2012, 220(11):2-6 [27]Auzerais F M, Jackson R, Russel W B.The resolution of shocks and the effects of compressible sediments in transient settling[J].Journal of Fluid Mechanics, 2006, 195(195):437-62 [28]Morris J P, Fox P J, Zhu Y.Modeling low Reynolds number incompressible flows using SPH[J].Journal of Computational Physics, 1997, 136(1):214-26 [29]Zou B, Li H, Xia Y, et al.Cluster structure in a circulating fluidized bed[J].Powder Technology, 1994, 78(2):173-8 [30]Wang J, Ge W, Li J.Eulerian simulation of heterogeneous gas–solid flows in CFB risers: EMMS-based sub-grid scale model with a revised cluster description[J].Chemical Engineering Science, 2008, 63(6):1553-71 [31]Horio M, Morishita K, Tachibana O, et al.Solid Distribution and Movement in Circulating Fluidized Beds, F, 1988 [C]. [32]Li J, Ge W, Zhang J, et al.Multi-Scale Compromise and Multi-Level Correlation in Complex Systems[J].Chemical Engineering Research and Design, 2005, 83(6):574-82 [33]Wang W, Lu B, Zhang N, et al.A review of multiscale CFD for gas–solid CFB modeling[J].International Journal of Multiphase Flow, 2010, 36(2):109-18 [34]Milioli C C, Milioli F E, Holloway W, et al.Filtered two-fluid models of fluidized gas-particle flows: New constitutive relations[J].AIChE Journal, 2013, 59(9):3265-75 [35]Weller H G, Tabor G, Jasak H, et al.A tensorial approach to computational continuum mechanics using object-oriented techniques[J].Computers in Physics, 1998, 12(6):620-31

基于MP-PIC方法改进EMMS/DP曳力模型

Improvement of EMMS/DP drag model based on MP-PIC method

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