Abstract
A swirl flow bubble generator with a unique adjustment scheme was developed to adapt to liquid feed flow rate variation. However, a study on the scheme and flow field of the bubble generator has not been reported in the literature. Particle image velocimetry and computational fluid dynamics were utilized to explore the flow field and adjustment scheme. The results showed that the standard k-ε model could more accurately describe the flow pattern than other turbulence models, and the pressure drop difference between experiments and simulations was less than 6%. A mathematical expression was established to quantitatively describe the relationship among the pressure drop, open hole number, and liquid flow rate. The pressure drop was proportional to the feed flow rate or inlet velocity square and inversely proportional to the power of 1.86 of the open hole number. Interestingly, the pressure drop of different open hole schemes with the same open hole number of 12 was close to 55 kPa. The spiral-bottom open hole schemes could provide a higher turbulent dissipation rate for both the vortex chamber and straight pipe section. This work can guide the bubble generator adjustment and fill the gap in this respect.
Similar content being viewed by others
Abbreviations
- 3D:
-
three-dimensional
- CAD:
-
computer aided design
- CCD:
-
charge coupled device
- CFD:
-
computational fluid dynamics
- CWT:
-
clean water technology
- ICEM:
-
Integrated computer engineering and manufacturing
- PBM:
-
population balance model
- PISO:
-
pressure-implicit with splitting of operators
- PIV:
-
particle image velocimetry
- PRESTO:
-
pressure staggering option
- QUICK:
-
quadratic upstream interpolation for convective kinematics
- RANS:
-
Reynolds averaged Navier-Stokes
- RNG:
-
renormalization group
- RSM:
-
Reynolds stress model
- SCDM:
-
SpaceClaim direct modeler
- SST:
-
shear stress transport
- A:
-
constant of proportional [-]
- a, b:
-
model parameters [-]
- d:
-
hole diameter [m]
- Dci :
-
internal diameter of cavity [m]
- Dco :
-
outer diameter of cavity [m]
- Dia :
-
inlet diameter for gas phase [m]
- Dil :
-
inlet diameter for liquid phase [m]
- DMax :
-
maximum stable bubble diameter [m]
- Do :
-
diameter of vortex chamber and straight pipe section [m]
- \(\rm{D}_{T_{ij}}\) :
-
turbulent diffusion term in Reynolds Stress Model [kg/m/s3]
- Eij :
-
time-averaged strain rate [1/s]
- Fij :
-
production of system rotation term in Reynolds Stress Model [kg/m/s3]
- Gk :
-
generation term of turbulent kinetic energy resulting from the mean velocity gradient [kg/m/s3]
- Gω :
-
generation term of specific dissipation rate [kg/m3/s2]
- H:
-
total height [m]
- h:
-
height of the vortex chamber [m]
- k:
-
proportional coefficient (—) or turbulent kinetic energy [m2/s2]
- N:
-
open hole number [-]
- p:
-
pressure [Pa]
- Pij :
-
stress production term in Reynolds Stress Model [kg/m/s3]
- Q:
-
Q criterion [1/s2]
- Qlf :
-
liquid feed flow rate [m3/s]
- r:
-
radial position [m]
- R:
-
radius [m]
- S:
-
spiral open hole scheme [-]
- t:
-
time [s]
- u:
-
velocity [m/s]
- u0 :
-
liquid inlet velocity [m/s]
- x:
-
space coordinate [m]
- Yk :
-
dissipation of turbulent kinetic energy due to turbulence [kg/m/s3]
- Yω :
-
dissipation of specific dissipation rate due to turbulence [kg/m3/s2]
- Z:
-
axial position [m]
- ΔP:
-
pressure drop [Pa]
- α :
-
inclination angle of the holes [o]
- ε :
-
turbulent dissipation rate [m2/s3]
- ε ij :
-
dissipation term in Reynolds Stress Model [kg/m/s3]
- θ :
-
angle of hole arrangement [o]
- μ :
-
viscosity [Pa·s]
- μ t :
-
turbulent viscosity [Pa·s]
- ρ :
-
density [kg/m3]
- σ :
-
surface tension [N/m]
- σ k :
-
Prandtl number for turbulent kinetic energy k
- σ ε :
-
Prandtl number for turbulent dissipation rate ε
- ω :
-
specific dissipation rate [1/s]
- ω k :
-
angular velocity [1/s]
- \(\tilde{\Omega}_{ij}\) :
-
mean rate-of-rotation tensor [1/s]
- φ ij :
-
pressure strain term in Reynolds Stress Model [kg/m/s3]
