Modeling of ultrasound assisted intensification of biodiesel production from neem (Azadirachta indica) oil using response surface methodology and artificial neural network

•First report on ultrasound assisted biodiesel production from neem oil.•Response surface and artificial neural network approach is used for modeling.•Comparison of prediction and generalization abilities of RSM and ANN model.•ANN was superior to RSM for predicting FAME conversion from neem oil. In...

Full description

Saved in:
Bibliographic Details
Published in:Fuel (Guildford) 2015-03, Vol.143, p.262-267
Main Authors: Prakash Maran, J., Priya, B.
Format: Article
Language:English
Subjects:
ANN
Biodiesel
Neem oil
RSM
Ultrasound
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:•First report on ultrasound assisted biodiesel production from neem oil.•Response surface and artificial neural network approach is used for modeling.•Comparison of prediction and generalization abilities of RSM and ANN model.•ANN was superior to RSM for predicting FAME conversion from neem oil. In the present work, modeling of ultrasound-assisted intensification of biodiesel production from neem (Azadirachta indica) oil was investigated using four factors three level central composite rotatable design (CCRD) of response surface methodology (RSM). The experimental data obtained through CCRD was used to train the artificial neural network (ANN) model. RSM and ANN models were developed and compared for their predictive and generalization abilities. To evaluate the accuracy of results, additional experiments were conducted which does not belong to experimental design. The results showed that, both models having the ability to predict the experimental data, but ANN was found to be more reliable and superior than RSM.
ISSN:0016-2361
1873-7153
DOI:10.1016/j.fuel.2014.11.058