摘要
针对目前煤炭初级采样代表性无法定量分析的问题,引入离散元仿真分析输送带中部初级采样过程,并开发了颗粒回溯技术。同时,参考《煤炭机械化采样》(GB/T 19494—2004)采样代表性的判断原则,利用颗粒回溯后的离散系数、位置标准差等统计参数对回溯颗粒进行分析,建立了煤炭输送带中部初级采样代表性定量研究方法。以带速5m/s的2m宽煤炭输送带上的初级采样器为例,定量分析了采样器在不同转速下的采样代表性,结论表明切割斗切割速度为6.03~9.05m/s时,其离散系数保持在0.5321~0.5249,即切割速度对其采样代表性无显著影响,其沿煤流方向的位置标准差随切割速度增加下降较快,从0.3326m降到0.2157m,代表随着切割速度的提高,其采集颗粒的分布更集中。
Aiming at the problem that the representativeness of primary coal sampling cannot be quantitatively analyzed,discrete element simulation is introduced to analyze the primary sampling process in the middle of the belt and develop particle backtracking technology. At the same time,referring to the principle of judging representativeness of sampling in GB/T 19494-2004"Mechanized Coal Sampling",statistical parameters such as dispersion coefficient and position standard deviation after particle backtracking are taken to analyze the backtracking particles,the quantitative research method of the primary sampling’s representativeness in the middle of the coal belt is established. Taking the primary sampler on a 2 m wide coal conveying belt with a belt speed of5 m/s as an example,the sampling representative of the sampler at different speeds is quantitatively analyzed. The conclusion shows that the cutting speed of the cutting bucket ranges from 6. 03 m/s to 9. 05 m/s,and the dispersion coefficient remains between 0. 5321 and 0. 5249,that is,the cutting speed has no significant influence on the representativeness of its sampling.The position standard deviation along the coal flow direction decreases faster with the increase of the cutting speed from0. 3326 m to 0. 2157 m,which means the distribution of collected particles becomes more concentrated as the cutting speed increases.
作者
吕舜
LYU Shun(Shenhua Shendong Quality Technical Inspection and Test Center,Ordos 017000,China)
出处
《煤炭工程》
北大核心
2021年第4期88-92,共5页
Coal Engineering
关键词
离散元
离散系数
采样代表性
初级采样器
颗粒回溯
discrete element method
coefficient of dispersion
sampling representativeness
primary sampler
particle backtracking
