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

doi:10.1038/s41598-021-81957-3

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

Sci Rep. 2021 Jan 27;11(1):2380. doi: 10.1038/s41598-021-81957-3.

Authors

Meisam Babanezhad^{1

2

3}, Samyar Zabihi⁴, Iman Behroyan^{5

6}, Ali Taghvaie Nakhjiri⁷, Azam Marjani^{8

9}, Saeed Shirazian¹⁰

Affiliations

¹ Institute of Research and Development, Duy Tan University, Da Nang, 550000, Vietnam.
² Faculty of Electrical-Electronic Engineering, Duy Tan University, Da Nang, 550000, Vietnam.
³ Department of Artificial Intelligence, Shunderman Industrial Strategy Co., Tehran, Iran.
⁴ Department of Process Engineering, Research and Development Department, Shazand-Arak Oil Refinery Company, Arak, Iran.
⁵ Faculty of Mechanical and Energy Engineering, Shahid Beheshti University, Tehran, Iran.
⁶ Department of Computational Fluid Dynamics, Shunderman Industrial Strategy Co., Tehran, Iran.
⁷ Department of Petroleum and Chemical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
⁸ Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Viet Nam. azam.marjani@tdtu.edu.vn.
⁹ Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, Viet Nam. azam.marjani@tdtu.edu.vn.
¹⁰ Laboratory of Computational Modeling of Drugs, South Ural State University, 76 Lenin Prospekt, Chelyabinsk, 454080, Russia.

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.