Application of Machine Learning-Based Models to Understand and Predict Critical Flux of Oil-in-Water Emulsion in Crossflow Microfiltration-Reference-Cited by-同舟云学术

Application of Machine Learning-Based Models to Understand and Predict Critical Flux of Oil-in-Water Emulsion in Crossflow Microfiltration

Published:2022-02-18 Issue:24 Volume:61 Page:8470-8477
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Tanudjaja Henry J.¹,Chew Jia Wei¹²^ORCID

Affiliation:

1. School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore 637459, Singapore

2. Singapore Membrane Technology Centre, Nanyang Environment and Water Research Institute, Nanyang Technological University, Singapore 637141, Singapore

Funder

Agency for Science, Technology and Research

Ministry of Education - Singapore

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.1c04662

Reference42 articles.

1. Membrane processing of oily streams. Wastewater treatment and waste reduction

2. Recent Developments in Membrane Treatment of Spent Cutting-Oils: A Review

3. Critical flux and fouling mechanism in cross flow microfiltration of oil emulsion: Effect of viscosity and bidispersity

4. Assessment of oil fouling by oil-membrane interaction energy analysis

5. Striping phenomenon during cross-flow microfiltration of oil-in-water emulsions

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