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

• المؤلفون الرئيسيون: Tanudjaja, Henry Jonathan, Chew, Jia Wei
• مؤلفون آخرون: School of Chemical and Biomedical Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Chemical engineering; Crossflow Microfiltration; Machine-Learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/161990
• المؤسسة: 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...