Study on the evolution law of a low resistance gas diffusion flow field under the condition of constant volume and variable pressure

机械 多物理 物理 理想气体定律 扩散过程 体积热力学 煤 扩散 衰减 气体扩散 流量(数学) 压缩性 煤矿开采 压力降 伯努利原理 非线性系统 气体压力 瞬态(计算机编程) 热力学 压力测量 体积流量 磁导率 扩散方程 声发射 动压 蒸汽 菲克扩散定律
作者
Xiang Fu,Yifan Wang,Chaojun Fan,Xuan Liu,Teng Chang,Zhongqiu Liang,Xu Li,Suning Ma
出处
期刊:Physics of Fluids [American Institute of Physics]
卷期号:37 (8)
标识
DOI:10.1063/5.0285092
摘要

Conventional gas emission experiments are widely used in outburst prevention and control work, but the system resistance of the test device interferes with the gas emission process of the coal particles themselves. In this paper, the pressure loss characteristics under conventional/low resistance conditions are compared through the developed low-resistance gas emission experimental device, and the pipeline pressure loss simulation and transient emission inversion analysis are carried out by means of Solidworks flow simulation and COMSOL Multiphysics software. It is concluded that in the process of conventional gas emission, the dynamic change of pressure loss is significant, and the fluctuation is up to 20 times, which hinders the emission process of coal particles themselves. The low-resistance diffusion experiment truly restores the gas diffusion process, and the released gas pressure shows a nonlinear upward trend. The velocity change is divided into three stages: initial high speed, lateral diffusion, and reflux and stable low speed. The mechanism includes Bernoulli effect, gas compression effect, and hydrodynamic instability. The Boltzmann model based on COMSOL inversion accurately characterizes the transient attenuation law of the outburst port velocity, and the maximum gas outburst port velocity of 0.5–1 mm coal particles at 2 MPa is 2.39 m/s. In this paper, the evolution law of a low resistance gas diffusion flow field under the condition of constant volume and variable pressure is studied, which provides support for the theoretical research of a gas outburst mechanism and also provides a new technical way for the prediction and prevention of outburst risk.

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