摘要
气溶胶的过滤效率和压降是衡量安全壳过滤排放系统中过滤器性能的重要指标。过滤排放系统内过滤器的过滤效率与众多因素有关,并且各因素对过滤效率和压降的影响程度不同。选取转折角、截面长度、管长和气流速度4个主要因素进行了优化研究,旨在分析各因素对过滤效率和压降的影响程度,并对微流体惯性过滤器的工艺参数进行合理的设计。运用正交试验原理,对4个因素的16组试验方案,进行了相关的数值模拟试验。基于试验结果,运用正交试验法中的极差分析法和方差分析法对4个因素进行详细的分析。结果表明,气流速度、截面长度、转折角对过滤效率的影响特别显著,均满足F>F_(0.01);气流速度对压降影响显著,满足F_(0.01)>F>F_(0.05)。该研究可为过滤排放系统中过滤器的设计提供指导和参考。
Filtration efficiency and pressure drop of aerosol are important indicators to measure the performance of filters in safety shell filtration and discharge system.The filtration efficiency of the filters in the filtration discharge system is related to many factors,and the influence degree of each factor on the filtration efficiency and pressure drop is different.Four main factors,turning angle,section length,pipe length and airflow velocity,are selected to optimize the study.The purpose is to analyze the influence degree of each factor on the filtration efficiency and pressure drop,and to rationalize the process parameters of the microfluidic inertial filter.Four factors with sixteen groups of experimental schemes are set up by using the principle of orthogonal experiment for relevant numerical simulation experiments.Based on the test results,the range analysis and variance analysis of the orthogonal test method are used to analyze the four factors in detail.The results show that the influence of air velocity,cross section length and turning angle on filtration efficiency is particularly significant,F values are all satisfied:F>F0.01;air velocity has significant influence on pressure drop,F value is satisfied:F0.01>F>F0.05.This study can provide guidance and reference for the design of filters in filtration and discharge systems.
作者
张薇
牛风雷
王仕集
ZHANG Wei;NIU Fenglei;WANG Shiji(School of Nuclear Science and Engineering,North China Electric Power University,Beijing 102206,China)
出处
《自动化仪表》
CAS
2019年第3期41-45,共5页
Process Automation Instrumentation
基金
国家自然科学基金资助项目(11635005)
中央高校基本科研业务基金资助项目(2016ZZD05
2017XS092)
关键词
微流体惯性过滤器
正交试验设计
数值模拟
极差分析
方差分析
过滤效率
压降
Microfluidic inertial filter
Orthogonal experimental design
Numerical simulation
Range Analysis
Variance Analysis
Filtration efficiency
Pressure drop