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- W2897953573 abstract "Abstract Homogeneous Charge Compression Ignition (HCCI) is a promising advanced combustion concept with high thermal efficiency and low exhaust emissions. This work purposes a computationally-efficient, zero-dimensional (0-D) HCCI combustion model that does not need to solve any differential equations. To develop the burn rate correlations, experimental HCCI data of ethanol, natural gas, E10-gasoline, and Primary Reference Fuel (PRF) blends was collected on a CFR engine. The burn rate model is built based on the individual cycle mass fraction burned (MFB) curves calculated from the experimental data. CA0 can be predicted from an ignition delay correlation. Once CA0 is known, CA50 and CA90 can be predicted based on CA0 and the charge-mass equivalence ratio ϕ ′ . Then, with CA0, 50 and 90 known, a Wiebe function can be constructed to represent the MFB curve and burn rate. For PRF blends, low-temperature and high-temperature heat releases (LTHR and HTHR) are modeled by two Wiebe functions with ϕ ′ and PRF number dependence. The fitted model has high accuracy compared to the experimental data with R2 values generally greater than 0.97. Finally, various ignition delay correlations from the literature are also tested against the experimentally collected data and some modifications to the correlations are suggested." @default.
- W2897953573 created "2018-10-26" @default.
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- W2897953573 date "2019-02-01" @default.
- W2897953573 modified "2023-10-12" @default.
- W2897953573 title "A predictive 0-D HCCI combustion model for ethanol, natural gas, gasoline, and primary reference fuel blends" @default.
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- W2897953573 doi "https://doi.org/10.1016/j.fuel.2018.10.041" @default.
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