Correction of Terminal Velocity Prediction Model for CO 2-Kerosene and Air-Kerosene Systems by Artificial Intelligence

In this study the essential factors of rising air and CO 2 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 CO 2-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 CO 2-kerosene systems. Jamialahmadi model requires a modification to be utilized for air-kerosene and CO 2-kerosene system. The developed PSO algorithm model is accurate for prediction of experimental data with an average R 2 value of 0.976.