Oil–water separation on hydrophobic and superhydrophobic membranes made of stainless steel meshes with fluoropolymer coatings
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Author(s)
Melnik, Alexandra
Bogoslovtseva, Alena
Petrova, Anna
Safonov, Alexey
Markides, Christos N
Type
Journal Article
Abstract
In this work, membranes were synthesized by depositing fluoropolymer coatings onto metal meshes using the hot wire chemical vapor deposition (HW CVD) method. By changing the deposition parameters, membranes with different wetting angles were obtained, with water contact angles for different membranes over a range from 130° ± 5° to 170° ± 2° and a constant oil contact angle of about 80° ± 2°. These membranes were used for the separation of an oil–water emulsion in a simple filtration test. The main parameters affecting the separation efficiency and the optimal separation mode were determined. The results reveal the effectiveness of the use of the membranes for the separation of emulsions of water and commercial crude oil, with separation efficiency values that can reach over 99%. The membranes are most efficient when separating emulsions with a water concentration of less than 5%. The pore size of the membrane significantly affects the rate and efficiency of separation. Pore sizes in the range from 40 to 200 µm are investigated. The smaller the pore size of the membranes, the higher the separation efficiency. The work is of great economic and practical importance for improving the efficiency of the membrane separation of oil–water emulsions. It lays the foundation for future research on the use of hydrophobic membranes for the separation of various emulsions of water and oil products (diesel fuel, gasoline, kerosene, etc.).
Date Issued
2023-03-30
Date Acceptance
2023-03-24
Citation
Water, 2023, 15 (7), pp.1-13
ISSN
2073-4441
Publisher
MDPI AG
Start Page
1
End Page
13
Journal / Book Title
Water
Volume
15
Issue
7
Copyright Statement
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
License URL
Identifier
https://www.mdpi.com/2073-4441/15/7/1346
Publication Status
Published
Article Number
1346
Date Publish Online
2023-03-30