Academic Journal

Analysis of the dynamic characteristics of combustion instabilities in a pre-mixed lean-burn natural gas engine

التفاصيل البيبلوغرافية
العنوان: Analysis of the dynamic characteristics of combustion instabilities in a pre-mixed lean-burn natural gas engine
المؤلفون: Yang, Li-Ping, Song, En-Zhe, Ding, Shun-Liang, Brown, Richard J., Marwan, Norbert, Ma, Xiu-Zhen
المجموعة: RePEc (Research Papers in Economics)
الوصف: The cyclic combustion instabilities in a pre-mixed lean-burn natural gas engine have been studied. Using non-linear embedding theory, recurrence plots (RPs) and recurrence qualification analysis (RQA), the hidden rhythms and dynamic complexity of a combustion system in high dimensional phase space for each gas injection timing (GIT) have been examined, and the possible source of combustion instabilities has been identified based on 3-D computational fluid dynamics (CFD) simulation. The results reveal that for lower engine load, with the decrease of mixture concentration, the combustion instability and complexity of combustion system become more sensitive to the variation of GITs. Richer mixture and earlier (GIT<30°CA ATDC) or delayed (GIT>90°CA ATDC) gas injection will lead to more stable combustion, regular oscillatory and low complexity of combustion system, while leaner mixture together with the medium GITs (from 30 to 90°CA ATDC) easily leads to increase of combustion fluctuations, time irreversibility and dynamic complexity of combustion system. When GITs are changed, the combustion instabilities of pre-mixed lean-burn natural gas engines are from in-cylinder unreasonable stratification of mixture concentration and turbulent motion. ; Natural gas engine; Lean-burn; Combustion instabilities; Gas injection timing (GIT); Recurrence plots (RPs); Recurrence qualification analysis (RQA)
نوع الوثيقة: article in journal/newspaper
اللغة: unknown
Relation: http://www.sciencedirect.com/science/article/pii/S0306261916313393
الاتاحة: http://www.sciencedirect.com/science/article/pii/S0306261916313393
رقم الانضمام: edsbas.D4557ECD
قاعدة البيانات: BASE