4.7 Article

An experimental study for characterization the process of coal oxidation and spontaneous combustion by electromagnetic radiation technique

期刊

PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
卷 119, 期 -, 页码 285-294

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.psep.2018.08.002

关键词

Coal spontaneous combustion; EMR; Temperature field; Thermal cracking; Free electron

资金

  1. National natural science foundation of China [51574279]
  2. Natural Science Foundation of Shandong Province [ZR2018BEE003]
  3. Applied Research Project of Key Research Program of Henan Universities [18A440006]
  4. Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)

向作者/读者索取更多资源

Coal spontaneous combustion results from a complex reaction between coal and oxygen. Previous studies on coal oxidation spontaneous combustion process provided guidance for fire prevention and control. In this work, we present a novel electromagnetic radiation (EMR) method to detect spontaneous combustion of coal. We established a multi-index experimental system for estimating various factors during coal oxidation (heating) and combustion and analyzed the characteristic temperature, index gases, and EMR signals. With the increase of temperature, the central temperature of coal varies significantly with the temperature around the coal oxidation heating device. Besides, we simultaneously tested the EMR signals generated during coal oxidation and combustion. EMR signals showed a positive correlation with temperature changes (i.e., EMR signal intensity increases with the increase in temperature and vice versa). The change trend of EMR signals with the CO is notable, and there is a good correspondence between the EMR signals and the change rule of CO gas. With the increase of temperature, the dielectric properties of coal change quickly, resulting in the occurrence of thermal deformation and rupture in the coal body, which produces significant EMR signals. The research results are of great significance for applying the EMR technique to directly detect hidden fire hazards in coal mines. (C) 2018 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.

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