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A new approach for optimization of electrospun nanofiber formation process

Ziabari, Mohammad, Mottaghitalab, Vahid and Haghi, Akbar Khodaparast 2010, A new approach for optimization of electrospun nanofiber formation process, Korean journal of chemical engineering, vol. 27, no. 1, pp. 340-354, doi: 10.1007/s11814-009-0309-1.

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Title A new approach for optimization of electrospun nanofiber formation process
Author(s) Ziabari, MohammadORCID iD for Ziabari, Mohammad orcid.org/0000-0001-7322-0387
Mottaghitalab, Vahid
Haghi, Akbar Khodaparast
Journal name Korean journal of chemical engineering
Volume number 27
Issue number 1
Start page 340
End page 354
Total pages 15
Publisher Springer
Place of publication Berlin, Germany
Publication date 2010
ISSN 0256-1115
1975-7220
Keyword(s) electrospinning
nanofibers
fiber diameter
processing variables
response surface methodology
Summary Precise control of fiber diameter during electrospinning is very crucial for many applications. A systematicand quantitative study on the effects of processing variables enables us to control the properties of electrospun nanofibers.In this contribution, response surface methodology (RSM) was employed to quantitatively investigate the simultaneouseffects of four of the most important parameters, namely solution concentration (C), spinning distance (d),applied voltage (V) and volume flow rate (Q), on mean fiber diameter (MFD) as well as standard deviation of fiberdiameter (StdFD) in electrospinning of polyvinyl alcohol (PVA) nanofibers.
Language eng
DOI 10.1007/s11814-009-0309-1
Field of Research 100712 Nanoscale Characterisation
010303 Optimisation
0904 Chemical Engineering
0913 Mechanical Engineering
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©[2010, The Authors]
Persistent URL http://hdl.handle.net/10536/DRO/DU:30087822

Document type: Journal Article
Collection: Institute for Frontier Materials
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