LAPSE:2023.19222
Published Article
LAPSE:2023.19222
Study on the Relationship between Combustion Parameters and Cylinder Head Vibration Signal in Time Domain
March 9, 2023
Abstract
Combustion-related characteristic parameters, such as the start of combustion (SoC) and the timing of the peak pressure increase rate (PIR), can be used as the feedback signals for the closed-loop control of combustion. A dynamic Finite Element Method (FEM) model was firstly developed to confirm the closely related time period between combustion pressure and vibration. On this basis, a fast processing method was developed to estimate the timings of SoC and the peak PIR in the closely related time period. This method was verified on a twelve-cylinder heavy-duty diesel engine at various engine speed and load. Results showed that the maximum deviation of the two parameters were within 2 °CA and 1.5 °CA, respectively, which suggested that the proposed method had an adequate accuracy.
Combustion-related characteristic parameters, such as the start of combustion (SoC) and the timing of the peak pressure increase rate (PIR), can be used as the feedback signals for the closed-loop control of combustion. A dynamic Finite Element Method (FEM) model was firstly developed to confirm the closely related time period between combustion pressure and vibration. On this basis, a fast processing method was developed to estimate the timings of SoC and the peak PIR in the closely related time period. This method was verified on a twelve-cylinder heavy-duty diesel engine at various engine speed and load. Results showed that the maximum deviation of the two parameters were within 2 °CA and 1.5 °CA, respectively, which suggested that the proposed method had an adequate accuracy.
Record ID
Keywords
combustion information estimation, combustion pressure, FEM analysis, vibration signal
Subject
Suggested Citation
Ji S, Li Y, Tian G, Ma R, Shu M, Zhang S, Yu W, Lan X, Cheng Y. Study on the Relationship between Combustion Parameters and Cylinder Head Vibration Signal in Time Domain. (2023). LAPSE:2023.19222
Author Affiliations
Ji S: College of Energy and Power Engineering, Shandong University, Jinan 250061, China
Li Y: College of Energy and Power Engineering, Shandong University, Jinan 250061, China
Tian G: Department of Mechanical Engineering Sciences, University of Surrey, Guildford GU27XH, UK
Ma R: College of Energy and Power Engineering, Shandong University, Jinan 250061, China
Shu M: Shandong Computer Science Centre (National Supercomputer Centre in Jinan), Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250013, China [ORCID]
Zhang S: College of Energy and Power Engineering, Shandong University, Jinan 250061, China
Yu W: College of Energy and Power Engineering, Shandong University, Jinan 250061, China
Lan X: College of Energy and Power Engineering, Shandong University, Jinan 250061, China
Cheng Y: College of Energy and Power Engineering, Shandong University, Jinan 250061, China
Li Y: College of Energy and Power Engineering, Shandong University, Jinan 250061, China
Tian G: Department of Mechanical Engineering Sciences, University of Surrey, Guildford GU27XH, UK
Ma R: College of Energy and Power Engineering, Shandong University, Jinan 250061, China
Shu M: Shandong Computer Science Centre (National Supercomputer Centre in Jinan), Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250013, China [ORCID]
Zhang S: College of Energy and Power Engineering, Shandong University, Jinan 250061, China
Yu W: College of Energy and Power Engineering, Shandong University, Jinan 250061, China
Lan X: College of Energy and Power Engineering, Shandong University, Jinan 250061, China
Cheng Y: College of Energy and Power Engineering, Shandong University, Jinan 250061, China
Journal Name
Energies
Volume
14
Issue
19
First Page
6421
Year
2021
Publication Date
2021-10-08
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en14196421, Publication Type: Journal Article
Record Map
Published Article
LAPSE:2023.19222
This Record
External Link
https://doi.org/10.3390/en14196421
Publisher Version
Download
Meta
Record Statistics
Record Views
165
Version History
[v1] (Original Submission)
Mar 9, 2023
Verified by curator on
Mar 9, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.19222
Record Owner
Auto Uploader for LAPSE
Links to Related Works