您的位置:山东大学 -> 科技期刊社 -> 《山东大学学报(工学版)》

山东大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (2): 62-66.doi: 10.6040/j.issn.1672-3961.0.2014.235

• 能源与动力工程 • 上一篇    下一篇

脉冲鼓泡床内鼓泡和颗粒混合特性的CFD-DEM数值模拟

任立波1,2, 尚立宝2, 闫日雄3, 何海澜2, 赵红霞1, 韩吉田1   

  1. 1. 山东大学能源与动力工程学院, 山东 济南 250061;
    2. 上海板换机械设备有限公司, 上海 201508;
    3. 中国寰球工程公司, 北京 100012
  • 收稿日期:2014-08-26 修回日期:2015-01-04 出版日期:2015-04-20 发布日期:2014-08-26
  • 通讯作者: 韩吉田(1961-),男,山东莱阳人,教授,博导,主要研究方向为多相流与传热.E-mail:jthan@sdu.edu.cn E-mail:jthan@sdu.edu.cn
  • 作者简介:任立波(1983-),男,山东寿光人,博士研究生,主要研究方向为气固两相流.E-mail:by101010@163.com
  • 基金资助:
    国家自然科学基金资助项目(51076084, 51306104)

CFD-DEM simulation of bubbling and particle mixing properties in pulsed jet fluidized bed

REN Libo1,2, SHANG Libao2, YAN Rixiong3, HE Hailan2, ZHAO Hongxia1, HAN Jitian1   

  1. 1. School of Energy and Power Engineering, Shandong University, Jinan 250061, Shandong, China;
    2. Shanghai Heat Transfer Equipment Limited Company, Shanghai 201508, China;
    3. China Huanqiu Contracting & Engineering Corporation, Beijing 100012, China
  • Received:2014-08-26 Revised:2015-01-04 Online:2015-04-20 Published:2014-08-26

摘要: 基于FLUENT软件信息传递模式的MPI(message passing interface)并行计算平台,通过用户自定义函数(user-defined functions, UDFs)文件发展一种拟三维颗粒的计算流体力学(computational fluid dynamics, CFD)-离散单元法(discrete element method, DEM)耦合并行算法。采用该算法数值模拟了脉冲鼓泡床内气固两相流动,揭示了气相鼓泡特性和颗粒混合机制。数值模拟结果表明:该算法具有随计算节点数增加的良好扩展性能和加速性能;在鼓泡过程中,主流两侧的小尺度气流涡逐渐发展为双主涡;单气泡通过床层后,颗粒混合仅局限于射流触及区域;数值模拟结果与相关试验和数值模拟结果吻合较好,表明该并行算法能够较好的模拟稠密颗粒气固两相流中鼓泡和颗粒混合特性,为其在大规模并行集群上的应用奠定基础。

关键词: 鼓泡, 离散单元法, 颗粒混合, 并行计算, 计算流体力学

Abstract: Based on the MPI (Message Passing Interface) platform of FLUENT software, the parallel simulation technique for pseudo three-dimension computational fluid dynamics-discrete element method (CFD-DEM) coupling model was developed through the user-defined functions (UDFs). Numerical simulation of the gas-solid flow in pulsed jet fluidized bed was conducted by the developed parallel CFD-DEM coupling model, and the bubbling properties for the gas phase and particle mixing properties were revealed. Simulation results showed that the developed parallel CFD-DEM coupling model could have good scalability and speeded-up performance with increase in the number of computing nodes. Small-scale vortices on both sides of the mainstream gradually evolved into two main vortices in the bubbling processes. The particle mixing only occurred in the jet-influenced region after a single bubble had passed through the bed. The simulation results accorded well with the related experimental and simulation results, which showed that this model could well simulate the bubbling and particle mixing properties in dense particulate flows, laying the foundation for the implementation of the model in massively cluster systems.

Key words: parallel computing, discrete element method, bubbling, computational fluid dynamics, particle mixing

中图分类号: 

