Elemental, Thermal and Physicochemical Investigation of Novel Biodiesel from Wodyetia Bifurcata and Its Properties Optimization using Artificial Neural Network (ANN)

In this study, an unexplored oil from the wodyetia bifurcata fruit was used for biodiesel production. The transesterification process was implemented to convert the raw oil into wodyetia bifurcata methyl ester (WBME) and the influence of process variables on WBME yield was examined with the respons...

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Autores principales:	Aditya Kolakoti, Bobbili Prasadarao, Katakam Satyanarayana, Muji Setiyo, Hasan Köten, Metta Raghu
Formato:	article
Lenguaje:	EN ID
Publicado:	Universitas Muhammadiyah Magelang 2021
Materias:	Wodyetia Bifurcata Biodiesel Foxtail tree Fuel properties ANN RSM Mechanical engineering and machinery TJ1-1570 Mechanics of engineering. Applied mechanics TA349-359
Acceso en línea:	https://doaj.org/article/463383736aa94b02952dc95654560ed7
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spelling	oai:doaj.org-article:463383736aa94b02952dc95654560ed72021-11-26T09:51:40ZElemental, Thermal and Physicochemical Investigation of Novel Biodiesel from Wodyetia Bifurcata and Its Properties Optimization using Artificial Neural Network (ANN)10.31603/ae.61712615-62022615-6636https://doaj.org/article/463383736aa94b02952dc95654560ed72021-11-01T00:00:00Zhttps://journal.unimma.ac.id/index.php/AutomotiveExperiences/article/view/6171https://doaj.org/toc/2615-6202https://doaj.org/toc/2615-6636 In this study, an unexplored oil from the wodyetia bifurcata fruit was used for biodiesel production. The transesterification process was implemented to convert the raw oil into wodyetia bifurcata methyl ester (WBME) and the influence of process variables on WBME yield was examined with the response surface method (RSM) assisted Box-Behnken optimization. The results of RSM show that a maximum biodiesel yield of 94.67% was achieved and reaction time was identified as an influencing process variable. The fatty acid composition (FAC) from chromatography reveals the presence of highly unsaturated in WBME and the significant fuel properties of thermal and molecular meet the required fuel standards (ASTM). The obtained fuel properties of WBME are compared with other popularly used biodiesels and observed low kinematic viscosity (3.87mm2/sec) and moderated cetane number (53) for WBME. Furthermore, artificial neural network (ANN) tools are used for the prediction of WBME yield and show an improvement of 0.4% than RSM and low mean square error and a high coefficient of correlation was observed for ANN. Aditya KolakotiBobbili PrasadaraoKatakam SatyanarayanaMuji SetiyoHasan KötenMetta RaghuUniversitas Muhammadiyah MagelangarticleWodyetia BifurcataBiodieselFoxtail treeFuel propertiesANNRSMMechanical engineering and machineryTJ1-1570Mechanics of engineering. Applied mechanicsTA349-359ENIDAutomotive Experiences, Vol 5, Iss 1 (2021)
institution	DOAJ
collection	DOAJ
language	EN ID
topic	Wodyetia Bifurcata Biodiesel Foxtail tree Fuel properties ANN RSM Mechanical engineering and machinery TJ1-1570 Mechanics of engineering. Applied mechanics TA349-359
spellingShingle	Wodyetia Bifurcata Biodiesel Foxtail tree Fuel properties ANN RSM Mechanical engineering and machinery TJ1-1570 Mechanics of engineering. Applied mechanics TA349-359 Aditya Kolakoti Bobbili Prasadarao Katakam Satyanarayana Muji Setiyo Hasan Köten Metta Raghu Elemental, Thermal and Physicochemical Investigation of Novel Biodiesel from Wodyetia Bifurcata and Its Properties Optimization using Artificial Neural Network (ANN)
description	In this study, an unexplored oil from the wodyetia bifurcata fruit was used for biodiesel production. The transesterification process was implemented to convert the raw oil into wodyetia bifurcata methyl ester (WBME) and the influence of process variables on WBME yield was examined with the response surface method (RSM) assisted Box-Behnken optimization. The results of RSM show that a maximum biodiesel yield of 94.67% was achieved and reaction time was identified as an influencing process variable. The fatty acid composition (FAC) from chromatography reveals the presence of highly unsaturated in WBME and the significant fuel properties of thermal and molecular meet the required fuel standards (ASTM). The obtained fuel properties of WBME are compared with other popularly used biodiesels and observed low kinematic viscosity (3.87mm2/sec) and moderated cetane number (53) for WBME. Furthermore, artificial neural network (ANN) tools are used for the prediction of WBME yield and show an improvement of 0.4% than RSM and low mean square error and a high coefficient of correlation was observed for ANN.
format	article
author	Aditya Kolakoti Bobbili Prasadarao Katakam Satyanarayana Muji Setiyo Hasan Köten Metta Raghu
author_facet	Aditya Kolakoti Bobbili Prasadarao Katakam Satyanarayana Muji Setiyo Hasan Köten Metta Raghu
author_sort	Aditya Kolakoti
title	Elemental, Thermal and Physicochemical Investigation of Novel Biodiesel from Wodyetia Bifurcata and Its Properties Optimization using Artificial Neural Network (ANN)
title_short	Elemental, Thermal and Physicochemical Investigation of Novel Biodiesel from Wodyetia Bifurcata and Its Properties Optimization using Artificial Neural Network (ANN)
title_full	Elemental, Thermal and Physicochemical Investigation of Novel Biodiesel from Wodyetia Bifurcata and Its Properties Optimization using Artificial Neural Network (ANN)
title_fullStr	Elemental, Thermal and Physicochemical Investigation of Novel Biodiesel from Wodyetia Bifurcata and Its Properties Optimization using Artificial Neural Network (ANN)
title_full_unstemmed	Elemental, Thermal and Physicochemical Investigation of Novel Biodiesel from Wodyetia Bifurcata and Its Properties Optimization using Artificial Neural Network (ANN)
title_sort	elemental, thermal and physicochemical investigation of novel biodiesel from wodyetia bifurcata and its properties optimization using artificial neural network (ann)
publisher	Universitas Muhammadiyah Magelang
publishDate	2021
url	https://doaj.org/article/463383736aa94b02952dc95654560ed7
work_keys_str_mv	AT adityakolakoti elementalthermalandphysicochemicalinvestigationofnovelbiodieselfromwodyetiabifurcataanditspropertiesoptimizationusingartificialneuralnetworkann AT bobbiliprasadarao elementalthermalandphysicochemicalinvestigationofnovelbiodieselfromwodyetiabifurcataanditspropertiesoptimizationusingartificialneuralnetworkann AT katakamsatyanarayana elementalthermalandphysicochemicalinvestigationofnovelbiodieselfromwodyetiabifurcataanditspropertiesoptimizationusingartificialneuralnetworkann AT mujisetiyo elementalthermalandphysicochemicalinvestigationofnovelbiodieselfromwodyetiabifurcataanditspropertiesoptimizationusingartificialneuralnetworkann AT hasankoten elementalthermalandphysicochemicalinvestigationofnovelbiodieselfromwodyetiabifurcataanditspropertiesoptimizationusingartificialneuralnetworkann AT mettaraghu elementalthermalandphysicochemicalinvestigationofnovelbiodieselfromwodyetiabifurcataanditspropertiesoptimizationusingartificialneuralnetworkann
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Elemental, Thermal and Physicochemical Investigation of Novel Biodiesel from Wodyetia Bifurcata and Its Properties Optimization using Artificial Neural Network (ANN)

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