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Updated: Nov 19, 2025

High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition
Published on: June 27, 2025
Prediction of gas velocity in two-phase flow using developed fuzzy logic system with differential evolution algorithm
Meisam Babanezhad1,2,3, Samyar Zabihi4, Iman Behroyan5,6
1Institute of Research and Development, Duy Tan University, Da Nang, 550000, Vietnam.
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.
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