Integration of machine learning and CFD for modeling mass transfer in water treatment using membrane separation process

Integration of machine learning and CFD for modeling mass transfer in water treatment using membrane separation process

Abstract This study aims to assess the efficacy of machine learning models in predicting solute concentration (C) distribution in a membrane separation process, using the input parameters which are spatial coordinates. Computational fluid dynamics (CFD) was employed with machine learning for simulat...

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Bibliographic Details
Main Authors: Kamal Y. Thajudeen, Mohammed Muqtader Ahmed, Saad Ali Alshehri
Format: Article
Language:English
Published: Nature Portfolio 2024-10-01
Series:Scientific Reports
Subjects:
Membranes
Mass transfer
CFD
Multi-layer perceptron
Harris Hawks optimization
Online Access:https://doi.org/10.1038/s41598-024-74530-1

Internet

https://doi.org/10.1038/s41598-024-74530-1

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