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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Autores principales: Meisam Babanezhad, Samyar Zabihi, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian
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Publicado: Nature Portfolio 2021
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Acceso en línea: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
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AT imanbehroyan predictionofgasvelocityintwophaseflowusingdevelopedfuzzylogicsystemwithdifferentialevolutionalgorithm
AT alitaghvaienakhjiri predictionofgasvelocityintwophaseflowusingdevelopedfuzzylogicsystemwithdifferentialevolutionalgorithm
AT azammarjani predictionofgasvelocityintwophaseflowusingdevelopedfuzzylogicsystemwithdifferentialevolutionalgorithm
AT saeedshirazian predictionofgasvelocityintwophaseflowusingdevelopedfuzzylogicsystemwithdifferentialevolutionalgorithm
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