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The paper aims to improve biodiesel production from used cooking oils using response surface methodology (RSM). The influence of important factors on biodiesel yield has been investigated by employing a 5-level-3-factor central composite design (CCD). The findings revealed that these factors have considerable impacts on the yield. Besides, fixing temperature value had no detrimental influence on the effectiveness of having adequate mathematical model and obtaining good results. According to the analysis of variance (ANOVA), the molar ratio was found to be the most significant factor. Besides, a second-order models (R2=0.88) were obtained to anticipate the yield as a function of these variables. It is also found that the following ranges of the studied factors can be used to obtain an optimal biodiesel yield: [6.66:1, 8.72:1], [41.62 min, 78.90 min], and [0.91 wt %, 1.79 wt %] for molar ratio, reaction time, and catalyst amount, respectively.
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