NUMERICAL PREDICTION OF SIZE DISTRIBUTION OF MICROBUBBLES IN WATER WITH MASS TRANSFER

被引:0
|
作者
Li Y. [1 ]
Hosokawa S. [2 ]
Hayashi K. [1 ]
Tomiyama A. [1 ]
Maeda Y. [3 ]
机构
[1] Department of Mechanical Engineering, Graduate School of Engineering, Kobe University, 1–1 Rokkodai, Nada, Kobe
[2] Faculty of Societal Safety Sciences, Kansai University, 7–1 Hakubai, Takatsuki, Osaka
[3] Housing Systems Business Group, Panasonic Corporation, 1048 Kadoma, Osaka
关键词
bubble diameter; diameter change; mass transfer; microbubble; pressurized dissolution method;
D O I
10.1615/MultScienTechn.2023050883
中图分类号
学科分类号
摘要
It has been reported that the diameter and the number density of microbubbles would change in time due to mass transfer between bubbles and surrounding liquid. However, few numerical studies have been conducted on the time evolution of diameters of single microbubbles or groups of microbubbles due to mass transfer. Numerical simulations based on the Rayleigh–Plesset equation were therefore carried out to investigate the time evolution of bubble diameter and the mass transfer of dissolved gas between bubbles and water in microbubble flow in a duct. As a result, the following conclusions were obtained: (1) the present numerical method can accurately predict the growth and shrinkage of a single microbubble. (2) Microbubbles in a flow usually have size distribution, in which bubbles larger and smaller than the equilibrium diameter become larger and smaller in time, respectively. Thus, the size distribution changes in time. (3) The proposed numerical method can reasonably predict time evolutions of bubble size distributions, void fractions, and concentrations of dissolved gas, provided that a reliable initial condition is available. © 2024 by Begell House, Inc. www.begellhouse.com.
引用
收藏
页码:41 / 54
页数:13
相关论文
共 50 条
  • [1] Numerical investigation of the effect of size distribution on the frequency response of encapsulated microbubbles
    Mahdi M.
    Shariatnia M.
    Rahimi M.
    Journal of Computational and Applied Research in Mechanical Engineering, 2023, 13 (01): : 89 - 101
  • [2] Mass transfer between microbubbles
    Yang, Yuqi
    Biviano, Matthew D.
    Guo, Jixiang
    Berry, Joseph D.
    Dagastine, Raymond R.
    JOURNAL OF COLLOID AND INTERFACE SCIENCE, 2020, 571 (571) : 253 - 259
  • [3] Controlling size and size distribution of electrohydrodynamically prepared microbubbles
    Farook, U.
    Stride, E.
    Edirisinghe, M.J.
    Bubble Science, Engineering and Technology, 2009, 1 (1-2) : 53 - 57
  • [4] Numerical Estimation of the Heat and Mass Transfer Efficiency Considering Nonuniformity in Water and Air Distribution
    E. A. Lapteva
    E. Yu. Stolyarova
    A. G. Laptev
    Thermal Engineering, 2020, 67 : 234 - 240
  • [5] Numerical Estimation of the Heat and Mass Transfer Efficiency Considering Nonuniformity in Water and Air Distribution
    Lapteva, E. A.
    Stolyarova, E. Yu
    Laptev, A. G.
    THERMAL ENGINEERING, 2020, 67 (04) : 234 - 240
  • [6] Numerical simulation of mass transfer for bubbles in water
    Ponoth, SS
    McLaughlin, JB
    CHEMICAL ENGINEERING SCIENCE, 2000, 55 (07) : 1237 - 1255
  • [7] Mass Prediction of Various Water Cluster Ions for an Accurate Measurement of Aerosol Particle Size Distribution
    Jung, Jong Hwan
    Lee, Hye Moon
    Song, Dong Keun
    Kim, Tae Oh
    JOURNAL OF KOREAN SOCIETY FOR ATMOSPHERIC ENVIRONMENT, 2007, 23 (06) : 752 - 759
  • [8] Size distribution of microbubbles as a function of shell composition
    Dicker, Stephen
    Mleczko, Michal
    Schmitz, Georg
    Wrenn, Steven P.
    ULTRASONICS, 2013, 53 (07) : 1363 - 1367
  • [9] Microbubbles, oscillating flow, and mass transfer coefficients in air-water bubble columns
    Levitsky, Inna
    Tavor, Dorith
    Gitis, Vitaly
    JOURNAL OF WATER PROCESS ENGINEERING, 2022, 49
  • [10] Numerical prediction of grain size distribution for hot forging processes
    Yoshino, M
    Futamura, M
    Shiraishi, T
    SIMULATION OF MATERIALS PROCESSING: THEORY, METHODS AND APPLICATIONS, 2001, : 251 - 256