Main Article Content
The growing use of vegetable oils in renewable energy sources such as biodiesel justifies a better understanding of the rheological behavior of these raw materials. The analysis and statistical treatment of the dispersion of the experimental error is fundamental for a better adjustment and estimation of the parameters of the applied models. In this study, the statistical error treatment of the experimental data of rheology of four different types of vegetable oils was carried out in the correlation with power models of the Ostwald-de-Waele type. The oils studied were canola, soybean, sunflower and cotton. The applied statistical approach evaluated the influence of disregarding the experimental points with the largest deviation in the result of the correction coefficient, standard deviation and confidence interval. Improvements in statistical properties were observed with the disregard of the experimental points with the greatest deviation, especially in those oils with the worst adjustment of the model. The obtained exponents of the power model, greater than unit, show that the studied oils show dilatant rheological behavior. There is a significant variation in the exponent values for small variations in the power model adjustment, which justifies the statistical treatment of the experimental data to obtain more accurate rheological parameters.
Giwa SO, Chuah LA, Adam NM. Fuel properties and rheological behavior of biodiesel from egusi (Colocynthis citrullus L.) seed kernel oil, Fuel Processing Technology. 20141;22:42-48.
Li H, Wang J, Shen B. The rheological properties of biodiesel derived from cottonseed oil, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. 2016; 38(1):3181-3186.
Candeia RA, Sinfrônio F, Bicudo T, Queiroz N, Barros Filho A, Soledade L, et al. Influence of the storage on the thermo-oxidative stability of methyl and ethyl esters by PDSC, Journal of Thermal Analysis and Calorimetry. 2011; 106(2):581-586.
Rodrigues Filho MG, Souza AG, Santos IMG, Bicudo TC, Silva MCD, Sinfrônio FSM, et al. Antioxidative properties of hydrogenated cardanol for cotton biodiesel by PDSC and UV/VIS. Journal of Thermal Analysis. 2009; 97:605-609.
Carlsson AS. Plant oils as feedstock alternatives to petroleum - a Short Survey of Potential Oil Crop Platforms, Biochimie. 2009;91(6):665-670.
Yuan W, Hansen AC, Zhang Q. Predicting the temperature dependent viscosity of biodiesel fuels. Fuel. 2009;88(6):1120-1126.
Domínguez YD, Danger Tabio García DT, Goyos-Pérez L, Santana EF. Rheological behavior and properties of biodiesel and vegetable oil from Moringa oleifera Lam. Afinidad –Barcelona. 2019;76(587):83-89.
Tesfa B, Mishra R, Gu F, Powles N. Prediction models for density and viscosity of biodiesel and their effects on fuel supply system in CI engines, Renewable Energy. 2010;35(12): 2752-2760.
Zheng Y, Shadloo MS, Nasiri H, Maleki A, Karimipour A, Tlili I. Prediction of viscosity of biodiesel blends using various artificial model and comparison with empirical correlations, Renewable Energy. 2020;153:1296-1306.
Gao Y, Li K. New models for calculating the viscosity of mixed oil. Fuel. 2012;95:431- 437.
Câmara LD, Santana C, Silva Neto AJ. Kinetic modeling of proteins adsorption with a methodology of error analysis. Journal of Separation Science. 2007;30:688–692.
Silva LE, Santos CAC, Ribeiro JES, Souza CC, Sant'Ana AMS. Rheological analysis of vegetable oils used for biodiesel production in Brazil. Thermal Engineering. 2015;14(2): 31-36.