Electrochemical Characterization of an Asymmetric Nanofiltration Membrane with NaCl and KCl Solutions: Influence of Membrane Asymmetry on Transport Parameters

Cañas, Alicia; Benavente, J.

doi:10.1006/jcis.2001.8080

Cited by 28 publications

(15 citation statements)

References 23 publications

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“…The new membrane potential model was compared with the experimental data from several commercial membranes reported by Wang et al [15] and Canas and Benaventel [17]. The results show that better agreement can be obtained if a contact factor is introduced in the model and the interfacial concentration obtained approaches reasonably and conforms to the situation of electrolyte transport through an asymmetrical NF membrane.…”

Section: Discussionsupporting

confidence: 53%

“…The contact factor was calculated and analyzed by a computer program. Using this contact factor, an asymmetrical membrane potential for NF was initiated and correlated with experimental results from Wang et al [ 15] and Canas and Benavente 1 [ 17].…”

Section: Introductionmentioning

confidence: 93%

“…To further test the validity of the model, the experimental results reported by Canas and Benevental [17] for the NF PES-10 membrane and solutions of both KC1 and NaC1 were compared with theoretically calculated data. Figs.…”

Section: Correlation Of the Model With The Experimental Data From Canmentioning

confidence: 99%

“…Theoretically speaking, the contact factor affects the ion concentration equilibrium between the bulk solution phase and the membrane phase through its effect on the effective concentration of fixed-charged groups [ 17], QX, especially on the value of Q to become Q~ [Eqs.…”

Section: Effect Of the Contact Factor On The Potential Curves For Nanmentioning

confidence: 99%

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Membrane potential model for an asymmetrical nanofiltration membrane — consideration of noncontinuous concentration at the interface

Wang

2005

Desalination

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Section: Discussionsupporting

confidence: 53%

Section: Introductionmentioning

confidence: 93%

Section: Correlation Of the Model With The Experimental Data From Canmentioning

confidence: 99%

Section: Effect Of the Contact Factor On The Potential Curves For Nanmentioning

confidence: 99%

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Membrane potential model for an asymmetrical nanofiltration membrane — consideration of noncontinuous concentration at the interface

Wang

2005

Desalination

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“…Model parameters.-Most of the parameters used in this model come from literature 51,55,61,62,64 or are measured experimentally. Table II summarizes the parameters used in this model.…”

Section: Model Equations-in This Model Ohmentioning

confidence: 99%

Tortuosity of Composite Porous Electrodes with Various Conductive Additives in an Alkaline System

Forouzan

Wray

Robertson

et al. 2017

J. Electrochem. Soc.

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The role of carbon additives in improving the electronic conductivity of composite porous electrodes is well understood. However, there has been little work studying the effect of various carbon additives on effective ionic transport in porous electrodes. This work determines effective ionic conductivities and associated tortuosities of composite cathodes with various types of carbon additive and porosities in an alkaline system. A two-compartment direct-current method was developed to make these measurements and was validated with multiple electrolyte solutions. This experimental method was modeled using COMSOL Multiphysics in order to understand the effect of design parameters on the polarization curve. Empirical correlations were developed to predict the effect of porosity and various carbon additives on tortuosity. As expected, the results show that tortuosity decreases with porosity and increases with carbon amount. Cathodes containing BNB90 and KS6 carbon additives have the highest and the lowest tortuosity, respectively. Furthermore, for cathodes containing BNB90, tortuosity in the direction orthogonal to the direction of compression (in-plane tortuosity) was found to be less than tortuosity in the direction parallel to compression (out-of-plane tortuosity). The performance of batteries is strongly affected by the composition and microstructure of the electrodes because of these variables' connection to transport and reaction conditions. To identify this connection, several works have focused on predicting and understanding microstructure of porous media.1-11 To understand and optimize microstructure of porous electrodes, effective ionic conductivity is an important factor to accompany electronic conductivity. Although there has been much work regarding transport characteristics in lithium-ion batteries, few attempts have been made to describe transport behavior of primary alkaline batteries. This is despite the fact that alkaline batteries represent about a fourth of the worldwide battery market (namely both primary and secondary cells). It is estimated that approximately 6 × 10 9 alkaline and dry batteries are consumed yearly. 12This work focuses on understanding tortuosity and effective ionic conductivity of alkaline electrolyte in porous electrodes. Alkaline batteries use Zn as the anode, KOH as electrolyte, and a mixture of electrolytic manganese dioxide (EMD) and graphite as the cathode. In the cathode, EMD particles are not sufficiently electrically conductive, so the carbon is needed to improve electronic conductivity. 4,7 The carbon additionally acts as a lubricant and binder during manufacturing. However, this additive reduces the capacity of the battery because it occupies a portion of the volume that would otherwise contain active material. In addition, as is shown in this work, carbon additives reduce the ionic transport in the cathode, because when compressed they form dense regions that tend to plug the ioncontaining pores of the electrode. There is a trade-off between ionic and electronic ...

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Membrane Surface Characterization

Kallioinen

Nyström

2008

Advanced Membrane Technology and Applications

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Electrochemical Characterization of an Asymmetric Nanofiltration Membrane with NaCl and KCl Solutions: Influence of Membrane Asymmetry on Transport Parameters

Cited by 28 publications

References 23 publications

Membrane potential model for an asymmetrical nanofiltration membrane — consideration of noncontinuous concentration at the interface

Membrane potential model for an asymmetrical nanofiltration membrane — consideration of noncontinuous concentration at the interface

Tortuosity of Composite Porous Electrodes with Various Conductive Additives in an Alkaline System

Membrane Surface Characterization

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