Hunicz, J., Gęca, M. S., Ratajczyk, E., Andwari, A. M., Yang, L., & Mikulski, M. (2023). An analytical approach to converting vibration signal to combustion characteristics of homogeneous charge compression ignition engines. Energy Conversion and Management, 294, 117564. https://doi.org/10.1016/j.enconman.2023.117564
An analytical approach to converting vibration signal to combustion characteristics of homogeneous charge compression ignition engines
|Author:||Hunicz, Jacek1; Gęca, Michał S.1; Ratajczyk, Elzbieta2;|
1Lublin University of Technology, Faculty of Mechanical Engineering, Nadbystrzycka 36, 20-618 Lublin, Poland
2Lublin University of Technology, Faculty of Electrical Engineering and Computer Science, Nadbystrzycka 38A, 20-618 Lublin, Poland
3University of Oulu, Machine and Vehicle Design (MVD), Materials and Mechanical Engineering, FI-90014 Oulu, Finland
4Harbin Engineering University, College of Power and Energy Engineering, No.145 Nantong Street, Nangang District, Harbin, China
5University of Vaasa, School of Technology and Innovation, Wolffintie 34, FI-65200 Vaasa, Finland
|Online Access:||PDF Full Text (PDF, 10.9 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe20230907121577
|Publish Date:|| 2023-09-07
Homogeneous charge compression ignition (HCCI) is a promising low-temperature combustion technique for low-emission internal combustion engines. Unlike conventional engines, HCCI lacks a direct ignition control mechanism, necessitating closed-loop combustion control. This study proposes a phenomenological-based, cost-effective, and non-intrusive approach using vibration data analysis to determine essential combustion parameters. Experiments were conducted on a single-cylinder research engine with an accelerometer attached to the engine head. The engine operation envelope covered the whole engine’s operating area in naturally aspirated HCCI mode. Wavelet analysis revealed that combustion-related frequencies centered around 500 Hz, independent of operating conditions. The correlation-seeking analysis included peak acceleration amplitude and its crank angle with peak heat release rate (HRR) data. The peak HRR location was accurately identified within one degree when vibration amplitude exceeded the 100 m/s2 threshold. This encompassed 98.5% of the analyzed combustion cycles. The peak HRR prediction accuracy had a maximum error below 21% and was suitable to monitor reaction rates, especially in incomplete combustion and high ringing cycles.
Energy conversion and management
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
214 Mechanical engineering
The research was funded by the Lublin University of Technology statutory research, contract No. FD-20/IM-5/44. Maciej Mikulski acknowledges the support of the Silent Engine project co-funded by Business Finland (NextGenerationEU funding).
© 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).