煤炭工程 ›› 2021, Vol. 53 ›› Issue (4): 88-92.doi: 10.11799/ce202104019

• 生产技术 • 上一篇    下一篇

基于离散系数的煤炭初级采样代表性量化方法研究#br#
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吕舜   

  1. 神东质量技术检测检验中心
  • 收稿日期:2020-11-25 修回日期:2021-01-07 出版日期:2021-04-20 发布日期:2021-05-17
  • 通讯作者: 吕舜 E-mail:66122323@qq.com

Research on representative quantification method of coal primary sampling based on discrete coefficient

lv shun   

  • Received:2020-11-25 Revised:2021-01-07 Online:2021-04-20 Published:2021-05-17
  • Contact: lv shun E-mail:66122323@qq.com

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。

关键词: 离散元, 离散系数, 采样代表性, 初级采样器, 颗粒回溯

Abstract: 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", using statistical parameters such as dispersion coefficient and position standard deviation after particle backtracking 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 2m wide coal conveying belt with a belt speed of 5m/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 6.03m/s to 6.03m/s. When changing between 9.05m/s, 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. The drop from 0.3326m to 0.2157m means that as the cutting speed increases, the distribution of collected particles becomes more concentrated.

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