Viscosity prediction of agglomerative slurries with particle size distribution

被引:5
|
作者
Usui, H [1 ]
Kishimoto, K [1 ]
Suzuki, H [1 ]
机构
[1] Kobe Univ, Dept Sci & Chem Engn, Kobe, Hyogo 6578501, Japan
关键词
rheology; suspension; agglomeration; thixotropy; particle size distribution;
D O I
10.1252/kakoronbunshu.26.423
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
A thixotropy model is developed for the prediction of the viscosity of silica suspensions. The model can be applied for the prediction of non-Newtonian viscosity of agglomerative suspensions with particle size distribution. Since the model assumed that the particle shape was spherical, a mixture of mono-modal spherical silica particles was used to prepare the concentrated suspensions. Viscosity measurement results have proved that the present model was able to predict the non-Newtonian suspension viscosity under steady simple shear flow conditions, although more discussion on the physical meaning of inter-particle bonding energy was needed. The applicability of the present model must be checked for the suspensions prepared using non-spherical particles with particle size distribution in the future.
引用
收藏
页码:423 / 430
页数:8
相关论文
共 50 条
  • [41] EFFECT OF VISCOSITY RATIO, MUD/MUC, ON PARTICLE-SIZE DISTRIBUTION IN EMULSIONS
    TSUKIYAMA, S
    TAKAMURA, A
    FUKUDA, Y
    KOISHI, M
    BULLETIN OF THE CHEMICAL SOCIETY OF JAPAN, 1975, 48 (12) : 3561 - 3564
  • [42] Effect of particle size distribution and shear rate on relative viscosity of concentrated suspensions
    Yankai Liu
    Qingsong Zhang
    Rentai Liu
    Rheologica Acta, 2021, 60 : 763 - 774
  • [43] Effect of particle size distribution and shear rate on relative viscosity of concentrated suspensions
    Liu, Yankai
    Zhang, Qingsong
    Liu, Rentai
    RHEOLOGICA ACTA, 2021, 60 (12) : 763 - 774
  • [44] On the Use of Particle-Size-Distribution Data for Permeability Prediction
    Babak, Olena
    Resnick, Jonah
    SPE RESERVOIR EVALUATION & ENGINEERING, 2016, 19 (01) : 163 - 180
  • [45] Establishment and prediction of particle size distribution model for impact crushing
    Zhou W.-T.
    Han Y.-X.
    Li Y.-J.
    Sun Y.-S.
    Yang J.-L.
    Ma S.-J.
    Zhongguo Youse Jinshu Xuebao/Chinese Journal of Nonferrous Metals, 2019, 29 (06): : 1316 - 1323
  • [46] Prediction of Aerosol Particle Size Distribution Based on Neural Network
    Ren, Yali
    Mao, Jiandong
    Zhao, Hu
    Zhou, Chunyan
    Gong, Xin
    Rao, Zhimin
    Wang, Qiang
    Zhang, Yi
    ADVANCES IN METEOROLOGY, 2020, 2020
  • [47] Prediction of the particle size distribution in continuous flow particulate processes
    Roussos, AI
    Alexopoulos, AH
    Kiparissides, C
    EUROPEAN SYMPOSIUM ON COMPUTER-AIDED PROCESS ENGINEERING - 14, 2004, 18 : 787 - 792
  • [48] Research on prediction model of ore grinding particle size distribution
    Wentao, Zhou
    Yuexin, Han
    Yanjun, Li
    Jinlin, Yang
    Shaojian, Ma
    Yongsheng, Sun
    JOURNAL OF DISPERSION SCIENCE AND TECHNOLOGY, 2020, 41 (04) : 537 - 546
  • [49] Effect of coal particle size distribution, volume fraction and rank on the rheology of coal-water slurries
    Boylu, F
    Dinçer, H
    Atesok, G
    FUEL PROCESSING TECHNOLOGY, 2004, 85 (04) : 241 - 250
  • [50] Characterization of particle size distribution of coal-water slurries with non-destructive ultrasonic method
    Hu, Jian
    Su, Mingxu
    Cai, Xiaoshu
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2011, 31 (SUPPL. 1): : 181 - 186