Effect of Operating Parameters on Ethanol–Water Vacuum Separation in an Ethanol Dehydration Apparatus and Process Modeling with ANN

Bioethanol has been found to be a suitable substitute for gasoline in internal combustion engines. It could be used either in an undiluted form or blended with gasoline. To blend the ethanol and gasoline, the water content of ethanol should reach 0.5% or less. In the present research work, 3A Zeolit...

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Main Authors:	S., Karimi, B., Ghobadian, G., Najafi, A., Nikian, R., Mamat
Format:	Article
Published:	De Gruyter 2014
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/9486/ http://umpir.ump.edu.my/id/eprint/9486/

id	ump-9486
recordtype	eprints
spelling	ump-94862018-01-30T07:34:02Z http://umpir.ump.edu.my/id/eprint/9486/ Effect of Operating Parameters on Ethanol–Water Vacuum Separation in an Ethanol Dehydration Apparatus and Process Modeling with ANN S., Karimi B., Ghobadian G., Najafi A., Nikian R., Mamat TJ Mechanical engineering and machinery Bioethanol has been found to be a suitable substitute for gasoline in internal combustion engines. It could be used either in an undiluted form or blended with gasoline. To blend the ethanol and gasoline, the water content of ethanol should reach 0.5% or less. In the present research work, 3A Zeolite was used as an absorbent with vacuum distillation. The effects of the operating parameters such as temperature, vacuum pressure and vapor flow rate on ethanol–water separation were investigated. Final ethanol concentration was obtained at the end of every run as well as the concentration of outlet ethanol. Both linear regression and ANN design were used to determine the best fit for two final parameters. The optimum condition was obtained at 0.4 bar vacuum pressure and 20 l/min ethanol–water vapor flow rate. ANN model is more qualified to the simulation of outspread data while the linear regression is not. L10L10 mode and L5T10 mode provide the best results for final concentration and total time, respectively. The Trainlm Algorithm like the previous research training algorithm is the best. De Gruyter 2014 Article PeerReviewed S., Karimi and B., Ghobadian and G., Najafi and A., Nikian and R., Mamat (2014) Effect of Operating Parameters on Ethanol–Water Vacuum Separation in an Ethanol Dehydration Apparatus and Process Modeling with ANN. Chemical Product and Process Modeling, 9 (2). pp. 179-191. ISSN 2194-6159 (print); 1934-2659 (online) http://dx.doi.org/10.1515/cppm-2014-0016
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery S., Karimi B., Ghobadian G., Najafi A., Nikian R., Mamat Effect of Operating Parameters on Ethanol–Water Vacuum Separation in an Ethanol Dehydration Apparatus and Process Modeling with ANN
description	Bioethanol has been found to be a suitable substitute for gasoline in internal combustion engines. It could be used either in an undiluted form or blended with gasoline. To blend the ethanol and gasoline, the water content of ethanol should reach 0.5% or less. In the present research work, 3A Zeolite was used as an absorbent with vacuum distillation. The effects of the operating parameters such as temperature, vacuum pressure and vapor flow rate on ethanol–water separation were investigated. Final ethanol concentration was obtained at the end of every run as well as the concentration of outlet ethanol. Both linear regression and ANN design were used to determine the best fit for two final parameters. The optimum condition was obtained at 0.4 bar vacuum pressure and 20 l/min ethanol–water vapor flow rate. ANN model is more qualified to the simulation of outspread data while the linear regression is not. L10L10 mode and L5T10 mode provide the best results for final concentration and total time, respectively. The Trainlm Algorithm like the previous research training algorithm is the best.
format	Article
author	S., Karimi B., Ghobadian G., Najafi A., Nikian R., Mamat
author_facet	S., Karimi B., Ghobadian G., Najafi A., Nikian R., Mamat
author_sort	S., Karimi
title	Effect of Operating Parameters on Ethanol–Water Vacuum Separation in an Ethanol Dehydration Apparatus and Process Modeling with ANN
title_short	Effect of Operating Parameters on Ethanol–Water Vacuum Separation in an Ethanol Dehydration Apparatus and Process Modeling with ANN
title_full	Effect of Operating Parameters on Ethanol–Water Vacuum Separation in an Ethanol Dehydration Apparatus and Process Modeling with ANN
title_fullStr	Effect of Operating Parameters on Ethanol–Water Vacuum Separation in an Ethanol Dehydration Apparatus and Process Modeling with ANN
title_full_unstemmed	Effect of Operating Parameters on Ethanol–Water Vacuum Separation in an Ethanol Dehydration Apparatus and Process Modeling with ANN
title_sort	effect of operating parameters on ethanol–water vacuum separation in an ethanol dehydration apparatus and process modeling with ann
publisher	De Gruyter
publishDate	2014
url	http://umpir.ump.edu.my/id/eprint/9486/ http://umpir.ump.edu.my/id/eprint/9486/
first_indexed	2023-09-18T22:08:07Z
last_indexed	2023-09-18T22:08:07Z
_version_	1777414845165993984

Effect of Operating Parameters on Ethanol–Water Vacuum Separation in an Ethanol Dehydration Apparatus and Process Modeling with ANN

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