Fabrication and machine learning of nanocomposite organic solvent nanofiltration membranes

Wang, Chen

Fabrication and machine learning of nanocomposite organic solvent nanofiltration membranes

Wang, Chen

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Publication Type:: Thesis
Issue Date:: 2023

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Field	Value	Language
dc.contributor.author	Wang, Chen
dc.date.accessioned	2023-09-27T03:08:14Z
dc.date.available	2023-09-27T03:08:14Z
dc.date.issued	2023
dc.identifier.uri	http://hdl.handle.net/10453/172319
dc.description	University of Technology Sydney. Faculty of Engineering and Information Technology.	en_US.UTF-8
dc.description.abstract	Inkjet printing technique has gained increasing interest for various membrane fabrications. The benefits of inkjet printing method include uniform deposition, small amount of materials used, and simple and fast operation steps. This study systematically investigates inkjet printing technique as an alternative layer-by-layer (LBL) assembly method for nanocomposite organic solvent nanofiltration (OSN) membrane fabrication. Solvent resistant polyketone (PK) polymer is introduced for the first for preparing PK membrane used as the support membrane to increase OSN membrane solvent stability. In addition, the emergence of ML has become an important data-driven method in chemical and material engineering field. Considering the advantages of ML, this study utilized ML-based models for OSN membrane performance prediction.	en_US.UTF-8
dc.format	Thesis (PhD)
dc.language.iso	en_US	en_US.UTF-8
dc.relation	https://opus.lib.uts.edu.au/bitstream/10453/172319/1/thesis.pdf
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.
dc.rights	© 2023 Chen Wang
dc.rights	au.edu.uts.lib/cph
dc.title	Fabrication and machine learning of nanocomposite organic solvent nanofiltration membranes	en_US.UTF-8
dc.type	Thesis
utslib.copyright.status	open_access	*

Abstract:

Inkjet printing technique has gained increasing interest for various membrane fabrications. The benefits of inkjet printing method include uniform deposition, small amount of materials used, and simple and fast operation steps. This study systematically investigates inkjet printing technique as an alternative layer-by-layer (LBL) assembly method for nanocomposite organic solvent nanofiltration (OSN) membrane fabrication. Solvent resistant polyketone (PK) polymer is introduced for the first for preparing PK membrane used as the support membrane to increase OSN membrane solvent stability. In addition, the emergence of ML has become an important data-driven method in chemical and material engineering field. Considering the advantages of ML, this study utilized ML-based models for OSN membrane performance prediction.

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http://hdl.handle.net/10453/172319