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About Chemical Engineering Science
This document presents a study that integrates first-principle models and machine learning to model flocculation processes. Specifically, it combines population balance and mass balance models with kinetic expressions for aggregation and breakage, and uses machine learning to predict kinetic parameters. This hybrid modeling approach is shown to accurately predict flocculation dynamics. The approach is compared to a fully first-principles model and a prior hybrid model using population balance and deep learning. Accurately modeling flocculation helps optimize processes in industries like water treatment by enabling better control and monitoring with less manual intervention.
Detailed Information
| Author: | ['Samlesh Choudhury'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 19 |
| Language: | English |
| Format: | |
| Price: | FREE |
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