内燃机工程2024，Vol.45Issue(5)：72-81,89,11.DOI:10.13949/j.cnki.nrjgc.2024.05.009
基于正交试验设计的载体结构对柴油机颗粒捕集器工作特性的影响研究
Study on the Influences of Carrier Structures on Diesel Particulate Filter Performance Characteristics Based on Orthogonal Experimental Design
摘要
Abstract
A mathematical model for diesel particulate filter(DPF)pressure drop and capture efficiency was developed in order to lower the pressure drop and improve the capture efficiency of DPF.The impacts of carrier ratio(x1),wall thickness(x2)and cell density on DPF performance were methodically examined using an experimental methodology and polynomial approximation algorithm.The results show that pressure drop and capture efficiency are highly influenced by carrier ratio and wall thickness.The DPF pressure drop is relatively low and the capture efficiency is relatively good when the carrier ratio and wall thickness are within the ranges of(1.40,1.53)and(0.249,0.267)mm,respectively.At a carrier ratio of 1.52 and a wall thickness of 0.264 mm,the pressure drop reaches a minimum of 4.2 kPa,with a capture efficiency of 90.28% .The polynomial approximation algorithm yielded explicit expressions for the pressure drop model and capture efficiency model:pressure drop model Y=51.19+3.815x1-8.726x2+3.794x21-1.735x1x2+0.524x22,capture efficiency model Y=0.383+0.105x1+0.085x2+0.032x21-0.016x1 x2-0.003 2x22.With coefficients of determination of 0.999 6 and 0.998 5,respectively,and root mean square errors of 0.011 0 and 0.000 2,respectively,the DPF pressure drop and capture efficiency models show good predictive accuracy and goodness of fit.关键词
柴油机颗粒捕集器/正交试验设计/多项式逼近算法/压降/捕集效率Key words
diesel particulate filter(DPF)/orthogonal experimental design/polynomial approximation algorithm/pressure drop/capture efficiency分类
能源科技引用本文复制引用
包广元,何超,李加强,肖应学,字天曦,黄立闩..基于正交试验设计的载体结构对柴油机颗粒捕集器工作特性的影响研究[J].内燃机工程,2024,45(5):72-81,89,11.基金项目
云南省教育厅科学研究基金项目(2024Y605) （2024Y605）
云南省高层次人才项目(YNWR-QNBJ-2018-066,YNQR-CYRC-2019-001)Scientific Research Fund Project of Yunnan Provincial Department of Education(2024Y605) （YNWR-QNBJ-2018-066,YNQR-CYRC-2019-001）
Yunnan High-Level Talents Project(YNWR-QNBJ-2018-066,YNQR-CYRC-2019-001) （YNWR-QNBJ-2018-066,YNQR-CYRC-2019-001）