References
H. X. Xu, J. T. Liu, L. H. Gao, Y. T. Wang, X. W Deng and X. B. Li, Sep. Sci. Technol., 49, 1170 (2014).
X. L. Cai, J. Q. Chen, M. L. Liu, Y. P. Ji and S. An, Sep. Purif. Technol., 176, 134 (2017).
J. Saththasivam, K. Loganathan and S. Sarp, Chemosphere, 144, 671 (2016).
Q. Huang and X. Y. Long, Energies, 13, 927 (2020).
Y. R. Feng, H. F. Mu, X. Liu, Z. L. Huang, H. M. Zhang, J. D. Wang and Y. R. Yang, Ind. Eng. Chem. Res., 59, 8447 (2020).
Y. F. Wang, Z. C. Pan, J. Fen and Q. W. Qing, Miner. Eng., 145, 106066 (2020).
B. Q. Xie, C. J. Zhou, J. X. Chen, X. T. Huang and J. S. Zhang, Chem. Eng. Sci., 247, 117105 (2022).
H. S. Alam, P. Sutikno, T. A. Fauzi Soelaiman and A. T. Sugiarto, Eng. Appl. Comp. Fluid Mech., 16, 677 (2022).
K. Terasaka, A. Hirabayashi, T. Nishino, S. Fujioka and D. Kobayashi, Chem. Eng. Sci., 66, 3172 (2011).
Y.-B. Kim, H.-S. Lee, L. Francis and Y.-D. Kim, J. Membr. Sci., 588, 117197 (2019).
X. Y. Wang, Y. Shuai, X. R. Zhou, Z. L. Huang, Y. Yang, J. Y. Sun, H. M. Zhang, J. D. Wang and Y. R. Yang, Chem. Eng. Process., 154, 108022 (2020).
M. Wu, S. Y. Yuan, H. Y. Song and X. B. Li, Chem. Eng. Process., 170, 108697 (2022).
I. Levitsky, D. Tavor and V. Gitis, Chem. Eng. Technol., 39, 1537 (2016).
X. Xu, X. L. Ge, Y. D. Qian, B. H. Zhang, H. L. Wang and Q. Yang, Chem. Eng. Res. Des., 138, 13 (2018).
D. I. Mawarni, W. E. Juwana, K. A. Yuana, W. Budhijanto, Deendarlianto and Indarto, J. Water Process Eng., 48, 102846 (2022).
