An analytical approach to converting vibration signal to combustion characteristics of homogeneous charge compression ignition engines
Artykuł w czasopiśmie
MNiSW
200
Lista 2023
| Status: | |
| Autorzy: | Hunicz Jacek, Gęca Michał Sławomir, Ratajczyk Elżbieta, Andwari Amin Mahmoudzadeh, Yang Li-Ping, Mikulski Maciej |
| Dyscypliny: | |
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| Rok wydania: | 2023 |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Wolumen/Tom: | 294 |
| Numer artykułu: | 117564 |
| Strony: | 1 - 17 |
| Web of Science® Times Cited: | 1 |
| Scopus® Cytowania: | 1 |
| Bazy: | Web of Science | Scopus |
| Efekt badań statutowych | NIE |
| Finansowanie: | 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). |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | TAK |
| Licencja: | |
| Sposób udostępnienia: | Witryna wydawcy |
| Wersja tekstu: | Ostateczna wersja opublikowana |
| Czas opublikowania: | W momencie opublikowania |
| Data opublikowania w OA: | 23 sierpnia 2023 |
| Abstrakty: | angielski |
| 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. |
