Correction of Terminal Velocity Prediction Model for CO2-Kerosene and Air-Kerosene Systems by Artificial Intelligence

Autor: Bahram Hashemi Shahraki, Masoud Aghajani, Sadra Mahmoudi
Rok vydání: 2017
Předmět:
Zdroj: Software Engineering (Science Publishing Group). 5:65
ISSN: 2376-8029
Popis: In this study the essential factors of rising air and CO2 bubbles in distillated water and kerosene investigate with the experimental and theoretical attitude. Many formulas developed by pervious investigators for bubble terminal velocity prediction in air-water system. By using PSO (particle swarm optimization) algorithm and plotting experimental data of terminal velocity against the size of gas bubbles, suitable was chosen. Results showed that Jamialahmadi model is more practical for air-water and CO2-water system. The main aim of this paper is to validate and correct Jamialahmadi model for predicting of bubble’s terminal velocities in air-kerosene and CO2-kerosene systems. Jamialahmadi model requires a modification to be utilized for air-kerosene and CO2-kerosene system. The developed PSO algorithm model is accurate for prediction of experimental data with an average R2 value of 0.976.
Databáze: OpenAIRE