摘要
本研究在对催化型微粒捕集器(CDPF)的劣化机理分析的前提下,以与性能劣化相关的最大侧壁温度作为评价指标,运用正交试验设计表和模糊灰色关联分析法对再生温度、NO浓度、催化剂涂敷量、SO浓度、氧浓度、排气流量六大主要运行参数进行灰色预测分析,找出影响催化型微粒捕集器劣化的最主要因素,为催化型微粒捕集器性能进一步优化提供参考。研究结果表明,六大运行参数均为影响CDPF性能劣化的主要因素,其中,NO浓度对最大侧壁温度的影响最大。
In this study, under the premise of analyzing the degradation mechanism of the catalytic particulate filter(CDPF), the maximum sidewall temperature related to performance degradation is used as the evaluation index, and the regeneration temperature, NOconcentration and regeneration temperature,NOconcentration are calculated by orthogonal experimental design table and fuzzy gray correlation analysis method. 6 major operating parameters of catalyst coating amount, SOconcentration, oxygen concentration, and exhaust flow rate are used for gray prediction analysis to find out the most important factors affecting the degradation of the catalytic particulate filter, and further optimize the performance of the catalytic particulate filter. for reference. The research results show that the six operating parameters are the main factors affecting the performance degradation of the CDPF, among which the NOconcentration has the greatest influence on the maximum sidewall temperature.
作者
黎思杰
LI Sijie(School of Automobile and Mechanical Engineering,Changsha University of Science and Technology,Changsha 410000,China)
出处
《河南科技》
2022年第14期91-95,共5页
Henan Science and Technology
关键词
柴油机催化型微粒捕集器
最大侧壁温度
模糊灰色关联分析法
diesel engine catalytic particulate trap
maximum wall temperature
fuzzy grey correlation analysis method