基于离散单元法对振动筛仿真实验次数分析
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摘要
振动筛在筛分过程中表现出随机性,这种随机性使得1次仿真实验得到的结果缺乏足够的可信度。离散单元法(DEM)广泛应用于模拟振动筛的筛分过程,为了提高仿真结果的可信度,将1个参数组合进行多次实验得到的离散数据进行稳定性检验和正态性检验,结果表明在进行50次实验之后数据类型平稳且符合正态分布,抽取容量为30的样本可得到1个误差率低于0.5%的筛分效率均值,用置信区间对筛分效率进行描述,可以更加准确的反映筛分效率的真实情况。
The screening processof Vibrating screen is random. This randomness makes the result of one simulation lack enough credibility. The discrete element method(DEM) is widely used to simulate the sieving process of the vibrating screen. In order to improve the reliability of the simulation results, to repeat a number of experiments with a combination of parameters. The discrete data obtained by the experiment are used for stability and normality test. The results show that the data is stable and conforms to normal distribution after 50 experiments. A sample with a capacity of 30 can obtain a screening efficiency with an error rate of less than 0.5%, and a confidence interval is used to describe the sieving efficiency, which can more accurately reflect the actual situation of the screening efficiency.
The screening processof Vibrating screen is random. This randomness makes the result of one simulation lack enough credibility. The discrete element method(DEM) is widely used to simulate the sieving process of the vibrating screen. In order to improve the reliability of the simulation results, to repeat a number of experiments with a combination of parameters. The discrete data obtained by the experiment are used for stability and normality test. The results show that the data is stable and conforms to normal distribution after 50 experiments. A sample with a capacity of 30 can obtain a screening efficiency with an error rate of less than 0.5%, and a confidence interval is used to describe the sieving efficiency, which can more accurately reflect the actual situation of the screening efficiency.
引文
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[18]沈国浪,李占福,童昕,等.基于DEM的振动筛振动参数对分层质量的影响[J].煤炭科学技术,2017,45(5):217-222.
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[2]周碧,童昕,李占福,等.新型振动筛松散机理[J].机械设计与研究,2016,32(3):149-153.
[3]沈国浪,童昕,李占福.应用GA-BP神经网络优化平摆复合振动筛的振动参数[J].华侨大学学报:自然科学版,2018,39(4):509-513.
[4]CLEARY P W.Prediction of coupled particle and fluid flows using DEM and SPH[J].Minerals Engineering,2015,73:85-99.
[5]CLEARY P W,SINNOTT M D,MORRISON R D.Separation performance of double deck banana screens-Part 1:Flow and separation for different accelerations[J].Minerals Engineering,2009,22(14):1218-1229.
[6]CLEARY P W,SINNOTT M D,MORRISON R D.Separation performance of double deck banana screens-Part 2:Quantitative predictions[J].Minerals Engineering,2009,22(14):1230-1244.
[7]ZHAO L,ZHAO Y,LIU C,et al.Simulation of the screening process on a circularly vibrating screen using 3D-DEM[J].Mining Science and Technology(China),2011,21(5):677-680.
[8]李占福,童昕,周广涛.基于离散单元法的平摆筛设计及其透筛机理分析[J].机械设计与研究,2016,32(1):145-149.
[9]朱允言,孙乐殿,黄全利.直线振动筛的生产率和筛分效率[J].北京科技大学学报,1991(1):71-77.
[10]DONG H,LIU C,ZHAO Y,et al.Influence of vibration mode on the screening process[J].International Journal of Mining Science and Technology,2013,23(1):95-98.
[11]XIAO J,TONG X.Characteristics and efficiency of a new vibrating screen with a swing trace[J].Particuology,2013,11(5):601-606.
[12]段修生,程远增,朱新华.离散数据信号随机性检验的方法与实现[J].仪器仪表学报,2003,24(S1):291-293.
[13]谢居静.基于平稳性和信噪比的桥梁环境振动响应信号质量评价[D].长沙:中南大学,2010.
[14]方建刚,毛明策,程肖侠.陕西降水的正态分布特征分析[J].西北大学学报:自然科学版,2009,39(1):131-136.
[15]王重,刘黎明.拟合优度检验统计量的设定方法[J].统计与决策,2010(5):154-156.
[16]杨振海,程维虎,张军舰.拟合优度检验[M].北京:科学出版社,2011.
[17]LI Z,TONG X,ZHOU B,et al.Modeling and parameter optimization for the design of vibrating screens[J].Minerals Engineering,2015,83:149-155.
[18]沈国浪,李占福,童昕,等.基于DEM的振动筛振动参数对分层质量的影响[J].煤炭科学技术,2017,45(5):217-222.
[19]概率论及数理统计[M].北京:高等教育出版社,1994.