  • TK121
[1] SU Junwei, GU Zhaolin, XU Xiao Yun. Discrete element simulation of particle flow in arbitrarily complex geometries[J]. Chemical Engineering Science, 2011, 66(23):6069-6088.
[2] LUO Kun, YANG Shiliang, FANG Mingming, et al. Particle dispersion and circulation patterns in a 3D spouted bed with or without draft tube[J]. Industrial & Engineering Chemistry Research, 2013, 52(28):9620-9631.
[3] YANG Shiliang, LUO Kun, FAN Jianren, et al. Particle-scale investigation of the hydrodynamics and tube erosion property in a three-dimensional (3-D) bubbling fluidized bed with immersed tubes[J]. Industrial & Engineering Chemistry Research, 2014, 53(17):6896-6912.
[4] LIU G Q, Li S Q, ZHAO X L, et al. Experimental studies of particle flow dynamics in a two-dimensional spouted bed[J]. Chemical Engineering Science, 2008, 63(4):1131-1141.
[5] ZHANG Yong, JIN Baosheng, ZHONG Wenqi. Experiment on particle mixing in flat-bottom spout-fluid bed[J]. Chemical Engineering and Processing: Process Intensification, 2009, 48(1):126-134.
[6] ZHAO X L, LI S Q, LIU G Q, et al. DEM simulation of the particle dynamics in two-dimensional spouted beds[J]. Power Technology, 2008, 184(2):205-213.
[7] LIU Daoyin, CHEN Xiaoping, ZHOU Wu, et al. Simulation of char and propane combustion in a fluidized bed by extending DEM-CFD approach[J]. Proceedings of the Combustion Institute, 2011, 33(2):2701-2708.
[8] RONG Liangwan, ZHAN Jiemin. Improved DEM-CFD model and validation: a conical-base spouted bed simulation study[J]. Journal of Hydrodynamics, 2010, 22(3):351-359.
[9] WU C L, ZHAN J M, LI Y S, et al. Dense particulate flow model on unstructured mesh[J]. Chemical Engineering Journal, 2006, 61(17):5726-5741.
[10] RONG Degang, HORIO Masayuki. Behavior of particles and bubbles around immersed tubes in a fluidized bed at high temperature and pressure: a DEM simulation[J]. International Journal of Multiphase Flow, 2001, 27(1):89-105.
[11] ZHU R R, ZHU W B, XING L C, et al. DEM simulation on particle mixing in dry and wet particles spouted bed[J]. Powder Technology, 2011, 210(1):73-81.
[12] YANG Shiliang, LUO Kun, FANG Mingming, et al. Influences of operating parameters on the hydrodynamics of a 3-D spout-fluid bed based on DEM modeling approach[J]. Chemical Engineering Journal, 2014, 247(1):161-173.
[13] NASTUI Shungo, UEDA Shigeru, NOGAMI Hiroshi, et al. Gas-solid flow simulation of fines clogging a packed bed using DEM-CFD[J]. Chemical Engineering Science, 2012, 71(26):274-282.
[14] KAFUI D K, JOHNSON S, THORNTON C, et al. Parallelization of a lagrangian-eulerian DEM/CFD code for application to fluidized beds[J]. Powder Technology, 207(1-3):270-278.
[15] ZHAO Yongzhi, JIANG Maoqiang, LIU Yanlei, et al. Particle-scale simulation of the flow and heat transfer behaviors in fluidized bed with immersed tube[J]. AIChE Journal, 2009, 55(12):3109-3124.
[16] WU C L, BERROU A S, NANDAKUMAR K. Three-dimensional discrete particle model for gas-solid fluidized beds on unstructured mesh[J]. Chemical Engineering Journal, 2009, 152(2):514-529.
[17] 杨春振, 段钰锋, 孙荣峰, 等. 埋管流化床颗粒流动行为的数值模拟[J]. 化工学报, 2013, 64(8):2788-2792. YANG Chunzhen, DUAN Yufeng, SUN Rongfeng, et al. Numerical stydy of solids behavior in fluidized bed with multi-immersed tubes[J]. Journal of Chemical Industry and Engineering, 2013, 64(8):2788-2792.
[18] 任立波, 韩吉田. 基于CFD-DEM耦合并行算法的锥形喷动床内离散颗粒数值模拟[J]. 东南大学学报:自然科学版, 2014, 44(5):993-998. REN Libo, HAN Jitian. Numerical simulation of discrete particles in conical-base spouted bed based on parallel coupled CFD-DEM mode[J]. Journal of Southeast University:Natural Science Edition, 2014, 44(5):993-998.
[19] BOKKERS G A, ANNALAND M Van Sint, KUIPERS J A M. Mixing and segregation in a bidisperse gas—solid fluidised bed: a numerical and experimental study[J]. Powder Technology, 2004, 140(3):176-186.
[20] LIU Daoyin, BU Changsheng, CHEN Xiaoping. Development and test of CFD—DEM model for complex geometry: a coupling algorithm for Fluent and DEM[J]. Computers & Chemical Engineering, 2013, 58(11):260-268.
[1] 王会青,孙宏伟,张建辉. 基于Map/Reduce的时间序列相似性搜索算法[J]. 山东大学学报(工学版), 2016, 46(1): 15-21.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!