Numerical evaluation of virtual mass force coefficient of single solid particles in acceleration
Fluid Dynamics and Transport Phenomena|Updated:2026-01-06
|
Numerical evaluation of virtual mass force coefficient of single solid particles in acceleration
Chinese Journal of Chemical EngineeringVol. 41, Issue 1, Pages: 210-219(2022)
Affiliations:
1. CAS Key Laboratory of Green Process and Engineering, Institute of Process Engineering, Chinese Academy of Sciences,Beijing,China,100190
2. School of Chemical Engineering, University of Chinese Academy of Sciences,Beijing,China,100049
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Funds:
DOI:
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Published:2022
Accepted:
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Zai-Sha Mao, Chao Yang. Numerical evaluation of virtual mass force coefficient of single solid particles in acceleration[J]. Chinese Journal of Chemical Engineering, 2022, 41(1): 210-219.
DOI:
Zai-Sha Mao, Chao Yang. Numerical evaluation of virtual mass force coefficient of single solid particles in acceleration[J]. Chinese Journal of Chemical Engineering, 2022, 41(1): 210-219.DOI:
Numerical evaluation of virtual mass force coefficient of single solid particles in acceleration
Virtual mass force is an indispensable component in the momentum balance involved with dispersed particles in a multiphase system. In this work the accelerating motion of a single solid particle is mathematically formulated and solved using the vorticity-stream function formulation in an orthogonal curvilinear coordinate system. The total drag coefficient was evaluated from the numerical simulation in a range of the Reynolds number (
Re
) from 10 to 200 and the dimensionless acceleration (
A
) between 2.0 to 2.0. The simulation demonstrates that the total drag is heavily correlated with
A
and large deceleration even drops the drag force to a negative value. It is found that the value of virtual mass force coefficient (
C
V
) of a spherical particle is a variable in a wide range and difficult to be correlated with
A
and
Re
. However
the total drag coefficient (
C
DV
) is successfully correlated as a function of
Re
and
A
and it increases as
A
is increased. The proposed correlation of total drag coefficient may be used for simulation of solid–liquid flow with better accuracy.
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