IEEE Data(base) Engineering Bulletin · 2007 · 122 citations · 67 references
ComputingData ScienceInformation SystemsData ManagementData MiningUncertainty QuantificationProbabilistic ModelingSocial Network AnalysisSocial Network MiningSocial NetworksNetwork Data UncertaintyUncertain Data ModelingUncertain DatabasesUncertainty Propagation In Networks
Diesel fuel and corn oil are mixed in the 80:20 volumetric ratio. Dimethyl carbonate and gasoline are added to diesel fuel + corn oil blend in 4:96, 6:94, 8:92, and 10:90 volumetric ratios to obtain ternary blends. Effects of ternary blends on the performance and combustion characteristics of a diesel engine are investigated under different engine speeds (1000-2500 rpm). 3D Lagrange interpolation method is applied to measured data of dimethyl carbonate blends to predict the engine speed, blending ratio, and crank angle giving maximum peak pressure and peak heat release rate. On average, dimethyl carbonate blends and gasoline blends show 4.3642-12.1578% and 1.0323-8.6843% reduction in effective power, and 1.4938-3.4322% and 4.3357-8.7188% reduction in effective efficiency, respectively, relative to diesel fuel. On average, there is a reduction in cylinder peak pressure (4.6701-7.3418%; 4.0457-6.2025%) and peak heat release rate (0.8020-4.5627%; 0.4-1.2654%) for dimethyl carbonate blends and gasoline blends, respectively, compared to diesel fuel. Because of low relative errors (1.0551% and 1.4553%), 3D Lagrange provides well accuracy in the prediction of maximum peak pressure and peak heat release rate. On average, dimethyl carbonate blends produce less CO (7.4744-17.5424%), HC (15.5410-29.5501%) and smoke (14.1767-25.2834%) emissions, compared with diesel fuel.
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