IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v182y2019icp544-558.html
   My bibliography  Save this article

Multi-factor numerical simulation study on spray dust suppression device in coal mining process

Author

Listed:
  • Xu, Changwei
  • Nie, Wen
  • Liu, Zhiqiang
  • Peng, Huitian
  • Yang, Shibo
  • Liu, Qiang

Abstract

In order to treat serious dust pollution problems in a fully mechanized mining face, computational fluid dynamics (CFD) was here used for numerical simulation. The atomization effects of the pressure swirling nozzles with three pore diameters of 1.6, 2.0, and 2.4 mm under the roadway airflow disturbance of 1.4 m/s and spray pressure of 1–8 MPa were simulated respectively. The results showed that the size of droplet had a power exponential relationship with the spray pressure. When the pressure exceeded 3 MPa, the change tended to be gentle; in presence of the spray pressure of 8 MPa, optimum atomization was achieved, over 90% of spray field droplets have particle sizes ranging from 20 to 100 μm, and the distribution of the size of droplet was more uniform. When the spray pressure reached 8 MPa and the diameter of nozzle pore was 2.4 mm, more than 70% of the target area's spray field concentration was above 0.04 kg/m2. After the field application by using a spray dust suppression device on the hydraulic support, the total dust and the respirable dust concentrations at the sampling points of the mining face significantly decreased, thus, the effect of dust control is obvious.

Suggested Citation

  • Xu, Changwei & Nie, Wen & Liu, Zhiqiang & Peng, Huitian & Yang, Shibo & Liu, Qiang, 2019. "Multi-factor numerical simulation study on spray dust suppression device in coal mining process," Energy, Elsevier, vol. 182(C), pages 544-558.
  • Handle: RePEc:eee:energy:v:182:y:2019:i:c:p:544-558
    DOI: 10.1016/j.energy.2019.05.201
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544219310898
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2019.05.201?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Du, Tao & Nie, Wen & Chen, Dawei & Xiu, Zihao & Yang, Bo & Liu, Qiang & Guo, Lidian, 2020. "CFD modeling of coal dust migration in an 8.8-meter-high fully mechanized mining face," Energy, Elsevier, vol. 212(C).
    2. Hua, Yun & Nie, Wen & Liu, Qiang & Yin, Shuai & Peng, Huitian, 2020. "Effect of wind curtain on dust extraction in rock tunnel working face: CFD and field measurement analysis," Energy, Elsevier, vol. 197(C).
    3. Wang, Gang & Xie, Shuliang & Huang, Qiming & Wang, Enmao & Wang, Shuxin, 2023. "Study on the performances of fluorescent tracers for the wetting area detection of coal seam water injection," Energy, Elsevier, vol. 263(PE).
    4. Xu, Changwei & Nie, Wen & Peng, Huitian & Zhang, Shaobo & Liu, Fei & Yi, Shixing & Cha, Xingpeng & Mwabaima, Felicie Ilele, 2023. "Numerical simulation of the dynamic wetting of coal dust by spray droplets," Energy, Elsevier, vol. 270(C).
    5. Li, Zhenbao & Wang, Shaorui & Wei, Gaoming & Wang, Hu & Zhao, Haizhang & Liang, Rui, 2024. "The seepage driving mechanism and effect of CO2 displacing CH4 in coal seam under different pressures," Energy, Elsevier, vol. 293(C).
    6. Nie, Wen & Cha, Xingpeng & Bao, Qiu & Peng, Huitian & Xu, Changwei & Zhang, Shaobo & Zhang, Xu & Ma, Qingxin & Guo, Cheng & Yi, Shixing & Jiang, Chenwang, 2023. "Study on dust pollution suppression of mine wind-assisted spray device based on orthogonal test and CFD simulation," Energy, Elsevier, vol. 263(PB).
    7. Youngjoo Lee & Daesung Kwon & Changmin Park & Myoungjae Seo & TaeWon Seo, 2020. "Automated technique for high-pressure water-based window cleaning and accompanying parametric study," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-13, December.
    8. Wenchao Wang & Fayi Huang & Xianzhong Li, 2022. "Development of a portal-crane servo-spraying suppression system to reduce dust production at bulk cargo wharf," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(3), pages 1151-1161, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:182:y:2019:i:c:p:544-558. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.