STATISTICAL ANALYSIS BY EXPERIMENTAL ERROR TREATMENT IN POWER MODELS CORRELATIONS OF PLANT OIL ..

The increasing use of vegetable oils in renewable energy sources like biodiesel necessitates a better understanding of their rheological activity.

For a better adjustment and estimation of the parameters of the implemented models, the study and statistical treatment of the dispersion of the experimental error is necessary.The statistical error treatment of experimental data of rheology of four different types of vegetable oils was carried out in this analysis using power models of the Ostwald-de-Waele type in conjunction with power models of the Ostwald-de-Waele type. Canola, soybean, sunflower, and cotton oils were investigated. The effect of ignoring the experimental points with the highest variance on the correction coefficient, standard deviation, and confidence intervalwas analysed using a statistical method. Improvements in statistical properties were observed when the experimental points with the greatest variance were ignored, especially in the oils with the worst model change.The dilatant rheological action of the studied oils is shown by the obtained exponents of the power model, which are greater than unit. The statistical treatment of the experimental data to achieve more precise rheological parameters is justified because there is a substantial variance in the exponent values for minor variations in the power model change.

Please see the link - https://ikprress.org/index.php/JOBARI/article/view/6210