This study demonstrates enhanced biodiesel yield through effective design of experiments, indicating optimal parameters for production efficiency.
This study deploys the Design of Experiments (DoE) techniques to improve the biodiesel production process from tung oil. Biodiesel from vegetable oils, animal fat, and algae are promising for sustainable energy production, depending on various factors, such as Molar Ratio (MR), Catalyst Concentration (CC), Reaction Time (RT), and Reaction Temperature (RTemp). In order to obtain the best process conditions, this study used the Taguchi model of L16 orthogonal array combined with Signal-to-Noise Ratio (SNR) and Analysis of Variance (ANOVA). The results were analyzed utilizing MINITAB-21 statistical software to predict optimal process parameters.
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Gadhave et al. (2025) studied this question.
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