Application of the Maxwell–Stefan approach to ion exchange in microporous materials. Batch process modelling

2007 ◽  
Vol 62 (23) ◽  
pp. 6939-6946 ◽  
Author(s):  
Carlos M. Silva ◽  
Patrícia F. Lito
Keyword(s):  
Ion Exchange ◽  
Batch Process ◽  
Microporous Materials ◽  
Process Modelling

Ion Exchange Properties of Günterblassite and Gmelinite, Prototypes of Microporous Materials for Water Purification

2020 ◽  
Vol 93 (4) ◽  
pp. 595-602
Author(s):  
N. V. Chukanov ◽  
N. A. Chervonnaya ◽  
O. N. Kazheva ◽  
V. N. Ermolaeva ◽  
D. A. Varlamov ◽  
...  
Keyword(s):  
Ion Exchange ◽  
Water Purification ◽  
Microporous Materials ◽  
Exchange Properties

Comparison between Maxwell-Stefan and Nernst-Planck Equations to Describe Ion Exchange in Microporous Materials

2008 ◽  
Vol 273-276 ◽  
pp. 776-781 ◽  
Author(s):  
Patricia F. Lito ◽  
Carlos Manuel Silva
Keyword(s):  
Aqueous Solution ◽  
Mass Transfer ◽  
Ion Exchange ◽  
Electric Potential ◽  
Ionic Transport ◽  
Microporous Materials ◽  
Batch Experiments ◽  
Predictive Capability ◽  
Potential Gradients ◽  
Intraparticle Mass Transfer

Two models comprising external and intraparticle mass transfer resistances developed to describe ion exchange in microporous materials are compared. Maxwell-Stefan and Nernst-Planck equations account for both concentration and electric potential gradients. However, under certain conditions, Maxwell-Stefan approach can be more advantageous particularly due to taking into account ion-ion and ion-solid interactions separately. The models were tested and compared with data available in the literature, namely batch experiments on cadmium (II) removal from aqueous solution using ETS-4 microporous titanosilicate. Calculated results reveal both models provide good and similar representations as well as fine predictive capability. Therefore, under the conditions investigated, both models can be successfully applied to describe intraparticle ionic transport.

Batch process modelling with mixtures of Gaussian processes

2007 ◽  
Vol 17 (5-6) ◽  
pp. 471-479 ◽  
Author(s):  
Xiaoling Ou ◽  
Elaine Martin
Keyword(s):  
Gaussian Processes ◽  
Batch Process ◽  
Process Modelling

scholarly journals Gaussian Process Regression for Batch Process Modelling

2004 ◽  
Vol 37 (9) ◽  
pp. 817-822
Author(s):  
Xiaoling Ou ◽  
Julian Morris ◽  
Elaine Martin
Keyword(s):  
Gaussian Process ◽  
Gaussian Process Regression ◽  
Batch Process ◽  
Process Modelling

scholarly journals New avenues for mechanochemistry in zeolite science

2021 ◽  
Author(s):  
Daniel N. Rainer ◽  
Russell Morris
Keyword(s):  
Ion Exchange ◽  
Gas Separation ◽  
Large Scale ◽  
Industrial Applications ◽  
Microporous Materials

Zeolites are a class of microporous materials with tremendous value for large scale industrial applications such as catalysis, ion exchange, or gas separation. In addition to naturally ocurring variants, zeolites...

Electrodialysis of oxalic acid: batch process modeling

2012 ◽  
Vol 66 (12) ◽  
Author(s):  
Jiří Kaláb ◽  
Zdeněk Palatý
Keyword(s):  
Mathematical Model ◽  
Czech Republic ◽  
Ion Exchange ◽  
Oxalic Acid ◽  
Aqueous Solutions ◽  
Process Modeling ◽  
Batch Process ◽  
Experimental Results ◽  
Current Densities ◽  
Good Agreement

AbstractBatch electrodialysis of aqueous solutions of oxalic acid was investigated using a laboratory electrodialyzer ED-Z mini equipped with ion-exchange membranes Ralex-AMH-PES and Ralex-CMHPES (Mega, Stráž pod Ralskem, Czech Republic). The paper presents a mathematical model which enables to predict changes in the oxalic acid concentrations in the diluate and concentrate compartments during the electrodialysis process under various conditions specified by combinations of the initial acid concentrations with current densities. The calculation proved a good agreement between the developed model and the experimental results.

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