脉冲鼓泡床内鼓泡和颗粒混合特性的CFD-DEM数值模拟

doi:10.6040/j.issn.1672-3961.0.2014.235

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

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. 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 Libo^1,2, SHANG Libao², YAN Rixiong³, HE Hailan², ZHAO Hongxia¹, HAN Jitian¹

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/Abstract

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

任立波, 尚立宝, 闫日雄, 何海澜, 赵红霞, 韩吉田. 脉冲鼓泡床内鼓泡和颗粒混合特性的CFD-DEM数值模拟[J]. 山东大学学报(工学版), 2015, 45(2): 62-66.

REN Libo, SHANG Libao, YAN Rixiong, HE Hailan, ZHAO Hongxia, HAN Jitian. CFD-DEM simulation of bubbling and particle mixing properties in pulsed jet fluidized bed[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2015, 45(2): 62-66.

参考文献

[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.

多维度评价

Viewed

Full text

Abstract

Cited

Shared

Discussed

脉冲鼓泡床内鼓泡和颗粒混合特性的CFD-DEM数值模拟

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

PDF (PC)

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 6

多维度评价

本文评价

推荐阅读 10

[1]	王辰龑,刘轩,超木日力格. 自适应的并行天牛须优化算法[J]. 山东大学学报 (工学版), 2024, 54(5): 74-80.
[2]	张翠勋, 曹明见, 杨锋苓. 双层格栅桨搅拌容器内气液两相混合[J]. 山东大学学报 (工学版), 2021, 51(4): 71-76.
[3]	李美婷, 李威, 李晓光, 杨锋苓. 偏心轴搅拌槽内的层流流场特性[J]. 山东大学学报 (工学版), 2019, 49(4): 93-98.
[4]	刘萌,徐陶阳,李常刚,吴越,王智,史方芳,苏建军,张国辉,李宽. 基于粒子群算法的受端电网紧急切负荷优化[J]. 山东大学学报 (工学版), 2019, 49(1): 120-128.
[5]	杨思, 李思童, 张进东, 白羽. 高速光通信激光器带宽模型改进与并行计算优化[J]. 山东大学学报 (工学版), 2019, 49(1): 17-22.
[6]	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.