刘建, 姚海飞, 金龙哲, 欧盛南, 魏传光. 基于罗森-拉姆勒分布函数的粉尘分散度分析[J]. 工程科学学报, 2010, 32(9): 1101-1106. DOI: 10.13374/j.issn1001-053x.2010.09.001
引用本文: 刘建, 姚海飞, 金龙哲, 欧盛南, 魏传光. 基于罗森-拉姆勒分布函数的粉尘分散度分析[J]. 工程科学学报, 2010, 32(9): 1101-1106. DOI: 10.13374/j.issn1001-053x.2010.09.001
LIU Jian, YAO Hai-fei, JIN Long-zhe, OU Sheng-nan, WEI Chuan-guang. Dust dispersion analysis based on the Rosen-Rammler distribution function[J]. Chinese Journal of Engineering, 2010, 32(9): 1101-1106. DOI: 10.13374/j.issn1001-053x.2010.09.001
Citation: LIU Jian, YAO Hai-fei, JIN Long-zhe, OU Sheng-nan, WEI Chuan-guang. Dust dispersion analysis based on the Rosen-Rammler distribution function[J]. Chinese Journal of Engineering, 2010, 32(9): 1101-1106. DOI: 10.13374/j.issn1001-053x.2010.09.001

基于罗森-拉姆勒分布函数的粉尘分散度分析

Dust dispersion analysis based on the Rosen-Rammler distribution function

  • 摘要: 根据罗森-拉姆勒分布函数推导粉尘分布规律的原理,对王庄煤矿4339工作面四个点的粉尘粒度分布数据进行回归处理后,得出该工作面的粉尘粒度分布规律.结果表明:进风巷距工作面5m处粒径为5μm以下的粉尘占14.8%,5~10μm的占32.5%,10μm以上的为52.7%,粉尘粒度集中分布在5~20μm;转载点粉尘粒度集中分布在5~10μm;工作面50#支架处的粉尘粒度集中分布在5~10μm;回风巷离工作面20m处的粉尘分散度集中分布在5~20μm.依据各点粉尘粒度集中分布的特点提出相应的防尘建议.

     

    Abstract: According to the principle of deriving mine dust distribution from the Rosen-Rammler distribution function,dust particle size distribution data at four places on the 4339 working face in Wangzhuang Coal Mine were regression-analyzed so as to get the dust particle size distribution law.The results show that in the area of 5 m away from the working face in the intake airway,the percentages of mine dust of less than 5 μm,5 to 10 μm and larger than 10 μm in particle size are 14.8%,32.5% and 52.7%,respectively,with a concentrated distribution of 5 to 20 μm.The size of mine dust concentrates in the range of 5 to 10 μm for the transfer point,in the range of 5 to 10 μm for the 50# support of the working face,and in the range of 5 to 20 μm for the area of 20 m away from the working face in the outlet lane.Some corresponding dust-proof suggestions were finally put forward on the basis of the characteristic of mine dust distribution in different places.

     

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