郑州大学机械与动力工程学院,郑州,450001
网络首发:2022-01-10,
纸质出版:2022
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丁顺良, 贺帅峰, 刘津津, 等. 天然气发动机燃烧不稳定性的多尺度特性分析[J]. 西安交通大学学报, 2022,56(1):31-40.
Multi-Scale Analysis of Combustion Instability in Natural Gas Engine[J]. 2022, 56(1): 31-40.
丁顺良, 贺帅峰, 刘津津, 等. 天然气发动机燃烧不稳定性的多尺度特性分析[J]. 西安交通大学学报, 2022,56(1):31-40. DOI: 10.7652/xjtuxb202201004.
Multi-Scale Analysis of Combustion Instability in Natural Gas Engine[J]. 2022, 56(1): 31-40. DOI: 10.7652/xjtuxb202201004.
为了揭示过量空气系数λ在多尺度上对天然气发动机燃烧不稳定性的影响规律
在低负荷工况下针对不同λ值进行试验
对平均指示压力时间序列进行小波分析和多分辨率分析
研究多尺度上天然气发动机燃烧不稳定性。结果表明:天然气发动机燃烧过程呈现明显的多尺度特性
且燃烧不稳定性与各尺度上细节信号的波动具有较强的相关性; 当混合气浓度较大时
压力波动呈现出持久性的大尺度周期振荡模式; 随着λ增加
高频尺度范围出现了间歇性的短周期振荡
高频细节信号的波动特征加剧
邻近燃烧循环之间的关联性增强
呈现出更复杂的动力学特征; 在接近稀燃极限工况时
高频细节信号D
1
对燃烧不稳定性的贡献率更大。同时
对燃烧过程多尺度确定性变化的原因进行了分析
为天然气发动机稀燃稳定性控制提供了理论依据。
To reveal the influence of excess air coefficient(λ)on combustion instability of natural gas engines at multiple scales
experiments were performed with different values of λ under low load conditions. The combustion instability of natural gas engine was analyzed at multiple scales using wavelet analysis and multi-resolution analysis of the p
imep
time series. Results show that the combustion process of natural gas engine presents obvious multi-scale characteristics
and there is a strong correlation between the combustion instability and the fluctuation of the detail signal on each scale. The pressure fluctuation presents a persistent large-scale periodic oscillati
on phenomenon when the mixture is rich. With the increase of λ value
intermittent short periodic oscillations appear in the high-frequency scale
the fluctuation features of the high-frequency signal are intensified
and the correlation between adjacent cycles is enhanced
showing more complex dynamic characteristics. While under lean-burn limit conditions
the contribution of the high-frequency signal D
1
to the combustion instability is greater than that of other signals with different frequencies. Meanwhile
the causes for the multi-scale deterministic changes in the combustion process were investigated
which provides a theoretical basis to improve the lean-burn stability of natural gas engines.
王意东, 何太碧, 汪霞, 等. 中国天然气汽车产业未来发展建议 [J]. 天然气工业, 2020, 40(7): 106-112.WANG Yidong, HE Taibi, WANG Xia, et al. Suggestions on the future development of natural gas vehicle industry in China [J]. Natural Gas Industry, 2020, 40(7): 106-112.
THIRUVENGADAM A, BESCH M, PADMANABAN V, et al. Natural gas vehicles in heavy-duty transportation: a review [J]. Energy Policy, 2018, 122: 253-259.
CHONG Zhengrong, YANG S H B, BABU P, et al. Review of natural gas hydrates as an energy resource: prospects and challenges [J]. Applied Energy, 2016, 162: 1633-1652.
MA Fanhua, WANG Yu, LIU Haiquan, et al. Effects of Hydrogen addition on cycle-by-cycle variations in a lean burn natural gas spark-ignition engine [J]. International Journal of Hydrogen Energy, 2008, 33(2): 823-831.
刘秉正, 彭建华. 非线性动力学 [M]. 北京: 高等教育出版社, 2004.
