高河能源掘进工作面产尘机理及运移规律数值模拟研究

    Experimental Study on Optimization of Dry Dust Removal System for Gaohe Energy Mine

    • 摘要: 高河能源公司掘进工作面产尘强度大且回采深度逐年增加,在空气流场的作用下,常规治尘措施难以对粉尘进行有效拦截。为此,对掘进工作面产尘机理及运移规律开展数值模拟研究。首先,开展现场掘进过程压入式、抽出式风量测试,随后建立掘进工作面DPM模型,构建掘进面物理模型,得到巷道中粉尘浓度分布与粒径分布特性。最后开展掘进过程粉尘浓度分布测试。试验结果表明:掘进机司机位置处总尘浓度最高值、平均浓度、呼尘浓度最高值、平均浓度;转载机位置总尘、呼尘浓度的平均值;控风风筒后方总尘、呼尘浓度的平均值,经与数值模拟结果与现场实测结果对比,模拟精度大于85%,与现场情况基本一致。

       

      Abstract: The dust production intensity of the heading face of Gaohe Energy Company is large and the mining depth is increasing year by year. Under the action of air flow field, it is difficult to effectively intercept the dust by conventional dust control measures. Therefore, carried out numerical simulation research on the dust production mechanism and migration law of its tunneling face. Firstly, the pressure-type and extraction-type air volume tests were carried out in the field excavation process. Then, the DPM model of the excavation face was established, and the physical model of the excavation face of constructed to obtain the dust concentration distribution and particle size distribution characteristics in the roadway. Finally, the dust concentration distribution test in the excavation process was carried out. The test results show that: the highest total dust concentration, the average concentration, the highest exhaled dust concentration, the average concentration; The average concentration of total dust and exhaled dust at the transfer machine location; The average concentration of total dust and exhaled dust behind the air control duct is compared with the numerical simulation results and the field measurement results, and the simulation accuracy is greater than 85%, which is basically consistent with the field situation.

       

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