Simulation and optimization of Venturi type bubble generator to improve cavitation

被引:0
|
作者
Allami, Salehe [1 ]
Lay, Ebrahim Nemati [1 ]
Atharifar, Minou [1 ]
Oudi, Amirhossein [1 ]
机构
[1] Univ Kashan, Fac Engn, Dept Chem Engn, POB 873175-1167, Kashan, Iran
来源
CHEMICAL PRODUCT AND PROCESS MODELING | 2025年 / 20卷 / 01期
关键词
response surface methodology (RSM); box-behnken design (BBD); micro-nanobubbles production; pressure changes in a fluid; cavitation number; BOX-BEHNKEN DESIGN; HYDRODYNAMIC CAVITATION; MICROBUBBLE; PERFORMANCE; DEGRADATION; TECHNOLOGY; PARAMETERS;
D O I
10.1515/cppm-2024-0120
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
This study carried out the simulation and optimization of a Venturi tube with the aim of producing more micro-nanobubbles (MNBs) and preventing their aggregation to increase mass transfer. In the first step, fluid flow in a steady state in a simple Venturi tube was simulated. In the next step, a tube will be added to the throat. The test design will investigate and optimize the effects of three geometrical parameters: length, diameter, and rotation angle of the tube on two responses pressure and velocity in the throat. Also, from the design of the experiment, it was found that the angle of rotation and the diameter of the tube, compared to the length of the tube, have a greater effect on increasing the velocity and reducing the pressure in the throat, and their values were 90 degrees, 1.5 mm, and 5 mm, respectively. From the simulation of the Venturi tube in the second state with the optimal values obtained, a 51 % reduction in the cavitation number was achieved, which has an inverse ratio with the cavitation intensity. In general, with the increase in cavitation intensity, the production of MNBs increases, and their accumulation is minimized.
引用
收藏
页码:159 / 173
页数:15
相关论文
共 50 条
  • [21] Size distribution and Sauter mean diameter of micro bubbles for a Venturi type bubble generator
    Gordiychuk, Andriy
    Svanera, Michele
    Benini, Sergio
    Poesio, Pietro
    EXPERIMENTAL THERMAL AND FLUID SCIENCE, 2016, 70 : 51 - 60
  • [22] Bubble breakup in a swirl-venturi microbubble generator
    Wang, Xinyan
    Shuai, Yun
    Zhang, Haomiao
    Sun, Jingyuan
    Yang, Yao
    Huang, Zhengliang
    Jiang, Binbo
    Liao, Zuwei
    Wang, Jingdai
    Yang, Yongrong
    CHEMICAL ENGINEERING JOURNAL, 2021, 403
  • [23] Bubble Formation in a Swirl-Venturi Microbubble Generator
    Wang, Xinyan
    Shuai, Yun
    Yang, Yao
    Huang, Zhengliang
    Jiang, Binbo
    Wang, Jingdai
    Yang, Yongrong
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2022, 61 (43) : 16291 - 16302
  • [24] An investigation on the bubble transportation of a two-stage series venturi bubble generator
    Ding, Guodong
    Li, Zhenlin
    Chen, Jiaqing
    Cai, Xiaolei
    CHEMICAL ENGINEERING RESEARCH & DESIGN, 2021, 174 : 345 - 356
  • [25] Micro-nano bubbles production using a swirling-type venturi bubble generator
    Wu, Mian
    Yuan, Shiyan
    Song, Haoyuan
    Li, Xiaobing
    CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION, 2022, 170
  • [26] CAVITATION BUBBLE OBSERVATION IN A VENTURI, ESPECIALLY, WITH RESPECT TO STREAMER BUBBLES.
    Ito, Y.
    Oba, R.
    Reports of the Institute High Speed Mechanics, Tohoku University, 1982, 45 : 1 - 18
  • [27] An investigation on the performance of a micro-scale Venturi bubble generator
    Huang, Jiang
    Sun, Licheng
    Du, Min
    Liang, Zhao
    Mo, Zhengyu
    Tang, Jiguo
    Xie, Guo
    CHEMICAL ENGINEERING JOURNAL, 2020, 386 (386)
  • [28] Numerical studies on bubble dynamics in an unsteady turbulence of the venturi bubble generator applied to TMSR
    Song, Yuchen
    Xu, Rui
    Cai, Kangbei
    Yin, Junlian
    Wang, Dezhong
    ANNALS OF NUCLEAR ENERGY, 2021, 160
  • [29] Numerical studies on bubble dynamics in an unsteady turbulence of the venturi bubble generator applied to TMSR
    Song, Yuchen
    Xu, Rui
    Cai, Kangbei
    Yin, Junlian
    Wang, Dezhong
    Annals of Nuclear Energy, 2021, 160
  • [30] Cavitation intensity prediction and optimization for a Venturi cavitation reactor using deep learning
    You, Weibin
    Liu, Teng
    Manickam, Sivakumar
    Wang, Jilai
    Wang, Wenlong
    Sun, Xun
    PHYSICS OF FLUIDS, 2024, 36 (11)