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J. Chem. Eng. Data In Journal of Chemical & Engineering Data (16 October 2012), doi:10.1021/je300838n Key: citeulike:11519983
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This work presents density (?) and viscosity (?) data and correlations of binary and ternary blends containing soybean oil, soybean biodiesel, and petroleum diesel. The data were obtained for different composition ranges, for binary blends data were obtained in a mass fraction (w) in an interval of 0.100 to 0.900. Additionally, ternary data were taken by a random range, at T = (293.15, 313.15, 333.15, 353.15, and 373.15) K, at atmospheric pressure. The experimental data were compared to predictive models based on group contribution method. Density and viscosity data were correlated by a temperature and composition equation (T and w, as independent variables). A statistical analysis has been designed by using chi-square distribution, which revealed an agreement between experimental and estimated data better than 99.5 %.
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