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Crossed mixture process design approach to model nanofiltration rejection for non-dilute multi-ionic solutions in a given range of solution compositions

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Crossed mixture process design approach to model nanofiltration rejection for non-dilute multi-ionic solutions in a given range of solution compositions

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Gozálvez Zafrilla, JM.; Santafé Moros, MA.; García Díaz, JC. (2013). Crossed mixture process design approach to model nanofiltration rejection for non-dilute multi-ionic solutions in a given range of solution compositions. Desalination. 315:61-69. doi:10.1016/j.desal.2012.08.009

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/52715

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Title: Crossed mixture process design approach to model nanofiltration rejection for non-dilute multi-ionic solutions in a given range of solution compositions
Author:
UPV Unit: Universitat Politècnica de València. Instituto de Seguridad Industrial, Radiofísica y Medioambiental - Institut de Seguretat Industrial, Radiofísica i Mediambiental
Universitat Politècnica de València. Centro de Gestión de la Calidad y del Cambio - Centre de Gestió de la Qualitat i del Canvi
Universitat Politècnica de València. Departamento de Ingeniería Química y Nuclear - Departament d'Enginyeria Química i Nuclear
Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Issued date:
Abstract:
The goal of the present work is to illustrate the applicability of crossed mixture-process design to predict the rejection of the nanofiltration membranes when treating non-dilute solutions. The method used in this work ...[+]
Subjects: Experimental design , Crossed mixture design , Nanofiltration , Modeling , Ionic solution
Copyrigths: Cerrado
Source:
Desalination. (issn: 0011-9164 )
DOI: 10.1016/j.desal.2012.08.009
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.desal.2012.08.009
Thanks:
The Spanish Ministry for Science and Innovation (Project OPTIMEM CTM2010-20248) and the Universitat Politecnica de Valencia (PAID-06-08-3287) are kindly acknowledged.
Type: Artículo

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