Electrospinning of non-woven poly(styrene-co-acrylonitrile) nanofibrous webs for corrosive chemical filtration: Process evaluation and optimization by Taguchi and multiple regression analyses

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dc.contributor.authorSenthil, T.
dc.contributor.authorAnandhan, S.
dc.date.accessioned2026-02-05T09:33:52Z
dc.date.issued2015
dc.description.abstractNano-fibrous ultra-filtration membranes of poly(styrene- co-acrylonitrile) were produced from n-butanone solution by electrospinning. Effects of governing parameters on morphology and variation in diameter of the electrospun fibers were experimentally investigated by orthogonal experimental design. The process parameters were selected by Taguchi's method. Multiple regression analysis was used to obtain a quantitative relationship between selected electrospinning parameters and average fiber diameter and ANOVA was used to identify the statistically significant parameters and set the optimal level for each parameter. Confirmation experiment revealed a good agreement between the predicted values of the response obtained from optimum level parameters and the observed experimental values. © 2014 Elsevier B.V.
dc.identifier.citationJournal of Electrostatics, 2015, 73, , pp. 43-55
dc.identifier.issn3043886
dc.identifier.urihttps://doi.org/10.1016/j.elstat.2014.10.002
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/26340
dc.publisherElsevier
dc.subjectChemical analysis
dc.subjectChemical industry
dc.subjectElectrospinning
dc.subjectFibrous membranes
dc.subjectKetones
dc.subjectMicrofiltration
dc.subjectNanofibers
dc.subjectOptimization
dc.subjectStyrene
dc.subjectTaguchi methods
dc.subjectAverage fiber diameters
dc.subjectCorrosive chemicals
dc.subjectElectrospinning parameters
dc.subjectGoverning parameters
dc.subjectMultiple regression analysis
dc.subjectOrthogonal experimental design
dc.subjectPoly(styrene-co-acrylonitrile)
dc.subjectUltra-filtration membranes
dc.subjectRegression analysis
dc.titleElectrospinning of non-woven poly(styrene-co-acrylonitrile) nanofibrous webs for corrosive chemical filtration: Process evaluation and optimization by Taguchi and multiple regression analyses

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