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CFD investigation on gas–solid two-phase flow of dust removal characteristics for cartridge filter: a case study

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Abstract

The filter cartridge dust collector has been widely used in industry, but the influence of its internal structure on its operation effects is rarely studied. FLUENT software was used to simulate the influence of different air volume and permeability values on the gas–solid two-phase flow of dust removal characteristics for a filter cartridge. The results show that when the air volume of the fan was greater than 1600 m3/h, the increase in the dust reduction rate was not obvious, and the high-velocity airflow filled the entire dust removal chamber, which was conducive to the filter using the largest effective filtration area to remove dust; the optimal air volume was 1600 m3/h. Furthermore, the dust removal effect gradually became worse when the porosity was higher than 0.65, but the fluidity of the internal air was poor when it was lower than 0.65. The optimum porosity was 0.65. A simulated validation analysis was conducted using the above optimal parameters. As the proportion of particles below 2 μm increased, the dust removal effect worsened.

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Abbreviations

ρ :

Density of gas (kg m−3)

k :

Kinetic energy

ε :

Turbulent energy dissipation rate

μ :

Laminar viscosity coefficient

μ t :

Viscosity coefficient

G k :

The generation term of the turbulent kinetic energy due to the average velocity gradient

a,b :

Generation term of the turbulent kinetic energy k caused by the mean velocity gradient and buoyancy

y :

Contribution of pulsating expansion in compressible turbulence

d,e,f :

Empirical constants are 1.44, 1.92, and 0.09, respectively

m,n :

Prandtl numbers corresponding to the turbulent kinetic energy k and dissipation rate, respectively, and they have values of 1.3 and 1.0

m p :

Particle mass

u p :

Particle velocity

∑F :

Combined forces of particles

F d :

Resistance to particles

F g :

Particles are subject to gravity

F f :

Buoyancy of particles

F x :

Other forces on the particles (N), including Magnus lift, Saffman lift, additional mass, Brown force, and thermophoresis

C d :

Drag coefficient

C φ :

Dynamic shape coefficient

A p :

Particle air ward area

Re p :

Reynolds number for spherical particles

a 1,a 2,a 3 :

Constants for a certain range of Reynolds number

d p :

Particle diameter

ζ :

Random numbers subject to a normal distribution

\( \sqrt{{\overline{u}}^{\hbox{'}2}} \) :

Root mean square of fluctuating velocity

D :

Parcel diameter

ρ :

Particle mass density

ν :

Relative velocity between two colliding particles

ε D :

Fraction of the diameter for allowable overlap

ΔP :

Pressure drop

L α :

Permeability

ν:

Normal velocity

C :

Pressure jump coefficient

ρ :

Fluid density

ΔM :

M thickness

D p :

Average pore diameter of filter material

ε :

Porosity of filter material

F(d):

The cumulative distribution of the particle size

D :

Median diameter (μm)

S :

Propagation coefficient

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Acknowledgments

This work was financially supported by the National Natural Science Foundation of China (Grant no. 51774198, 51904171), the Outstanding Youth Fund Project of Provincial Universities in Shandong Province, China (Grant no. ZR2017JL026), the Qingchuang Science and Technology Project of Universities in Shandong Province, China (Grant no. 2019KJH005), the Taishan Scholars Project Special Funding in Shandong Province, China (Grant no. ts20190935), the National Key Research and Development Program of China (Grant no. 2017YFC0805202), and the Natural Science Foundation of Shandong Province, China (Grant no. ZR2019BEE067).

Author information

Authors and Affiliations

  1. College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao, 266590, People’s Republic of China

    Danhong Gao, Gang Zhou, Rulin Liu, Shuailong Li, Yang Kong & Yongmei Wang

  2. State Key Laboratory of Mining Disaster Prevention and Control Co-founded by Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao, 266590, People’s Republic of China

    Danhong Gao, Gang Zhou, Rulin Liu, Shuailong Li, Yang Kong & Yongmei Wang

  3. Department of Safety Engineering, College of Safety and Environmental Engineering, Shandong University of Science and Technology, 579 Qianwangang Road, Huangdao District, Qingdao City, Shandong Province, People’s Republic of China

    Gang Zhou

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  1. Danhong Gao
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  2. Gang Zhou
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  4. Shuailong Li
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  5. Yang Kong
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Contributions

All authors contributed to the study conception and design. D.G., R.L., S.L., and Y.K. prepared data, experimented and analyzed. The first draft of this manuscript was written by D.G., Y.W. modeled the model, and G.Z. guided the whole process. All authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Gang Zhou.

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The authors declare that they have no competing interests.

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Not applicable. All analyses are based on previously published research. The research does not involve ethical and moral issues, so no moral approval is required.

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Responsible Editor: Marcus Schulz

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Highlights

Analysis of the airflow characteristics in the dust collector shows that the air volume is relatively optimal at 1600 m3/h.

Analysis of dust distribution rule was performed to obtain the optimal filter porosity of 0.65.

The greater the proportion of 0~2 μm dust particles, the worse the dust removal effect.

On this basis, combining filter cartridge with dry fog removal, the dust concentration below 2 μm can be effectively reduced.

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Gao, D., Zhou, G., Liu, R. et al. CFD investigation on gas–solid two-phase flow of dust removal characteristics for cartridge filter: a case study. Environ Sci Pollut Res 28, 13243–13263 (2021). https://doi.org/10.1007/s11356-020-11334-6

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  • DOI: https://doi.org/10.1007/s11356-020-11334-6

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