[HTML][HTML] Analysis of waste groundnut oil biodiesel production using response surface methodology and artificial neural network
Investigation on the use of KOH and NaOH catalysts for waste groundnut oil (WGO)
biodiesel production, as well as the comparative adoption of response surface methodology
(RSM) and artificial neural network (ANN) for the modelling of yield and process parameters
was carried out in this research work. Box–Benkhen experimental design was adopted and
the four process parameters considered were methanol-oil mole ratio (6–12), catalyst
concentration (0.7–1.7 wt%), reaction temperature (48–62° C) and reaction time (50–90 …
biodiesel production, as well as the comparative adoption of response surface methodology
(RSM) and artificial neural network (ANN) for the modelling of yield and process parameters
was carried out in this research work. Box–Benkhen experimental design was adopted and
the four process parameters considered were methanol-oil mole ratio (6–12), catalyst
concentration (0.7–1.7 wt%), reaction temperature (48–62° C) and reaction time (50–90 …
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