MARC 主機 00000nam a2200493K  4500 
001    AAI13419727 
005    20200623111651.5 
006    m     o  d         
007    cr mn ---uuuuu 
008    200623s2019    miu     sbm   000 0 eng d 
020    9780438888852 
035    (MiAaPQ)AAI13419727 
035    (MiAaPQ)lehigh:12040 
040    MiAaPQ|beng|cMiAaPQ|dNTU 
100 1  Alshwairekh, Ahmed Mohammed 
245 10 Computational Study of Water Desalination Using forward 
       Osmosis 
264  0 |c2019 
300    1 online resource (104 pages) 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
500    Source: Dissertations Abstracts International, Volume: 80-
       09, Section: B 
500    Publisher info.: Dissertation/Thesis 
500    Advisor: Oztekin, Alparslan 
502    Thesis (Ph.D.)--Lehigh University, 2019 
504    Includes bibliographical references 
520    Forward Osmosis is a natural phenomenon that takes places 
       across a semi-permeable membrane when there is a 
       concentration difference across the membrane. Pure water 
       permeates to the highly concentrated channel until the 
       concentration across the membrane equilibrates. In water 
       desalination applications, the same principle is applied. 
       Spiral-wound membrane, flat sheet, or hollow fiber module 
       are typical configurations in forward osmosis desalination
       modules. The application of water desalination using 
       forward osmosis requires the existence of two channels 
       separated by a suitable forward osmosis membrane. Sea or 
       Brackish water is introduced in one side while the other 
       side has a suitable draw solution. The concentration of 
       the draw solution must possess several properties for 
       optimum performance. The vital property is that the draw 
       solution should have a concentration greater than the sea 
       or the brackish water. The forward osmosis membrane 
       consists of an active dense layer and a porous support 
       layer. The membrane should be designed to have high pure 
       water permeability with a low solute permeation 
       coefficient and a low structural parameter. Low values of 
       the structural parameter ensure that the effect of the 
       internal dilutive concentration polarization is neglected.
       The process of water permeation in a forward osmosis 
       membrane module has been modeled using computational fluid
       dynamic simulations. The local variation of the water flux
       along the membrane surface as a function of the local 
       concentration of both the feed and the draw channels was 
       calculated. The permeation of the water flux causes the 
       concentration in the feed channel to increase as the salt 
       start to accumulate over the membrane surface. While the 
       concentration of the draw solution is diluted as the water
       mixes with the draw solution. In the simulations with a 
       flat membrane and no mixing promoters, a laminar model was
       used. In the model, Navier-Stokes equations along with a 
       mass transport equation were used to model the flow and 
       the variation of the concentration inside the channels. 
       The flow rate was varied to study the effect of the 
       concentration boundary layer growth in forward osmosis 
       membrane systems. Also, the thickness of the porous 
       support layer was varied. The results indicate that 
       increasing the flow rate indeed improved the water flux by
       reducing the growth of the concentration boundary layer. 
       The presence of the porous support layer drastically 
       reduces the performance of the system because of the high 
       level of the internal dilutive concentration polarization 
       (active layer facing feed solution orientation). It is 
       important to reduce the thickness of the porous support 
       layer, increase the porosity or improve the tortuosity of 
       the porous support layer. The optimum solution is to 
       remove the porous support layer completely. Corrugating 
       the membrane should mix the feed and the draw solutions 
       near the membrane surface. The membrane was corrugated in 
       a chevron manner. Four different types of corrugations 
       were considered: (1) a single corrugation where the peak 
       of the corrugation is towards the feed side to avoid 
       fouling; (2). a double membrane corrugation so that both 
       the feed and the draw solutions are mixed; (3) a channel 
       corrugation in which the membrane is left flat: and (4). a
       combined corrugation in which the double and channel 
       corrugations are combined. In each set of simulations, 
       three Reynolds number were considered giving twelve sets 
       of simulations in total. The k - ω SST model is utilized 
       to characterize the steady state turbulent structures 
       inside the modules containing corrugations for Re of 300, 
       800, and 1500. The results indicate that the porous 
       support layer is still reducing the performance of the 
       membrane system even with the introduction of the 
       corrugations. However, there has been improvement in the 
       water flux up to 15% in the combined corrugation case. The
       final part of the dissertation research focused on 
       removing the effect of the porous support layer and 
       introducing embedded spacers within the structure of the 
       membrane. Net-type spacers of 45° and three different 
       spacer strand diameters are used. The diameters of the 
       spacer are chosen as 0.1 h, 0.2h, and 0.3h. The flow rate 
       was changed so that Re is 300, 800, and 1500. The results 
       indicate that the case with D = 0.3h and Re = 300 had the 
       best performance 
533    Electronic reproduction.|bAnn Arbor, Mich. :|cProQuest,
       |d2020 
538    Mode of access: World Wide Web 
650  4 Engineering 
650  4 Mechanical engineering 
653    CFD 
653    Corrugated 
653    Embedded 
653    Forward 
653    Membrane 
653    Osmosis 
655  7 Electronic books.|2local 
690    0537 
690    0548 
710 2  ProQuest Information and Learning Co 
710 2  Lehigh University.|bMechanical Engineering 
773 0  |tDissertations Abstracts International|g80-09B 
856 40 |uhttps://pqdd.sinica.edu.tw/twdaoapp/servlet/
       advanced?query=13419727|zclick for full text (PQDT) 
912    PQDT 
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