Y. L. Chang, L. Xu, J. P. Li, X. Jiang, Y. Huang, W. J. Lv and H. L. Wang, Ind. Eng. Chem. Res., 60, 1423 (2021).
M. Colic, W. Morse and J. D. Miller, Int. J. Environ. Pollut., 30, 296 (2007).
A. R. Al-Obaidi, Exp. Tech., 44, 329 (2020).
A. R. Al-Obaidi and R. Mishra, Arabian J. Sci. Eng., 45, 5657 (2020).
A. R. Al-Obaidi, Heliyon, 5, e01910 (2019).
A. R. Al-Obaidi and H. Towsyfyan, J. Appl. Fluid Mech., 12, 2057 (2019).
A. R. Al-Obaidi, Arch. Acoust., 45, 541 (2020).
A. R. Al-Obaidi, Int. J. Fluid Mech. Res., 47, 501 (2020).
A. R. Al-Obaidi, Arch. Acoust., 44, 59 (2019).
X. H. Li, W. B. Su, Y. Liu, X. K. Yan, L. J. Wang and H. J. Zhang, Asia-Pac. J. Chem. Eng., 16, e2611 (2020).
S. L. Yan, Y. Zhang, C. Peng, X. Y. Yang, Y. Huang, Z. S. Bai and X. Xu, Chin. J. Chem. Eng., 45, 229 (2022).
S. L. Yan, Y. Zhang, X. Y. Yang, Y. Huang, Z. S. Bai and X. Xu, Ind. Eng. Chem. Res., 60, 6006 (2021).
X. K. Yan, Y. P. Yao, S. Q. Meng, S. Y. Zhao, L. J. Wang, H. J. Zhang and Y. J. Cao, Chem. Eng. Res. Des., 174, 1 (2021).
A. R. Al-Obaidi, Int. J. Nonlinear Sci. Numer. Simul., 20, 487 (2019).
A. R. Al-Obaidi, J. Mech. Eng. Sci., 14, 6570 (2020).
A. R. Al-Obaidi, Heat Transfer, 49, 2000 (2020).
A. R. Al-Obaidi, J. Appl. Fluid Mech., 12, 445 (2019).
A. R. Al-Obaidi, J. Phys. Conf. Ser., 1279, 012069 (2019).
A. R. Al-Obaidi, Int. J. Model. Simul. Sci. Comput., 12, 2150045 (2021).
A. R. Al-Obaidi and A. A. Mohammed, J. Eng. Sci. Technol. Rev., 12, 70 (2019).
A. R. Al-Obaidi, Iran. J. Sci. Technol. Trans. Mech. Eng., 45, 441 (2021).
X. Y. Wang, Y. Shuai, H. M. Zhang, J. Y. Sun, Y. Yang, Z. L. Huang, B. B. Jiang, Z. W. Liao, J. D. Wang and Y. R. Yang, Chem. Eng. J., 403, 126397 (2021).
B. E. Launder and D. B. Spalding, Lectures in mathematical models of turbulence, Academic Press, London, England (1972).
V. Yakhot and S. A. Orszag, J. Sci. Comput., 1, 3 (1986).
T.-H. Shih, W. W. Liou, A. Shabbir, Z. Yang and J. Zhu, Comput. Fluids, 24, 227 (1995).
F. R. Menter, AIAA J., 32, 1598 (1994).
B. E. Launder, G. J. Reece and W Rodi, J. Fluid Mech., 68, 537 (1975).
M. M. Gibson and B. E. Launder, J. Fluid Mech., 86, 491 (1978).
B. E. Launder, Int. J. Heat Fluid Flow, 10, 282 (1989).
P. Yan, H. B. Jin, G. X. He, X. Y. Guo, L. Ma, S. H. Yang and R. Y. Zhang, Chem. Eng. Res. Des., 154, 47 (2020).
J. X. Ye, Y. X. Xu, X. F. Song and J. G. Yu, Chem. Eng. Res. Des., 144, 135 (2019).
J. O. Hinze, AIChE J., 1, 289 (1955).
Acknowledgements
The authors gratefully acknowledge the support of the calculation resource provided by professor Jianguo Yu.
Author information
Authors and Affiliations
Corresponding authors
Additional information
Credit Author Contributions
Yuxue Wu: Methodology, Software, Writing-original draft. Hang Chen: Data curation, Formal analysis. Xingfu Song: Validation, Supervision, Writing-review & editing.
Rights and permissions
About this article
Cite this article
Wu, Y., Chen, H. & Song, X. An investigation on the effect of open hole number and scheme on single-phase flow of a swirl flow bubble generator. Korean J. Chem. Eng. 40, 754–769 (2023). https://doi.org/10.1007/s11814-022-1343-5
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11814-022-1343-5