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Improving Filtration Performance of Electrospun Nanofiber Mats by a Bimodal Method

Author
YAN MEI1 ; ZHIMING WANG2 ; XINSONG LI1
[1] Polymer Division, School of Chemistry and Chemical Engineering, Southeast University, Nanjing 210018, China
[2] Sinoma Science and Technology Co. Ltd., Nanjing 211106, China
Source

Journal of applied polymer science. 2013, Vol 128, Num 2, pp 1089-1094, 6 p ; ref : 21 ref

CODEN
JAPNAB
ISSN
0021-8995
Scientific domain
Polymers, paint and wood industries
Publisher
Wiley, Hoboken, NJ
Publication country
United States
Document type
Article
Language
English
Author keyword
bimodal filtration nanofiber mats quality factor
Keyword (fr)
Acrylonitrile polymère Diamètre Electrofilage Etude expérimentale Fibre synthétique Filtration Morphologie Nanofibre Non tissé Oléfine polymère Propène polymère Relation structure propriété Mat nanofibres
Keyword (en)
Acrylonitrile polymer Diameter Electrospinning Experimental study Synthetic fiber Filtration Morphology Nanofiber Non woven material Olefin polymer Propylene polymer Property structure relationship
Keyword (es)
Acrilonitrilo polímero Diámetro Electrohilado Estudio experimental Fibra sintética Filtración Morfología Nanofibra Material non tejido Olefina polímero Propeno polímero Relación estructura propiedad
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D10 Polymer industry, paints, wood / 001D10A Technology of polymers / 001D10A06 Forms of application and semi-finished materials / 001D10A06F Fibers and threads

Discipline
Polymer industry, paints, wood
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
26907156

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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