Understanding the behaviour of fouling in hollow fiber membranes using low field Nuclear Magnetic Resonance apparatus

Bin Yan

doi:10.26182/81xx-cs37

Understanding the behaviour of fouling in hollow fiber membranes using low field Nuclear Magnetic Resonance apparatus

Bin Yan

Chemical Engineering

Research output: Thesis › Doctoral Thesis

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Abstract

Fouling and cleaning strategies on a commercialised polysulfone ultrafiltration hollow fiber (UFHF) module containing 400 fibers were studied utilizing Low-field Magnetic Resonance Imaging (MRI) system performing non-invasive structural MRI, Magnetic Resonance Velocity Mapping and Nuclear Magnetic Resonance (NMR) Patterson function technologies. The technologies enable tracking of the volumetric flow rate of individual fibers within UFHF, and warning of sensitive early stage fouling. This study demonstrates the enormous potential of low-field MRI system to quantitatively monitor the operating condition of the UFHF filtration system non-invasively in real-time, thus improving the efficiency and operating experience of the desalination plant.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	The University of Western Australia
Supervisors/Advisors	Fridjonsson, Einar, Supervisor Johns, Michael, Supervisor
Thesis sponsors	Australian Government Research Training Program
Award date	18 Oct 2022
DOIs	https://doi.org/10.26182/81xx-cs37
Publication status	Unpublished - 2022

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10.26182/81xx-cs37

THESIS - DOCTOR OF PHILOSOPHY - YAN Bin - 2022
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Cite this

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title = "Understanding the behaviour of fouling in hollow fiber membranes using low field Nuclear Magnetic Resonance apparatus",

abstract = "Fouling and cleaning strategies on a commercialised polysulfone ultrafiltration hollow fiber (UFHF) module containing 400 fibers were studied utilizing Low-field Magnetic Resonance Imaging (MRI) system performing non-invasive structural MRI, Magnetic Resonance Velocity Mapping and Nuclear Magnetic Resonance (NMR) Patterson function technologies. The technologies enable tracking of the volumetric flow rate of individual fibers within UFHF, and warning of sensitive early stage fouling. This study demonstrates the enormous potential of low-field MRI system to quantitatively monitor the operating condition of the UFHF filtration system non-invasively in real-time, thus improving the efficiency and operating experience of the desalination plant.",

keywords = "Ultrafiltration, Membrane fouling, Early stage fouling monitor, Magnetic Resonance Imaging (MRI), MRI velocity imaging, Cleaning strategies, NMR Patterson functions",

author = "Bin Yan",

year = "2022",

doi = "10.26182/81xx-cs37",

language = "English",

school = "The University of Western Australia",

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AU - Yan, Bin

PY - 2022

Y1 - 2022

N2 - Fouling and cleaning strategies on a commercialised polysulfone ultrafiltration hollow fiber (UFHF) module containing 400 fibers were studied utilizing Low-field Magnetic Resonance Imaging (MRI) system performing non-invasive structural MRI, Magnetic Resonance Velocity Mapping and Nuclear Magnetic Resonance (NMR) Patterson function technologies. The technologies enable tracking of the volumetric flow rate of individual fibers within UFHF, and warning of sensitive early stage fouling. This study demonstrates the enormous potential of low-field MRI system to quantitatively monitor the operating condition of the UFHF filtration system non-invasively in real-time, thus improving the efficiency and operating experience of the desalination plant.

AB - Fouling and cleaning strategies on a commercialised polysulfone ultrafiltration hollow fiber (UFHF) module containing 400 fibers were studied utilizing Low-field Magnetic Resonance Imaging (MRI) system performing non-invasive structural MRI, Magnetic Resonance Velocity Mapping and Nuclear Magnetic Resonance (NMR) Patterson function technologies. The technologies enable tracking of the volumetric flow rate of individual fibers within UFHF, and warning of sensitive early stage fouling. This study demonstrates the enormous potential of low-field MRI system to quantitatively monitor the operating condition of the UFHF filtration system non-invasively in real-time, thus improving the efficiency and operating experience of the desalination plant.

KW - Ultrafiltration

KW - Membrane fouling

KW - Early stage fouling monitor

KW - Magnetic Resonance Imaging (MRI)

KW - MRI velocity imaging

KW - Cleaning strategies

KW - NMR Patterson functions

U2 - 10.26182/81xx-cs37

DO - 10.26182/81xx-cs37

M3 - Doctoral Thesis

ER -

Understanding the behaviour of fouling in hollow fiber membranes using low field Nuclear Magnetic Resonance apparatus

Abstract

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