Affordable Access

Access to the full text

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

Authors
  • Babanezhad, Meisam1, 1, 2
  • Zabihi, Samyar3
  • Behroyan, Iman4, 2
  • Nakhjiri, Ali Taghvaie5
  • Marjani, Azam6, 6
  • Shirazian, Saeed7
  • 1 Duy Tan University, Da Nang, 550000, Vietnam , Da Nang (Vietnam)
  • 2 Shunderman Industrial Strategy Co., Tehran, Iran , Tehran (Iran)
  • 3 Shazand-Arak Oil Refinery Company, Arak, Iran , Arak (Iran)
  • 4 Shahid Beheshti University, Tehran, Iran , Tehran (Iran)
  • 5 Islamic Azad University, Tehran, Iran , Tehran (Iran)
  • 6 Ton Duc Thang University, Ho Chi Minh City, Viet Nam , Ho Chi Minh City (Vietnam)
  • 7 South Ural State University, 76 Lenin Prospekt, Chelyabinsk, 454080, Russia , Chelyabinsk (Russia)
Type
Published Article
Journal
Scientific Reports
Publisher
Springer Nature
Publication Date
Jan 27, 2021
Volume
11
Issue
1
Identifiers
DOI: 10.1038/s41598-021-81957-3
Source
Springer Nature
License
Green

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.

Report this publication

Statistics

Seen <100 times