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.
Original language | English |
---|---|
Pages (from-to) | 367-378 |
Number of pages | 12 |
Journal | Engineering Applications of Computational Fluid Mechanics |
Volume | 14 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Jan 2020 |
Keywords
- ant colony optimization algorithm (ACO)
- big data
- Bubble column reactor
- computational fluid dynamics (CFD)
- flow pattern
- machine learning
ASJC Scopus subject areas
- Computer Science(all)
- Modelling and Simulation