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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2021-01-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-021-81957-3 |
| _version_ | 1818570846521786368 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-14T13:47:20Z |
| format | Article |
| id | doaj.art-94f2fc48996f432285d328a8a436a80b |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-14T13:47:20Z |
| publishDate | 2021-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-94f2fc48996f432285d328a8a436a80b2022-12-21T22:59:16ZengNature PortfolioScientific Reports2045-23222021-01-0111111410.1038/s41598-021-81957-3Prediction of gas velocity in two-phase flow using developed fuzzy logic system with differential evolution algorithmMeisam Babanezhad0Samyar Zabihi1Iman Behroyan2Ali Taghvaie Nakhjiri3Azam Marjani4Saeed Shirazian5Institute of Research and Development, Duy Tan UniversityDepartment of Process Engineering, Research and Development Department, Shazand-Arak Oil Refinery CompanyFaculty of Mechanical and Energy Engineering, Shahid Beheshti UniversityDepartment of Petroleum and Chemical Engineering, Science and Research Branch, Islamic Azad UniversityDepartment for Management of Science and Technology Development, Ton Duc Thang UniversityLaboratory of Computational Modeling of Drugs, South Ural State UniversityAbstract 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.https://doi.org/10.1038/s41598-021-81957-3 |
| spellingShingle | 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 Scientific Reports |
| title | 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_short | 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 |
| url | https://doi.org/10.1038/s41598-021-81957-3 |
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