Optimization of cerbera manghas biodiesel production using artificial neural networks integrated with ant colony optimization

Ant colony optimization; Esters; Kinetic theory; Neural networks; Physicochemical properties; Transesterification; Artificial neural network models; Biodiesel production; Cerbera manghas oil; Experimental values; Kinetic study; Process parameters; Transesterification process; Trial and error; Biodie...

Full description

Saved in:

Bibliographic Details
Main Authors:	Silitonga A.S., Mahlia T.M.I., Shamsuddin A.H., Ong H.C., Milano J., Kusumo F., Sebayang A.H., Dharma S., Ibrahim H., Husin H., Mofijur M., Rahman S.M.A.
Other Authors:	39262559400
Format:	Article
Published:	MDPI AG 2023
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Universiti Tenaga Nasional

id	my.uniten.dspace-24373
record_format	dspace
spelling	my.uniten.dspace-243732023-05-29T15:23:04Z Optimization of cerbera manghas biodiesel production using artificial neural networks integrated with ant colony optimization Silitonga A.S. Mahlia T.M.I. Shamsuddin A.H. Ong H.C. Milano J. Kusumo F. Sebayang A.H. Dharma S. Ibrahim H. Husin H. Mofijur M. Rahman S.M.A. 39262559400 56997615100 35779071900 55310784800 57052617200 56611974900 39262519300 57217370281 57196724785 26428224700 57204492012 57201359295 Ant colony optimization; Esters; Kinetic theory; Neural networks; Physicochemical properties; Transesterification; Artificial neural network models; Biodiesel production; Cerbera manghas oil; Experimental values; Kinetic study; Process parameters; Transesterification process; Trial and error; Biodiesel Optimizing the process parameters of biodiesel production is the key to maximizing biodiesel yields. In this study, artificial neural network models integrated with ant colony optimization were developed to optimize the parameters of the two-step Cerbera manghas biodiesel production process: (1) esterification and (2) transesterification. The parameters of esterification and transesterification processes were optimized to minimize the acid value and maximize the C. manghas biodiesel yield, respectively. There was excellent agreement between the average experimental values and those predicted by the artificial neural network models, indicating their reliability. These models will be useful to predict the optimum process parameters, reducing the trial and error of conventional experimentation. The kinetic study was conducted to understand the mechanism of the transesterification process and, lastly, the model could measure the physicochemical properties of the C. manghas biodiesel. � 2019 by the authors. Final 2023-05-29T07:23:04Z 2023-05-29T07:23:04Z 2019 Article 10.3390/en12203811 2-s2.0-85074968976 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074968976&doi=10.3390%2fen12203811&partnerID=40&md5=a8e209ed2b83c6eef77e8d38bf0fc843 https://irepository.uniten.edu.my/handle/123456789/24373 12 20 3811 All Open Access, Gold, Green MDPI AG Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
description	Ant colony optimization; Esters; Kinetic theory; Neural networks; Physicochemical properties; Transesterification; Artificial neural network models; Biodiesel production; Cerbera manghas oil; Experimental values; Kinetic study; Process parameters; Transesterification process; Trial and error; Biodiesel
author2	39262559400
author_facet	39262559400 Silitonga A.S. Mahlia T.M.I. Shamsuddin A.H. Ong H.C. Milano J. Kusumo F. Sebayang A.H. Dharma S. Ibrahim H. Husin H. Mofijur M. Rahman S.M.A.
format	Article
author	Silitonga A.S. Mahlia T.M.I. Shamsuddin A.H. Ong H.C. Milano J. Kusumo F. Sebayang A.H. Dharma S. Ibrahim H. Husin H. Mofijur M. Rahman S.M.A.
spellingShingle	Silitonga A.S. Mahlia T.M.I. Shamsuddin A.H. Ong H.C. Milano J. Kusumo F. Sebayang A.H. Dharma S. Ibrahim H. Husin H. Mofijur M. Rahman S.M.A. Optimization of cerbera manghas biodiesel production using artificial neural networks integrated with ant colony optimization
author_sort	Silitonga A.S.
title	Optimization of cerbera manghas biodiesel production using artificial neural networks integrated with ant colony optimization
title_short	Optimization of cerbera manghas biodiesel production using artificial neural networks integrated with ant colony optimization
title_full	Optimization of cerbera manghas biodiesel production using artificial neural networks integrated with ant colony optimization
title_fullStr	Optimization of cerbera manghas biodiesel production using artificial neural networks integrated with ant colony optimization
title_full_unstemmed	Optimization of cerbera manghas biodiesel production using artificial neural networks integrated with ant colony optimization
title_sort	optimization of cerbera manghas biodiesel production using artificial neural networks integrated with ant colony optimization
publisher	MDPI AG
publishDate	2023
_version_	1806427545214648320

Optimization of cerbera manghas biodiesel production using artificial neural networks integrated with ant colony optimization

Similar Items