Prediction of gas velocity in two-phase flow using developed fuzzy logic system with differential evolution algorithm

Abstract In this investigation, differential evolution (DE) algorithm with the fuzzy inference system (FIS) are combined and the DE algorithm is employed in FIS training process. Considered data in this study were extracted from simulation of a 2D two-phase reactor in which gas was sparged from bott...

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Main Authors:	Meisam Babanezhad, Samyar Zabihi, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian
Format:	article
Language:	EN
Published:	Nature Portfolio 2021
Subjects:	Medicine R Science Q
Online Access:	https://doaj.org/article/94f2fc48996f432285d328a8a436a80b
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spelling	oai:doaj.org-article:94f2fc48996f432285d328a8a436a80b2021-12-02T14:16:58ZPrediction of gas velocity in two-phase flow using developed fuzzy logic system with differential evolution algorithm10.1038/s41598-021-81957-32045-2322https://doaj.org/article/94f2fc48996f432285d328a8a436a80b2021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-81957-3https://doaj.org/toc/2045-2322Abstract In this investigation, differential evolution (DE) algorithm with the fuzzy inference system (FIS) are combined and the DE algorithm is employed in FIS training process. Considered data in this study were extracted from simulation of a 2D two-phase reactor in which gas was sparged from bottom of reactor, and the injected gas velocities were between 0.05 to 0.11 m/s. After doing a couple of training by making some changes in DE parameters and FIS parameters, the greatest percentage of FIS capacity was achieved. By applying the optimized model, the gas phase velocity in x direction inside the reactor was predicted when the injected gas velocity was 0.08 m/s.Meisam BabanezhadSamyar ZabihiIman BehroyanAli Taghvaie NakhjiriAzam MarjaniSaeed ShirazianNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Meisam Babanezhad Samyar Zabihi Iman Behroyan Ali Taghvaie Nakhjiri Azam Marjani Saeed Shirazian Prediction of gas velocity in two-phase flow using developed fuzzy logic system with differential evolution algorithm
description	Abstract In this investigation, differential evolution (DE) algorithm with the fuzzy inference system (FIS) are combined and the DE algorithm is employed in FIS training process. Considered data in this study were extracted from simulation of a 2D two-phase reactor in which gas was sparged from bottom of reactor, and the injected gas velocities were between 0.05 to 0.11 m/s. After doing a couple of training by making some changes in DE parameters and FIS parameters, the greatest percentage of FIS capacity was achieved. By applying the optimized model, the gas phase velocity in x direction inside the reactor was predicted when the injected gas velocity was 0.08 m/s.
format	article
author	Meisam Babanezhad Samyar Zabihi Iman Behroyan Ali Taghvaie Nakhjiri Azam Marjani Saeed Shirazian
author_facet	Meisam Babanezhad Samyar Zabihi Iman Behroyan Ali Taghvaie Nakhjiri Azam Marjani Saeed Shirazian
author_sort	Meisam Babanezhad
title	Prediction of gas velocity in two-phase flow using developed fuzzy logic system with differential evolution algorithm
title_short	Prediction of gas velocity in two-phase flow using developed fuzzy logic system with differential evolution algorithm
title_full	Prediction of gas velocity in two-phase flow using developed fuzzy logic system with differential evolution algorithm
title_fullStr	Prediction of gas velocity in two-phase flow using developed fuzzy logic system with differential evolution algorithm
title_full_unstemmed	Prediction of gas velocity in two-phase flow using developed fuzzy logic system with differential evolution algorithm
title_sort	prediction of gas velocity in two-phase flow using developed fuzzy logic system with differential evolution algorithm
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/94f2fc48996f432285d328a8a436a80b
work_keys_str_mv	AT meisambabanezhad predictionofgasvelocityintwophaseflowusingdevelopedfuzzylogicsystemwithdifferentialevolutionalgorithm AT samyarzabihi predictionofgasvelocityintwophaseflowusingdevelopedfuzzylogicsystemwithdifferentialevolutionalgorithm AT imanbehroyan predictionofgasvelocityintwophaseflowusingdevelopedfuzzylogicsystemwithdifferentialevolutionalgorithm AT alitaghvaienakhjiri predictionofgasvelocityintwophaseflowusingdevelopedfuzzylogicsystemwithdifferentialevolutionalgorithm AT azammarjani predictionofgasvelocityintwophaseflowusingdevelopedfuzzylogicsystemwithdifferentialevolutionalgorithm AT saeedshirazian predictionofgasvelocityintwophaseflowusingdevelopedfuzzylogicsystemwithdifferentialevolutionalgorithm
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Prediction of gas velocity in two-phase flow using developed fuzzy logic system with differential evolution algorithm

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