Insight into the Mesoscale Slug Characteristics in the Dense Horizontal Pneumatic Conveying Process

被引:0
作者
Chen, Siyuan [1 ]
Yang, Shiliang [1 ]
Wang, Hua [1 ]
机构
[1] Kunming Univ Sci & Technol, State Key Lab Complex Nonferrous Met Resources Cle, Kunming 650093, Yunnan, Peoples R China
关键词
RECTANGULAR SPOUTED BED; FLOW; POROSITY; SIMULATION; PARTICLES; VELOCITY;
D O I
10.1021/acs.iecr.4c03759
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Slug behavior in dense pneumatic conveying affects system stability and efficiency, which raises the urgent need for an in-depth understanding of this phenomenon. This investigation employs computational fluid dynamics coupled with a discrete element method to comprehensively analyze the behavior and properties of slugs and particles within a horizontal dense-phase pneumatic conveying system. Based on the validated model, this study explores slug velocity, volume, particle trajectory, dispersion, and other properties under diverse operating conditions, examining their characteristics and variation patterns. The findings indicate that the superficial gas velocity is a key factor affecting the efficiency of pneumatic conveying. As the superficial gas velocity increases from 8 to 12 m/s, a 53.60% increase in the slug velocity and a 70.12% decrease in the volume are observed at the midpoint of the pipe. Higher particle flow rate significantly increases the slug velocity while reducing the frequency and volume. The particle-scale information has an obvious effect on slug behavior. The lower density of particles makes them more easily caught and discarded by the slugs. Consequently, the maximum dispersion and displacement of foamed polypropylene (FPP) particles reach 1.64 m2/s and 0.30 m, respectively, whereas those of ceramic particles are only 0.71 m2/s and 0.13 m. These findings provide a valuable basis for optimizing the horizontal dense-phase pneumatic conveying system through an in-depth analysis of the slug.
引用
收藏
页码:1809 / 1824
页数:16
相关论文
共 35 条
  • [1] An empirical approach for predicting slug to pseudo-slug transition of air/water upward two-phase flow
    Abdul-Majeed, Ghassan
    Al-Sarkhi, Abdelsalam
    Mohmmed, Abdalellah O.
    Hamoudi, Maha R.
    [J]. EXPERIMENTAL AND COMPUTATIONAL MULTIPHASE FLOW, 2024, 6 (02) : 154 - 169
  • [2] Computational fluid dynamics modeling of gas-solid fluidized bed reactor: Influence of numerical and operating parameters
    Akbari, Vahid
    Borhani, Tohid Nejad Ghaffar
    Shamiri, Ahmad
    Shafeeyan, Mohammad Saleh
    [J]. EXPERIMENTAL AND COMPUTATIONAL MULTIPHASE FLOW, 2024, 6 (02) : 85 - 125
  • [3] Analysis of dense phase pneumatic conveying of fly ash using CFD including particle size distribution
    Alkassar, Yassin
    Agarwal, Vijay K.
    Pandey, R. K.
    Behera, Niranjana
    [J]. PARTICULATE SCIENCE AND TECHNOLOGY, 2021, 39 (03) : 322 - 337
  • [4] CFD modeling and analysis of dense phase pneumatic conveying of fine particles including particle size distribution
    Behera, Niranjana
    Agarwal, Vijay K.
    Jones, Mark G.
    Williams, Kenneth C.
    [J]. POWDER TECHNOLOGY, 2013, 244 : 30 - 37
  • [5] BOURE JA, 1973, NUCL ENG DES, V25, P165, DOI 10.1016/0029-5493(73)90043-5
  • [6] Numerical simulation of the gas-solid flow in three-dimensional pneumatic conveying bends
    Chu, K. W.
    Yu, A. B.
    [J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2008, 47 (18) : 7058 - 7071
  • [7] Particle charging and conveying characteristics of dense-phase pneumatic conveying of pulverized coal under high-pressure by N2/CO2
    Gao, Heming
    Wang, Xiaojuan
    Chang, Qi
    Yan, Kejun
    Liu, Jun
    [J]. POWDER TECHNOLOGY, 2018, 328 : 300 - 308
  • [8] Gidaspow D., 1994, MULTIPHASE FLOW FLUI
  • [9] Effective adjoint approaches for computational fluid dynamics
    Kenway, Gaetan K. W.
    Mader, Charles A.
    He, Ping
    Martins, Joaquim R. R. A.
    [J]. PROGRESS IN AEROSPACE SCIENCES, 2019, 110
  • [10] Klinzing G. E., 2011, PNEUMATIC CONVEYING, V8