Use este identificador para citar o ir al link de este elemento:
http://hdl.handle.net/1843/61218
Tipo: | Artigo de Periódico |
Título: | Modeling CO2 and N2 permeation through mixed matrix membranes containing oxygenated carbon nanotubes dispersed in polysulfone |
Autor(es): | Thales Almeida Barbosa Marcelo Costa Flores Katia Cecília de Souza Figueiredo |
Resumen: | Mixed matrix membranes (MMMs) consist of a polymeric phase and a dispersed solid filler such as zeolites or carbon nanotubes. We prepared symmetric and asymmetric polysulfonebased MMMs containing functionalized multi-walled carbon nanotubes (MWNT-O) for CO2/N2 separation. Maxwell’s model was used to predict the permeabilities of MMMs. The permeability achieved using the model exhibited a good fit of the model in symmetric MMMs, especially for CO2. This can be potentially attributed to the high affinity of the system toward the polymer matrix. The permeability recorded using Maxwell’s model could not reflect the properties of the asymmetric membranes, and this could be attributed to the generation of voids around the fillers or defects present on the surface of the skin. Finally, a mathematical fit was proposed to improve prediction accuracy for both the MMM systems. |
Asunto: | Permeabilidade Compositos polimericos |
Idioma: | por |
País: | Brasil |
Editor: | Universidade Federal de Minas Gerais |
Sigla da Institución: | UFMG |
Departamento: | ENG - DEPARTAMENTO DE ENGENHARIA QUÍMICA |
Tipo de acceso: | Acesso Aberto |
Identificador DOI: | https://doi.org/10.21926/aeer.2203030 |
URI: | http://hdl.handle.net/1843/61218 |
Fecha del documento: | 16-ago-2022 |
metadata.dc.url.externa: | doi:10.21926/aeer.2203030 |
metadata.dc.relation.ispartof: | Advances in Environmental and Engineering Research |
Aparece en las colecciones: | Artigo de Periódico |
archivos asociados a este elemento:
archivo | Descripción | Tamaño | Formato | |
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Modeling co2 and n2 permeation through mixed matrix membranes containing oxygenated carbon nanotubes dispersed in polysulfone.pdf | 334.93 kB | Adobe PDF | Visualizar/Abrir |
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