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Understanding Membrane Fouling Mecha...

Xiang, Yuan.

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Understanding Membrane Fouling Mechanisms through Computational Simulations.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Understanding Membrane Fouling Mechanisms through Computational Simulations./
Author:	Xiang, Yuan.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2016,
Description:	151 p.
Notes:	Source: Dissertation Abstracts International, Volume: 78-02(E), Section: B.
Contained By:	Dissertation Abstracts International78-02B(E).
Subject:	Mechanical engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10144832
ISBN:	9781369004120

Understanding Membrane Fouling Mechanisms through Computational Simulations.
Xiang, Yuan.

Understanding Membrane Fouling Mechanisms through Computational Simulations. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 151 p.

Source: Dissertation Abstracts International, Volume: 78-02(E), Section: B.

Thesis (Ph.D.)--The George Washington University, 2016.

This dissertation focuses on a computational simulation study on the organic fouling mechanisms of reverse osmosis and nanofiltration (RO/NF) membranes, which have been widely used in industry for water purification. The research shows that through establishing a realistic computational model based on available experimental data, we are able to develop a deep understanding of membrane fouling mechanism. This knowledge is critical for providing a strategic plan for membrane experimental community and RO/NF industry for further improvements in membrane technology for water treatment.

ISBN: 9781369004120Subjects--Topical Terms:

649730
Mechanical engineering.

Understanding Membrane Fouling Mechanisms through Computational Simulations.
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100 1 $a Xiang, Yuan. $3 3342814
245 1 0 $a Understanding Membrane Fouling Mechanisms through Computational Simulations.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2016
300 $a 151 p.
500 $a Source: Dissertation Abstracts International, Volume: 78-02(E), Section: B.
500 $a Adviser: Yongsheng Leng.
502 $a Thesis (Ph.D.)--The George Washington University, 2016.
520 $a This dissertation focuses on a computational simulation study on the organic fouling mechanisms of reverse osmosis and nanofiltration (RO/NF) membranes, which have been widely used in industry for water purification. The research shows that through establishing a realistic computational model based on available experimental data, we are able to develop a deep understanding of membrane fouling mechanism. This knowledge is critical for providing a strategic plan for membrane experimental community and RO/NF industry for further improvements in membrane technology for water treatment.
520 $a This dissertation focuses on three major research components (1) Development of the realistic molecular models, which could well represent the membrane surface properties; (2) Investigation of the interactions between the membrane surface and foulants by steered molecular dynamics simulations, in order to determine the major factors that contribute to surface fouling; and (3) Studies of the interactions between the surface-modified membranes (polyethylene glycol) to provide strategies for antifouling.
590 $a School code: 0075.
650 4 $a Mechanical engineering. $3 649730
650 4 $a Materials science. $3 543314
650 4 $a Physical chemistry. $3 1981412
690 $a 0548
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710 2 $a The George Washington University. $b Mechanical and Aerospace Engineering. $3 1058366
773 0 $t Dissertation Abstracts International $g 78-02B(E).
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792 $a 2016
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10144832