Application of machine learning-based models to understand and predict critical flux of oil-in-water emulsion in crossflow microfiltration

• Main Authors: Tanudjaja, Henry Jonathan, Chew, Jia Wei
• Other Authors: School of Chemical and Biomedical Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Chemical engineering; Crossflow Microfiltration; Machine-Learning
• Online Access: https://hdl.handle.net/10356/161990
• Institution: Nanyang Technological University

Random Forest (RF) and Neural Network (NN), respectively, were employed to understand and predict the critical flux (Jcrit) of oil-in-water emulsions in crossflow microfiltration. A total of 223 data sets from various studies were compiled, with nine operational parameters and one target variable of...