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基于煤粒瓦斯解吸实验的温度变化量预测模型研究

Prediction Model of Temperature Variation based on Gas Desorption Experiment of Coal Particle

  • 摘要: 通过实验室煤粒瓦斯解吸测试,研究了同一种煤样在3种不同粒径条件下的煤粒瓦斯解吸规律。在对实验数据分析的基础上,结合理论推导构建了基于煤粒瓦斯解吸过程温度变化量的煤体瓦斯解吸扩散数学模型并开展了相关验证,分析了该模型的适用性。研究结果表明,3种粒径煤样在吸附平衡压力为0.34 MPa左右时,瓦斯解吸量分别可以达到3.77、3.91、5.65 mL/g,煤样解吸速率与粒径之间呈负相关关系。煤粒瓦斯解吸过程中实测煤体温度变化曲线呈“马鞍”形。建立的描述煤粒瓦斯解吸初期阶段的数学模型可用于预测特定条件下煤体瓦斯解吸温度变化量,对于研究煤矿瓦斯运移过程及灾害预警具有重要的参考价值。

     

    Abstract: By means of laboratory gas desorption test of coal particle, the gas desorption rule of coal particle with the same coal sample in three different particle sizes was studied. On the basis of experimental data analysis, combined with theoretical deduction, a mathematical model of gas desorption and diffusion of coal body based on temperature variation was established, relevant validation was carried out, and the applicability of the model was analyzed. The results show that when the adsorption equilibrium pressure is about 0.34 MPa, the gas desorption amount of the coal in three particle sizes can reach 3.77 mL/g, 3.91 mL/g and 5.65 mL/g respectively, there is a negative correlation between desorption rate and particle size. In the process of gas desorption of coal particles, the measured coal body temperature curve takes the shape of "saddle". Under specific conditions, the mathematical model established to describe the initial stage of gas desorption of coal particle can be used to predict the change of coal body gas desorption temperature. It has important reference value for the study of gas migration process and disaster early warning research in coal mine.

     

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