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线-板式电除尘器场强正态分布模式假设及其检验
引用本文:向晓东,邹霖,黄莺,柯了英,陈旺生,黄三明.线-板式电除尘器场强正态分布模式假设及其检验[J].武汉科技大学学报(自然科学版),2006,29(4):356-358,382.
作者姓名:向晓东  邹霖  黄莺  柯了英  陈旺生  黄三明
作者单位:1. 武汉科技大学,湖北,武汉,430081
2. 华中科技大学煤燃烧国家重点实验室,湖北,武汉,430074
3. 武汉安全环保研究院,湖北,武汉,430081
基金项目:中央级科研院所技术开发研究专项基金
摘    要:根据线-板式电除尘器的电场分布特征。提出线-板式电极问电场分布服从正态分布假设。在此假设下,以电晕区边缘和收尘极板表面作为边界条件,应用高斯定理导出线.板式电除尘器的电场分布理论计算式。该式与Oglesby等报道的线-板式电场的数值解有极好的一致性。研究表明,无论是单根还是多根电晕线,在电晕区外,所得场强分布式在整个线-板式电除尘器内处处连续可导。

关 键 词:电除尘器  电场强度  正态分布
文章编号:1672-3090(2006)04-0356-04
收稿时间:2005-11-28
修稿时间:2005-11-28

Assumption and Verification of Normal Distribution Model of Electric Field in Wire-plate ESP
XIANG Xiao-dong,ZOU Lin,HUANG Ying,KE Liao-ying,CHEN Wang-sheng,HUANG San-ming.Assumption and Verification of Normal Distribution Model of Electric Field in Wire-plate ESP[J].Journal of Wuhan University of Science and Technology(Natural Science Edition),2006,29(4):356-358,382.
Authors:XIANG Xiao-dong  ZOU Lin  HUANG Ying  KE Liao-ying  CHEN Wang-sheng  HUANG San-ming
Institution:1. Wuhan University of Science and Technology, Wuhan 430081, China; 2. Huazhong University of Science and Technology, Wuhan 430074, China; 3. Wuhan Safety and Environmental Protection Research Institute, Wuhan 430081, China
Abstract:The assumption of the normal distribution of the electric field is proposed according to the characteristics of the electric field distribution in the wire-plate electrostatic precipitator(ESP).The theoretical calculation formula for predicting the electric field distribution in the wire-plate ESP is developed by Gaussian electric flux theorem under the assumption when the outer edge of the corona and the surface of the collection electrode are taken as the boundary conditions.The values predicted by the new formula are in sound agreement with the numerical values presented by Oglesby and others.The new formula has also shown that the electric field distribution is continuous and derivable everywhere in the wire-plate ESP except in the corona region.
Keywords:electrostatic precipitator  electric field intensity  normal distribution model
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