2013
DOI: 10.1080/00102202.2012.750309
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Predicting Fuel Performance for Future HCCI Engines

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Cited by 38 publications
(30 citation statements)
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“…Later, Shibata and Urushihara [15] developed three HCCI fuel indices, including the relative HCCI index that combines MON with information about the fuel composition. However, as Rapp et al [22] recently showed in a study of the performance of various fuels in a Cooperative Fuel Research (CFR) engine operating in HCCI mode, neither of the octane or relative HCCI indices can predict the autoignition behavior for a wide range of fuels. In particular, the correlations for both indices poorly predict the behavior of gasoline blends with naphthenes, aromatics, and ethanol.…”
Section: Introductionmentioning
confidence: 99%
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“…Later, Shibata and Urushihara [15] developed three HCCI fuel indices, including the relative HCCI index that combines MON with information about the fuel composition. However, as Rapp et al [22] recently showed in a study of the performance of various fuels in a Cooperative Fuel Research (CFR) engine operating in HCCI mode, neither of the octane or relative HCCI indices can predict the autoignition behavior for a wide range of fuels. In particular, the correlations for both indices poorly predict the behavior of gasoline blends with naphthenes, aromatics, and ethanol.…”
Section: Introductionmentioning
confidence: 99%
“…These values are determined by comparing the knocking characteristics under standardized conditions to those of a binary mixture of the PRFs n-heptane and 2,2,4-trimethylpentane (isooctane), where 0 and 100 correspond to the volume percentage of n-heptane and isooctane, respectively. However, various studies showed that octane rating does not adequately predict autoignition in HCCI engines [14,15,22,23], due to the fact that real fuels consist of more complex mixtures of fuel components compared to the PRFs.…”
Section: Introductionmentioning
confidence: 99%
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