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

• المؤلفون الرئيسيون: Chew, Jia Wei, Cocco, Ray A.
• مؤلفون آخرون: School of Chemical and Biomedical Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Bioengineering; Machine Learning; Mass Flux
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/152262

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...