2019
DOI: 10.1016/j.seppur.2019.03.021
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Ethanol mass transfer during pervaporation with PDMS membrane based on solution-diffusion model considering concentration polarization

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Cited by 40 publications
(16 citation statements)
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“…During the initial onset of flow, absorption of ethanol into PDMS also contributes to total loss. However, the partition coefficient of ethanol in PDMS is on the order of 2.98 ( Qiu et al, 2019 ) which is reasonably low. We expect an effective system equilibrium to be achieved after less than 20h during the 48h study.…”
Section: Methodsmentioning
confidence: 95%
“…During the initial onset of flow, absorption of ethanol into PDMS also contributes to total loss. However, the partition coefficient of ethanol in PDMS is on the order of 2.98 ( Qiu et al, 2019 ) which is reasonably low. We expect an effective system equilibrium to be achieved after less than 20h during the 48h study.…”
Section: Methodsmentioning
confidence: 95%
“…Apart from membrane resistance, boundary layer resistance may also act on the feed section of the membrane 52 . However, boundary layer resistance mainly depends on the feed section flow rate and the geometry of feed channel spacers, 35 which are out of the scope of this study.…”
Section: Theorymentioning
confidence: 99%
“…In addition, the decrease of concentration polarization reduces the transport resistance in the liquid boundary layer, which leads to the increase of water flux [ 39 ]. Qiu et al [ 76 ] developed a mass transfer model based on the solution-diffusion theory with the consideration of concentration polarization to describe ethanol recovery by PV with PDMS membrane, as shown in Figure 11 . Where C b and C bm are ethanol concentration in liquid bulk and the liquid boundary layer at the interface of liquid boundary layer/membrane, respectively.…”
Section: Mechanism Operation Mode and Numerical Simulation Of Thementioning
confidence: 99%
“… Scheme of ethanol mass transfer considering concentration polarization during PV. Reproduced with permission from Reference [ 76 ]. Copyright 2019, Elsevier.…”
Section: Figurementioning
confidence: 99%