应用程函近似原理改进矿尘分布计算方法
Improving Computational Method of Mine Dust Distribution by Eikonal Approximation
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摘要: 为了提高煤矿粉尘分布测量效率，缩短在线测量时间，以光散射理论为基础，利用程函近似方法对散射波较好的近似性能，将光全散射法中Mie理论计算颗粒消光系数复杂等问题采用改进的程函近似方程进行优化。对常用的单峰R-R窄带、宽带颗粒粒径分布进行实验模拟，结果表明，重建模型基本符合预定分布，对设定模拟参数加入5%随机噪声时，粒径重建分布得到满意结果，消光系数矩阵计算速度提高48倍以上。Abstract: In order to improve the measurement efficiency of coal mine dust distribution and shorten online measure time, based on light scattering theory, using the good approximation performance of eikonal approximation method on scattering wave, an improved eikonal approximation equation is established to calculate complex particles extinction coefficient problem with Mie theory of total light scattering. The common unimodal R - R narrowband and broadband particle size distribution is carried out experiment simulation. The results show that reconstruction model meets scheduled distribution, to set 5% random noise to the simulation parameters, the particle size distribution reconstruction can get satisfactory results; extinction coefficient matrix is improved 48 times.
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