A numerical study of prediction method for terminal velocity of rising microbubbles in quiescent liquid by simplified rear stagnant cap model

Abstract A simplified rear stagnant cap model is employed to analyze the effect of contaminants on terminal velocity of microbubbles rising in quiescent liquid. A dataset of the terminal velocity of microbubbles rising in liquids is collected to validate the numerical method and evaluate the Hadamard‐Rybczynski (H–R) correlation and Stokes' law. Both the experimental data and numerical results indicate the inescapable effects from inertia and contaminants. The numerical results show that a steep fall in surface tangential velocity ahead of the stagnant cap results in a sharp increase in local pressure and the increase of the drag acting on a rising contaminated bubble. The evaluation work proved the rationality of the Sadhal–Johnson correlation, which realizes a quantitative prediction of the drag coefficients for contaminated microbubbles. Inclusive of both the contamination and inertia effects, prediction correlations of the upper and lower thresholds for normalization in the Sadhal–Johnson correlation are replaced by the Schiller–Naumann correlation and Mei et al. correlation, extending its application range from < 1 to < 100, applicable of predicting terminal rising velocities of microbubbles with maximum diameter around hundreds of microns.

Authors

Institutions

Publication Details

Journal
The Canadian Journal of Chemical Engineering
Published
2025-06-02
DOI
https://doi.org/10.1002/cjce.25775
Primary Topic
Fluid Dynamics and Mixing
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A numerical study of prediction method for terminal velocity of rising microbubbles in quiescent liquid by simplified rear stagnant cap model

Licheng Sun, Yi Feng, Min Du, Xin Xu et al.
The Canadian Journal of Chemical Engineering
Fluid Dynamics and Mixing
article

A numerical study of prediction method for terminal velocity of rising microbubbles in quiescent liquid by simplified rear stagnant cap model

Licheng Sun, Yi Feng, Min Du, Xin Xu, Qiuzhao Zhang, Jiaxin Zheng, Zhengyu Mo, C. Zhu
article en

Abstract

Abstract A simplified rear stagnant cap model is employed to analyze the effect of contaminants on terminal velocity of microbubbles rising in quiescent liquid. A dataset of the terminal velocity of microbubbles rising in liquids is collected to validate the numerical method and evaluate the Hadamard‐Rybczynski (H–R) correlation and Stokes' law. Both the experimental data and numerical results indicate the inescapable effects from inertia and contaminants. The numerical results show that a steep fall in surface tangential velocity ahead of the stagnant cap results in a sharp increase in local pressure and the increase of the drag acting on a rising contaminated bubble. The evaluation work proved the rationality of the Sadhal–Johnson correlation, which realizes a quantitative prediction of the drag coefficients for contaminated microbubbles. Inclusive of both the contamination and inertia effects, prediction correlations of the upper and lower thresholds for normalization in the Sadhal–Johnson correlation are replaced by the Schiller–Naumann correlation and Mei et al. correlation, extending its application range from < 1 to < 100, applicable of predicting terminal rising velocities of microbubbles with maximum diameter around hundreds of microns.

The Canadian Journal of Chemical EngineeringVol. 104(1)
Sichuan University (CN), State Key Laboratory of Hydraulics and Mountain River Engineering
National Natural Science Foundation of China, Natural Science Foundation of Sichuan Province, National Key Research and Development Program of China
Openalex Percentile: Top 89%
Fluid Dynamics and Mixing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.