Prediction of flow characteristics in the bubble column reactor by the artificial pheromone-based communication of biological ants

Abstract

A novel combination of the ant colony optimization algorithm (ACO)and computational fluid dynamics (CFD) data is proposed for modeling the multiphase chemical reactors. The proposed intelligent model presents a probabilistic computational strategy for predicting various levels of three-dimensional bubble column reactor (BCR) flow. The results prove an enhanced communication between ant colony prediction and CFD data in different sections of the BCR.

Keywords

• bubble column reactor
• ant colony optimization algorithm (aco)
• flow pattern
• machine learning
• computational fluid dynamics (cfd)
• big data