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Dust dispersion during the pulse-jet cleaning process with the diffuser effect of the cartridge filter

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Abstract

A special conical diffuser was presented and fixed on the top of the filter cartridge to improve the flow field. The existence of the diffuser can disperse the jet flow from the nozzle, and the high-speed airflow can act on more areas of the filter cartridge, including the top area of the filter cartridge. To improve the cleaning efficiency, the present study is aimed at optimizing the structure of the filter cartridge. The DPM model was used to simulate the dust dispersion process and the falling dust sedimentation from the filter under the action of the pulsed airflow. To validate the established model, the pressure values at the monitoring points were analyzed and compared with the related experimental results. It is found that the pressure values are consistent with the experimental results. Moreover, the installation distance and the size of the diffuser were studied and their influence on the dust distribution on the surface of the filter cartridge. It is found that the dust removal effect is relatively better when the installation distance is 90 mm and the size radius is 25 mm. The maximum dust concentration can be reduced by 15 mg/m3. The present research results can provide theoretical guidance for the cleaning process of the filter cartridge and finally improve the dust-removal efficiency of the dust collector.

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Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

\({C}_{D}\) :

Drag coefficient

\({\text{C}}_{1}\) :

Constant

\({\text{C}}_{2}\) :

Constant

\({\text{C}}_{{1}\varepsilon }\) :

Constant

\({\text{C}}_{{3}\varepsilon }\) :

Constant

\({d}_{p}\) :

Particle diameter (m)

\({\text{G}}_{\text{k}}\) :

The generation of turbulence kinetic energy due to mean velocity gradients

\({\text{G}}_{\text{b}}\) :

The generation of turbulence kinetic energy due to buoyancy

\({\text{k}}\) :

Turbulence kinetic energy (J/kg)

\({m}_{p}\) :

Mass of particles (kg)

\({\text{S}}_{k}\) :

User-defined source term

\({\text{S}}_{\varepsilon }\) :

User-defined source term

\({\text{S}}\) :

The modulus of the mean rate-of-strain tensor

\(\overline{u }\) :

Average air velocity (m/s)

\({u}^{^{\prime}}\) :

Random fluctuation velocity (m/s)

\(u\) :

Air velocity (m/s)

\({u}_{p}\) :

Particle velocity (m/s)

\({u}_{i}\) :

Velocity of the surrounding fluid (m/s)

\(\rho\) :

Air density (kg/m3)

\({\rho }_{p}\) :

Particle density (kg/m3)

\({\Gamma }_{k}\) :

The effective diffusivity of k

\({\Gamma }_{\varepsilon }\) :

The effective diffusivity of \(\varepsilon\)

\(\varepsilon\) :

The specific dissipation rate

\({\sigma }_{k}\) :

The turbulent Prandtl numbers for k

\({\sigma }_{\varepsilon }\) :

The turbulent Prandtl numbers for \(\varepsilon\)

\({\mu }_{t}\) :

The turbulent viscosity

\(\mu\) :

Air viscosity

\(\varsigma\) :

Normally distributed random number

\({\overline{\Omega } }_{ij}\) :

The mean rate-of-rotation tensor viewed in a rotating reference frame

\({\omega }_{k}\) :

The angular velocity

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Funding

Financial support from the Fundamental Research Funds for the Project of National Natural Science Foundation of China (52174215) and Natural Science Foundation of Jiangsu Province (BK20200642) are sincerely acknowledged. This research was funded by the Graduate Innovation Program of China University of Mining and Technology (grant no. 2022WLJCRCZL202) and the Postgraduate Research & Practice Innovation Program of Jiangsu Province (grant no. SJCX22_1164). Financial support from the Fundamental Research Funds for the Central Universities (no. 2019XKQYMS56) is sincerely acknowledged.

Author information

Authors and Affiliations

  1. School of Low-Carbon Energy and Power Engineering, China University of Mining and Technology, Xuzhou, 221116, China

    Xinyue Feng, Fan Geng, Haixu Teng & Jiajun An

  2. Carbon Neutrality Institute, China University of Mining and Technology, Xuzhou, 221116, China

    Shihang Li

  3. School of Safety Engineering, China University of Mining and Technology, Xuzhou, 221116, China

    Changgeng Gui

Authors
  1. Xinyue Feng
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  2. Fan Geng
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  3. Haixu Teng
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  4. Shihang Li
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  5. Jiajun An
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  6. Changgeng Gui
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Contributions

Fan Geng and Shihang Li: conceptualization and methodology. Fan Geng and Xinyue Feng: software, formal analysis and visualization, and writing—review and editing. Haixu Teng, Xinyue Feng, and Changgeng Gui: investigation, validation, data curation, and writing—original draft. Jiajun An: resources and writing—review and editing.

Corresponding author

Correspondence to Fan Geng.

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Highlights

(1) Coupling of the different-sized dust and the hybrid airflow was conducted.

(2) Using porous media model and CFD-DPM method.

(3) The installation distance and size of the diffuser are optimized to get the optimal value.

(4) The results obtained provide a reference for the optimization of dust collectors.

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Feng, X., Geng, F., Teng, H. et al. Dust dispersion during the pulse-jet cleaning process with the diffuser effect of the cartridge filter. Environ Sci Pollut Res 30, 41486–41504 (2023). https://doi.org/10.1007/s11356-022-24865-x

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  • DOI: https://doi.org/10.1007/s11356-022-24865-x

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