您当前的位置:
首页 >
文章列表页 >
Effects of injection parameters and taguchi method on particulate emissions of diesel engine under transient conditions
更新时间:2025-05-26
    • Effects of injection parameters and taguchi method on particulate emissions of diesel engine under transient conditions

    • In the field of engine particulate emissions, experts have studied the characteristics and optimization methods under transient operating conditions, determined the optimal control parameter combination, and provided solutions for reducing particulate emissions.
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 9, Pages: 2483-2492(2023)
    • 作者机构:

      1.吉林大学 汽车底盘集成与仿生全国重点实验室,长春 130022

      2.吉林大学 汽车工程学院,长春 130022

    • DOI:10.13229/j.cnki.jdxbgxb.20211236    

      CLC: TK421.5
    • Received:18 November 2021

      Published:01 September 2023

    移动端阅览

  • FENG Shuang,HONG Wei,LI Xiao-ping,et al.Effects of injection parameters and taguchi method on particulate emissions of diesel engine under transient conditions[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(09):2483-2492. DOI: 10.13229/j.cnki.jdxbgxb.20211236.

  •  
  •  

0

Views

12

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Influence of hydrogen injection parameters in pre⁃chamber on combustion characteristics of ammonia fueled internal combustion engines
Collaborative optimization for signals and trajectories of connected automated vehicles on dedicated bus lanes
Analysis of diesel particulate filter channel flow field and its noise characteristics in plateau environment
Balancing and collaborative optimization of two⁃sided U⁃type assembly line with multi⁃constraint
Real⁃time diagnosis for misfire fault of diesel engine based on convolutional neural network

Related Author

WANG Lei
HU Yu
LI Jun
CHEN Hai-e
ZHANG Fu
JIN Sheng
XUE Wei
LI Bo-lin

Related Institution

School of Automotive Engineering,Wuhan University of Technology
School of Vehicle and Mobility, Tsinghua University
Foshan Xianhu Laboratory, National Energy Key Laboratory for New Hydrogen-Ammonia Energy Technologies
City Cloud Technology (China) Co., Ltd.
Institute of Intelligent Transportation Systems, Zhejiang University
0