Application of machine learning methods to understand and predict circulating fluidized bed riser flow characteristics

• Main Authors: Chew, Jia Wei, Cocco, Ray A.
• Other Authors: School of Chemical and Biomedical Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Bioengineering; Machine Learning; Mass Flux
• Online Access: https://hdl.handle.net/10356/152262
• Institution: Nanyang Technological University

Machine learning methods were applied to circulating fluidized bed (CFB) riser data. The goals were to (i) provide insights on various fluidization phenomena through determining the relative dominance of the process variables, and (ii) develop a model to provide predictive capability in the absence...