摘要
为净化小型发电机组用化油器式汽油机排气中的PM,进行GPF匹配与结构参数优化研究。试验与仿真分析发现增大GPF载体体积、减小长径比可降低GPF压差,增大孔隙率、减小微孔平均孔径可提高GPF捕集效率,增大壁厚在增大捕集效率同时也使压差增大。基于正交试验仿真计算结果,建立了捕集效率、压差与GPF多结构参数间关系的响应面近似模型,用于优化分析。采用存档微遗传算法多目标优化方法,得出GPF最优结构参数为孔径比为0.65、孔目数300#/in^(2)、壁厚0.27 mm、孔隙率67.68%、微孔平均孔径12μm。优化后的GPF过滤体体积减小了4.88%,颗粒物捕集效率高于98%,压差介于383.44~670 Pa之间。
To purify exhaust PM of small carburetor gasoline engine for a generator set,GPF matching and structural parameter optimization were studied.The GPF experiment and simulating results show that increasing the monolith volume and decreasing the length to diameter ratio can reduce the pressure drop of GPF,increasing the porosity and decreasing the average pore size of micropores can improve the GPF filtration efficiency,and increasing the wall thickness can increase the filtration efficiency and increase the pressure drop.Based on the orthogonal test simulation results,a response surface approximation model of the relationship between filtration efficiency,pressure drop and GPF multi-structural parameters was established and used for optimization calculation.A multi-objective optimization method using archived micro-genetic algorithm was used to optimize the GPF structural parameters.The optimal results obtained are as follows:the pore size ratio of 0.65,the number of pores of 300#/in^(2),the wall thickness of 0.27 mm,the porosity of 67.68%,and the average pore size of micropores of 12μm.After optimization,the volume of GPF filter body is reduced by 4.88%,the particle filtration efficiency is higher than 98%,the pressure drop ranges from 383.44 to 670 Pa.
作者
彭美春
肖过黄
阳晨
PENG Meichun;XIAO Guohuang;YANG Chen(School of Electro-Mechanical Engineering,Guangdong University of Technology,Guangzhou,Guangdong,510006,China)
出处
《小型内燃机与车辆技术》
2025年第3期80-86,共7页
Small Internal Combustion Engine and Vehicle Technique
基金
广东省环保科技项目(GPCGD161115FG359F)。
关键词
通用小型汽油机
GPF
结构参数
仿真
优化
General-purpose gasoline engine
GPF
Structural parameter
Simulation
Optimization
