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Application of response surface methodology in optimization of electrospinning process to fabricate (ferrofluid/polyvinyl alcohol) magnetic nanofibers

Ahmadipourroudposht, Mohaddeseh and Fallahiarezoudar, Ehsan and Mohd. Yusof, Noordin and Idris, Ani (2015) Application of response surface methodology in optimization of electrospinning process to fabricate (ferrofluid/polyvinyl alcohol) magnetic nanofibers. Materials Science & Engineering C-Materials For Biological Applications, 50 . pp. 234-241. ISSN 0928-4931

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Official URL: http://dx.doi.org/10.1016/j.msec.2015.02.008

Abstract

Magnetic nanofibers are composed of good dispersion of magnetic nanoparticles along an organic material. Magnetic nanofibers are potentially useful for composite reinforcement, bio-medical and tissue engineering. Nanofibers with the thinner diameter have to result in higher rigidity and tensile strength due to better alignments of lamellae along the fiber axis. In this study, the performance of electrospinning process was explained using response surface methodology (RSM) during fabrication of magnetic nanofibers using polyvinyl alcohol (PVA) as a shelter for (?-Fe2O3) nanoparticles where the parameters investigated were flow rate, applied voltage, distance between needle and collector and collector rotating speed. The response variable was diameter distribution. The two parameters flow rate and applied voltage in primary evaluation were distinguished as significant factors. Central composite design was applied to optimize the variable of diameter distribution. Quadratic estimated model developed for diameter distribution indicated the optimum conditions to be flow rate of 0.25ml/h at voltage of 45kV while the distance and rotating speed are at 8cm and 1500rps respectively. The obtained model was verified successfully by the confirmation experiments.

Item Type:Article
Uncontrolled Keywords:electrospinning, tissue engineering, response surface methodology, magnetic nanofibers, diameter distribution, central composite design
Subjects:T Technology > TJ Mechanical engineering and machinery
Divisions:Mechanical Engineering
ID Code:57873
Deposited By: Haliza Zainal
Deposited On:04 Dec 2016 04:07
Last Modified:22 Aug 2021 06:45

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