Study on sound wave kinematic characteristics and temperature sensing mechanism during the warming process of loose coals

Biao Kong, Jianhui Zhong, Jianping Wei, Wei Lu, Xiaolei Sun, Gongfan Yang, Xushuai Zhao and Lu Ma

Energy, 2024, vol. 307, issue C

Abstract: Coal spontaneous combustion is a major threat for safe production. In order to achieve the application of sound wave technology to the monitoring and early warning of coal spontaneous combustion, clarify the propagation characteristics of sound waves in loose coal heating process, and illustrate the temperature sensing mechanism of the sound wave detection and early warning of coal spontaneous combustion, the present study built a test system of sound wave kinematic parameter for loose coals to survey the attenuation characteristics of sound wave propagation during loose coal heating. The elastic wave CT algorithm was used to reconstruct the sound wave velocity field, clarify the propagation path, and identify the temperature anomaly area. The results show that with the increase of temperature, the time for sound wave propagation reduces rapidly and then slowly, the velocity increases gradually, and the internal structure and pores of coals become enlarged. In the sound velocity field reconstructed on the basis of SIRT algorithm, the area with high value corresponds to the high temperature area of the coal, which better reflects the changes of the temperature anomaly area during coal heating.

Keywords: Loose coal; Spontaneous coal combustion; Sound wave kinematics; Sound wave velocity field; Temperature sensing mechanism (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:307:y:2024:i:c:s0360544224025271

DOI: 10.1016/j.energy.2024.132753

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