Correlations between cycle-to-cycle variations and combustion parameters of a spark ignition engine

Zervas, Efthimios

doi:10.1016/j.applthermaleng.2004.02.008

Cited by 63 publications

(12 citation statements)

References 8 publications

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“…Several investigators have examined the CCV in spark ignition, compression ignition, and HCCI engines [27][28][29][30][31][32][33][34][35][36][37][38]. For the conventional spark-ignition engine, the studies revealed that variations occurring mainly in the early combustion stage influenced the CCV of indicated mean effective pressure (IMEP), and any factor which can increase the burning velocity of the mixture will lead to a reduction of the CCV [39][40][41][42][43]. The situation is similar in HCCI engines where the CCV in IMEP also result mainly from variations in the initial stages of combustion.…”

Section: Introductionmentioning

confidence: 99%

Dynamics of cycle-to-cycle variations in a natural gas direct-injection spark-ignition engine

Sen¹,

Zheng²,

Huang³

2011

Applied Energy

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Section: Introductionmentioning

confidence: 99%

Dynamics of cycle-to-cycle variations in a natural gas direct-injection spark-ignition engine

Sen¹,

Zheng²,

Huang³

2011

Applied Energy

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“…Usually multiple techniques are employed within the same research. While the ensemble-averaging method is the most commonly used method [5,27,[42][43][44][45], high-pass filtering method has been frequently employed [22,27,28,[44][45][46]. Literature survey indicates that POD, WD and the WD/PCA methods have been less frequently employed [3,18,[20][21][22][23][24][25].…”

Section: Analysis Methods-description/discussionmentioning

confidence: 99%

Comparative Analysis of Velocity Decomposition Methods for Internal Combustion Engines

Ölçmen

Ashford²,

Schinestsky³

et al. 2012

OJFD

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Different signal processing technique performances are compared to each other with regard to separating the mean and fluctuating velocity components of a simulated one-dimensional unsteady velocity signal comparable to signals observed in internal combustion engines. A simulation signal with known mean and fluctuating components was generated using experimental data and generic turbulence spectral information. The simulation signal was generated based on observations on the measured velocity data obtained using LDV in a motored Briggs-and-Stratton engine at about 600 RPM. Experimental data was used as a guide to shape the simulated signal mean velocity variation; fluctuating velocity variations with specified spectrum and standard deviation was used to mimic the turbulence. Cyclic variations were added both to the mean and the fluctuating velocity signals to simulate prescribed cyclic variations. The simulated signal was introduced as input to the following algorithms: ensemble averaging; high-pass filtering; Proper-Orthogonal Decomposition (POD); Wavelet Decomposition (WD) and Wavelet Decomposition/Principal Component Analysis (WD/PCA). The results were analyzed to determine the best method in correctly separating the mean and the fluctuating velocity information, indicating that the WD/PCA performs better compared to other techniques.

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“…It has been estimated that the elimination of cyclic variations could lead to a 10 % increase in power output and an enhancement of the fuel economy of up to 6 % 28. 30, 31 The use of different variables has been proposed to quantify cyclic variations: for example the indicated mean effective pressure (IMEP), the peak pressure in the cycle ( P max ), the crank angle (CA) position at which the maximum pressure is attained, or the time by which the burnt gas mass fraction (MFB) equals 90 %. This quantification usually consists of calculating the coefficient of variance (COV), that is, the standard deviation divided by the mean value of the chosen variable 27.…”

Section: Introductionmentioning

confidence: 99%

“…This quantification usually consists of calculating the coefficient of variance (COV), that is, the standard deviation divided by the mean value of the chosen variable 27. 28, 30…”

Section: Introductionmentioning

confidence: 99%

Technical Aspects of Ethyl Tert‐Butyl Ether (ETBE) for Large‐Scale Use as Gasoline Improver

et al. 2014

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Ethyl tert‐butyl ether (ETBE) is a promising gasoline improver and this study shows its comparison with other prospective oxygenated fuel additives. ETBE synthesis and its economics are reviewed with emphasis on sustainable production. Furthermore, an experimental investigation is performed on the impact of employing relatively large proportions of ETBE in fuel blends and a particular emphasis is put on the magnitude of cyclic variations at different operating conditions. Tests involved a primary reference fuel (95PRF and two mixtures of ethyl tert‐butyl ether (ETBE) with 95PRF. To provide a baseline for comparison, a commercial gasoline fuel containing 5 % by volume of ethanol (E05) was also tested. The experiments were performed by using a well‐controlled single‐cylinder research engine, which has a disc‐shaped combustion chamber with a full‐bore overhead optical access. The pressure recording method was used simultaneously with natural‐light video photography for recording the flame propagation. To quantify the cyclic variations, the indicated mean effective pressure (IMEP), the peak pressure and the crank value at which it is attained, and the time for 90 % mass fraction burnt (MFB) were used. Increasing proportion of ETBE in the fuel has very little effect on both the average rate of combustion and its cyclic variability, regardless of what parameter is chosen to characterize the it.

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Correlations between cycle-to-cycle variations and combustion parameters of a spark ignition engine

Cited by 63 publications

References 8 publications

Dynamics of cycle-to-cycle variations in a natural gas direct-injection spark-ignition engine

Dynamics of cycle-to-cycle variations in a natural gas direct-injection spark-ignition engine

Comparative Analysis of Velocity Decomposition Methods for Internal Combustion Engines

Technical Aspects of Ethyl Tert‐Butyl Ether (ETBE) for Large‐Scale Use as Gasoline Improver

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