Analysis of Waste Groundnut Oil Biodiesel Production Using Response Surface Methodology and Artificial Neural Network

Analysis of Waste Groundnut Oil Biodiesel Production Using Response Surface Methodology and Artificial Neural Network

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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 parame- ters was carried out in this research work. Box–Benkhen experimental design was adopted and the four process parameters considered were...
 
Published at Chemical Data Collections
Volume 22
Pages 1-9
Published in 2019
 
Download 1.34 MB
 
visit (https://www.sciencedirect.com/science/article/pii/S2405830019301272)
 
 
A .A . Ayoola, F.K. Hymore, C.A. Omonhinmin, O.C. Olawole, O.S.I. Fayomi, D. Babatunde, O. Fagbiele
OLAWOLE OLUKUNLE CHARLES » Olukunle Charles Olawole currently works at the Material/Energy unit in the Department of Physics, Covenant University Ota Ogun. His areas of expertise span the nature of electron emissions in semiconductor materials and nanomaterials view full profile
OLAWOLE OLUKUNLE CHARLES
 
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