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

Meisam Babanezhad, Samyar Zabihi, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian

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Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Meisam BabanezhadInstitute of Research and Development, Duy Tan University, Da Nang, 550000, Vietnam.

Samyar ZabihiDepartment of Process Engineering, Research and Development Department, Shazand-Arak Oil Refinery Company, Arak, Iran.

Iman BehroyanFaculty of Mechanical and Energy Engineering, Shahid Beheshti University, Tehran, Iran.

Ali Taghvaie NakhjiriDepartment of Petroleum and Chemical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Azam MarjaniDepartment for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Viet Nam. azam.marjani@tdtu.edu.vn.

Saeed ShirazianLaboratory of Computational Modeling of Drugs, South Ural State University, 76 Lenin Prospekt, Chelyabinsk, 454080, Russia.

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6 · The paper itself

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.

Identifiers

PMID33504889

DOI10.1016/j.ces.2009.02.040

PMCPMC7840922

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