SEN A K, ZHENG Jianjun, HUANG Zuohua. Dynamics of cycle-to-cycle variations in a natural gas direct-injection spark-ignition engine [J]. Applied Energy, 2011, 88(7): 2324-2334.
SEN A K, ASH S K, HUANG Bin, et al. Effect of exhaust gas recirculation on the cycle-to-cycle variations in a natural gas spark ignition engine [J]. Applied Thermal Engineering, 2011, 31(14/15): 2247-2253.
SEN A K, LITAK G, FINNEY C E A, et al. Analysis of heat release dynamics in an internal combustion engine using multifractals and wavelets [J]. Applied Energy, 2010, 87(5): 1736-1743.
SEN A K, LITAK G, YAO B F, et al. Analysis of pressure fluctuations in a natural gas engine under lean burn conditions [J]. Applied Thermal Engineering, 2010, 30(6/7): 776-779.
SEN A K, WANG Jinhua, HUANG Zuohua. Investigating the effect of hydrogen addition on cyclic variability in a natural gas spark ignition engine: wavelet multiresolution analysis [J]. Applied Energy, 2011, 88(12): 4860-4866.
LITAK G, SYTA A, YAO Baofeng, et al. Indicated mean effective pressure oscillations in a natural gas combustion engine by recurrence plots [J]. Journal of Theoretical and Applied Mechanics, 2009, 47(1): 55-67.
LITAK G, LONGWIC R. Analysis of repeatability of diesel engine acceleration [J]. Applied Thermal Engineering, 2009, 29(17/18): 3574-3578.
DAW C S, FINNEY C E A, KAUL B C, et al. Characterizing dilute combustion instabilities in a multi-cylinder spark-ignited engine using symbolic analysis [J]. Philosophical Transactions of the Royal Society: A Mathematical, Physical and Engineering Sciences, 2015, 373(2034): 20140088.
DAW C S, FINNEY C E A, TRACY E R. A review of symbolic analysis of experimental data [J]. Review of Scientific Instruments, 2003, 74(2): 915-930.
FINNEY C E A, KAUL B C, DAW C S, et al. Invited review: a review of deterministic effects in cyclic variability of internal combustion engines [J]. International Journal of Engine Research, 2015, 16(3): 366-378.
LI Guoxiu, YAO Baofeng. Nonlinear dynamics of cycle-to-cycle combustion variations in a lean-burn natural gas engine [J]. Applied Thermal Engineering, 2008, 28(5/6): 611-620.
YANG Liping, DING Shunliang, LITAK G, et al. Identification and quantification analysis of nonlinear dynamics properties of combustion instability in a diesel engine [J]. Chaos: An Interdisciplinary Journal of Nonlinear Science, 2015, 25(1): 013105.
YANG Liping, SONG Enzhe, DING Shunliang, et al. Analysis of the dynamic characteristics of combustion instabilities in a pre-mixed lean-burn natural gas engine [J]. Applied Energy, 2016, 183: 746-759.
DING Shunliang, SONG Enzhe, YANG Liping, et al. Investigation on nonlinear dynamic characteristics of combustion instability in the lean-burn premixed natural gas engine [J]. Chaos, Solitons Fractals, 2016, 93: 99-110.
CAZELLES B, CHAVEZ M, BERTEAUX D, et al. Wavelet analysis of ecological time series [J]. Oecologia, 2008, 156(2): 287-304.
TORRENCE C, COMPO G P. A practical guide to wavelet analysis [J]. Bulletin of the American Meteorological Society, 1998, 79(1): 61-78.
ADELI H, GHOSH-DASTIDAR S, DADMEHR N. A wavelet-chaos methodology for analysis of EEGs and EEG subbands to detect seizure and epilepsy [J]. IEEE Transactions on Biomedical Engineering, 2007, 54(2): 205-211.
PERCIVAL D B, WALDEN A T. Wavelet methods for time series analysis [M]. Cambridge, UK: Cambridge University Press, 2000.
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