IDEAS home Printed from https://ideas.repec.org/a/oup/ijlctc/v16y2021i1p125-134..html
   My bibliography  Save this article

Variation of ignition sensitivity characteristics of non-stick coal dust explosions
[Projection of long-term care costs in China, 2020–2050: based on the Bayesian Quantile regression method]

Author

Listed:
  • Di Sha
  • Yucheng Li
  • Xihua Zhou
  • Ruiqing Li

Abstract

The ignition and explosion of coal dust are significant hazards in coal mines. In this study, the minimum ignition temperature and energy of non-stick coal dust were investigated empirically at different working conditions to identify the key factors that influence the sensitivity and characteristics of coal dust explosions. The results showed that for a given particle size, the minimum ignition temperature of the coal dust layer was inversely related to the thickness of the coal dust layer. Meanwhile, when the layer thickness was kept constant, the minimum ignition temperature of the coal dust layer decreased with smaller coal dust particle sizes. Over the range of particle sizes tested (25–75 μm), the minimum ignition temperature of the coal dust cloud gradually increased when larger particles was used. At the same particle size, the minimum ignition temperature of the coal dust layer was much lower than that of the coal dust cloud. Furthermore, the curves of minimum ignition energy all exhibited a minimum value in response to changes to single independent variables of mass concentration, ignition delay time and powder injection pressure. The interactions of these three independent variables were also examined, and the experimental results were fitted to establish a mathematical model of the minimum ignition energy of coal dust. Empirical verification demonstrated the accuracy and practicability of the model. The results of this research can provide an experimental and theoretical basis for preventing dust explosions in coal mines to enhance the safety of production.

Suggested Citation

  • Di Sha & Yucheng Li & Xihua Zhou & Ruiqing Li, 2021. "Variation of ignition sensitivity characteristics of non-stick coal dust explosions [Projection of long-term care costs in China, 2020–2050: based on the Bayesian Quantile regression method]," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 16(1), pages 125-134.
  • Handle: RePEc:oup:ijlctc:v:16:y:2021:i:1:p:125-134.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ijlct/ctaa046
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    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:oup:ijlctc:v:16:y:2021:i:1:p:125-134.. 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/ijlct .

    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.