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水雾荷电脱除PM2.5影响因素试验研究
引用本文:葛少成,孙丽英,荆德吉,陈曦,陈景序,郭佳策.水雾荷电脱除PM2.5影响因素试验研究[J].中国安全科学学报,2019(3):139-144.
作者姓名:葛少成  孙丽英  荆德吉  陈曦  陈景序  郭佳策
作者单位:太原理工大学安全与应急管理工程学院;辽宁工程技术大学安全科学与工程学院;辽宁工程技术大学矿山热动力灾害与防治教育部重点实验室
基金项目:国家自然科学基金青年基金资助(51704145,51704146)
摘    要:为解决PM2. 5难以脱除的问题,设计并开展正交试验以研究水雾荷电特性及含尘气流风速对PM2. 5脱除效率的影响。采用线性回归分析方法处理数据,分析气液两相荷电水雾脱除PM2. 5的特性,建立PM2. 5脱除效率回归模型。结果表明:所建回归模型是有效的,应用回归模型可以预测PM2. 5脱除效率;当荷电电压x1为12 kV、电极间距为15 mm、电极环直径x3为60 mm、气液比x4为1. 5、喷嘴直径x5为0. 6 mm、含尘气流风速x6为4 m/s时,PM2. 5脱除效率最优值为97. 26%;PM2. 5脱除效率与x1、x2、x4正相关,与x3、x5、x6负相关,因素近重要程度排序为x1>x6>x4>x5>x3>x2。

关 键 词:荷电水雾  雾化参数  正交试验  回归分析  PM2.5脱除效率

Experimental study on influencing factors of water mist charge removal of PM2.5
GE Shaocheng,SUN Liying,JING Deji,CHEN Xi,CHEN Jingxu,GUO Jiace.Experimental study on influencing factors of water mist charge removal of PM2.5[J].China Safety Science Journal,2019(3):139-144.
Authors:GE Shaocheng  SUN Liying  JING Deji  CHEN Xi  CHEN Jingxu  GUO Jiace
Institution:(College of Safety and Emergency Management Engineering, Taiyuan University of Technology, TaiyuanShanxi 030024, China;College of Safety Science and Engineering, Liaoning Technical University,Fuxin Liaoning 123000, China;Key Laboratory of Mine Thermodynamic disasters and Control ofMinistry of Education,Liaoning Technical University, Fuxin Liaoning 123000,China)
Abstract:To solve the problem of difficult removal of PM2. 5,an orthogonal experiment was designed to effects of charge-characteristics of water mist and dust-laden air velocity on efficiency of PM2. 5 removal were studied by carrying out orthogonal experiments. Experimental data were processed by the analysis method of linear regression. A regression model was built for PM2. 5 removal efficiency. The results show that the regression model is an effective one and can be used to predict the efficiency of PM2. 5 removal,that when the charge voltage( x1) is 12 kV,electrodes distance( x2) is 15 mm,electrode ring diameter( x3) is 60 mm,gas-liquid ratio( x4) is 1.5,nozzle diameter( x5) is 0.6 mm,dusty airflow velocity( x6) is 4 m/s,the optimal value of PM2. 5 removal efficiency is 97. 26%,that there is a positive correlation between factors-x1,x2,x4 and PM2. 5 removal efficiency,and a negative correlation between factors-x3,x5,x6 and PM2. 5 removal efficiency,and that the importance ranking of factors is x1>x6>x4>x5>x3>x2.
Keywords:charged spray  atomization parameters  orthogonal experiment  regression analysis  PM2  5 removal efficiency
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