PhD Defense by Chunyan Xu

Event Details
  • Date/Time:
    • Friday November 20, 2020 - Saturday November 21, 2020
      9:00 am - 10:59 am
  • Location: Remote: Blue Jeans
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  • URL: Bluejeans
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Summaries

Summary Sentence: Development and Mechanism Investigation of Novel Thin Film Nanocomposite Nanofiltration Membranes

Full Summary: No summary paragraph submitted.

Ph.D. Thesis Defense Announcement

Development and Mechanism Investigation of Novel Thin Film Nanocomposite Nanofiltration Membranes

 

by

Chunyan Xu

 

Advisor(s):

Dr. Yongsheng Chen

 

Committee Members:

Dr. John Crittenden (CEE), Dr. Sotira Yiacoumi (CEE), Dr. Xing Xie (CEE), Dr. Shuman Xia (ME)

 

Date & Time: Friday, Nov. 20th, 9:00-11:00 am

Location: https://bluejeans.com/429539129

 

Thin film composite (TFC) membrane based nanofiltration (NF) is an emerging technology that has shown great potential in water purification, waste treatment, and organic solvent separations. Great performance has already been achieved through a variety of modifications for different applications; however, a lack of understanding of the underlying water transport mechanism and multifunctional potential of TFC membranes present significant challenges. One clear example are thin film nanocomposite (TFN) membranes, which have shown enhanced water flux as well as other capabilities, such as antifouling, antibacterial, and anti-compaction properties. However, the underlying mechanism for these excellent properties exhibited by the TFN membranes remains largely unknown. In addition, these properties are mainly improved individually in previous studies, but in practical application, optimal multi-functional TFN membranes that exhibit all these great properties simultaneously are preferred.
Motivated by the abovementioned questions and the need for real applications, the overall objective of this thesis is to use both experimental phenomenal observations and mechanistic modeling investigations to understand the mass transport mechanism and enhance the overall performance of TFN membranes. Firstly, I developed a novel multifunctional NF membrane by incorporating cellulose nanocrystal/ silver (CNC/Ag) nanocomposites into the active layer of the thin film composite NF membrane. The CNC/Ag NF membrane exhibited excellent anti-fouling and antibacterial properties, in addition to an enhancement in water permeability without sacrificing salt rejection. Secondly, based upon the results observed from our TFN membranes experiments and other works done in recent years, I developed a novel water and solute transport model to explain the widely observed flux enhancement and solute rejection changes of TFN membranes using resistance-in-series theory and Monte Carlo simulation. The simulation results explain why a minimal NPs addition (typically less than 0.1 wt% in the monomer solution for interfacial polymerization) would result in a significant flux increase without sacrificing rejection. Also, the range of the flux enhancement (1.1 to 2.5 times) and minor rejection change simulated by our model agree very well with the existing experimental data from a variety of previous publications. Finally, the TFC membrane real-time compaction model was developed based on scaling-law calculations combined with the viscoelastic behavior of the polymer. The effect of different morphological and mechanical properties, as well as the transmembrane pressure are thoroughly discussed, which will not only give insight on the anti-compaction behavior of TFC membranes, but also contribute to future study of the TFN membrane compaction mechanism. 
In summary, this thesis has successfully demonstrated the preparation of a multifunctional TFN membrane with high performance under different assessment criteria, and the development of two mathematical models: a model that captures and explains the mass transport of TFN membranes, and a model that can be used to explain and predict TFN membrane compaction using viscoelastic theory. These works paved the way to future studies of novel TFN membranes, as well as developed a novel set of math modeling techniques that can explain and predict the performance of TFN membranes.
 

Additional Information

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Graduate Studies

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Public, Graduate students, Undergraduate students
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Phd Defense
Status
  • Created By: Tatianna Richardson
  • Workflow Status: Published
  • Created On: Nov 6, 2020 - 3:52pm
  • Last Updated: Nov 6, 2020 - 3:52pm