Graphene-reinforced novel poly(acetoxystyrene-co-glycidylmethacrylate) composites: Synthesis and optimization of dielectric behaviors using response surface methodology

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Özet

In this work, a new copolymer synthesis of Poly(acetoxystyrene-co-glycidylmethacrylate) (P[AOS-co-GMA]) by free radical polymerization (FRP) method is reported. The polymer composites (P[AOS-co-GMA]/graphene), containing different amounts of graphene, were prepared by the solution casting technique. Composites of Poly(acetoxystyrene-co-glycidylmethacrylate) loaded with 2.03 mass%, 5.00 mass%, 7.97 mass%, and 10 mass% graphene. The structure of AOS-GMA systems was characterized by fourier transform infrared, 1H-NMR and scanning electron microscopy. Thermal features were evaluated by the thermogravimetric analysis and differential scanning calorimetry. The aim of this study is to optimize the ε′ (dielectric constant) and ε′′ (dielectric loss factor) of pure polymer and graphene-doped (2.03-5-7.97-10 mass%) P(AOS-co-GMA) composite using response surface methodology. For optimization of the process and creation of the mathematical model, the central composite design package was used. The significance of the process parameters in the model was evaluated by analysis of variance (ANOVA) research. The effects of process parameters, frequency (Hz), voltage (V), and graphene ratio (mass%) on ε′ and ε′′ were examined at ambient temperature. The maximum ε″ value (8.01) was reached at around the 699 Hz frequency and at 11.43 V voltage at the graphene content of 9.82 mass%. The model estimated the maximum value of the ε′′ (0.08) when the frequency was set at 51.20, the voltage was fixed at 1.16 and the graphene content was fixed at 9.97 wt%. The ANOVA results showed that frequency and graphene content were the main model parameters and had a remarkable effect on the dielectric properties. This article presents the development of a new polymeric composite and optimize effect of process parameters, such as frequency (A), voltage (B) and amount of graphene (C).

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https://rdlopen.rawdatalibrary.net/r/munzur/2374Resmi atıflarda kullanılan kalıcı adres
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dc.contributor.authorPihtili, Güzin
dc.date.accessioned2026-10-28T14:55:17.524547107Z
dc.date.available2026-10-28T14:55:17.524547107Z
dc.date.issued2022
dc.description.abstractIn this work, a new copolymer synthesis of Poly(acetoxystyrene-co-glycidylmethacrylate) (P[AOS-co-GMA]) by free radical polymerization (FRP) method is reported. The polymer composites (P[AOS-co-GMA]/graphene), containing different amounts of graphene, were prepared by the solution casting technique. Composites of Poly(acetoxystyrene-co-glycidylmethacrylate) loaded with 2.03 mass%, 5.00 mass%, 7.97 mass%, and 10 mass% graphene. The structure of AOS-GMA systems was characterized by fourier transform infrared, 1H-NMR and scanning electron microscopy. Thermal features were evaluated by the thermogravimetric analysis and differential scanning calorimetry. The aim of this study is to optimize the ε′ (dielectric constant) and ε′′ (dielectric loss factor) of pure polymer and graphene-doped (2.03-5-7.97-10 mass%) P(AOS-co-GMA) composite using response surface methodology. For optimization of the process and creation of the mathematical model, the central composite design package was used. The significance of the process parameters in the model was evaluated by analysis of variance (ANOVA) research. The effects of process parameters, frequency (Hz), voltage (V), and graphene ratio (mass%) on ε′ and ε′′ were examined at ambient temperature. The maximum ε″ value (8.01) was reached at around the 699 Hz frequency and at 11.43 V voltage at the graphene content of 9.82 mass%. The model estimated the maximum value of the ε′′ (0.08) when the frequency was set at 51.20, the voltage was fixed at 1.16 and the graphene content was fixed at 9.97 wt%. The ANOVA results showed that frequency and graphene content were the main model parameters and had a remarkable effect on the dielectric properties. This article presents the development of a new polymeric composite and optimize effect of process parameters, such as frequency (A), voltage (B) and amount of graphene (C).
dc.description.sponsorshipMinistry of Science and Technology, Taiwan, MOST, (109-2511-H-008-013-)
dc.description.sponsorshipMinistry of Science and Technology, Taiwan, MOST
dc.description.sponsorshipMilli Eğitim Bakanliği, MEB, (HESP-2020)
dc.description.sponsorshipMilli Eğitim Bakanliği, MEB
dc.identifier.doi10.1002/pc.26954
dc.identifier.eissn1548-0569
dc.identifier.endpage6441
dc.identifier.issn0272-8397
dc.identifier.issue9
dc.identifier.scopus2-s2.0-85135514085
dc.identifier.startpage6426
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/munzur/2374
dc.identifier.volume43
dc.identifier.wosWOS:000853268400054
dc.language.isoen
dc.publisherJohn Wiley and Sons Inc
dc.relation.ispartofPolymer Composites
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectanalysis of variance
dc.subjectdielectric properties
dc.subjectgraphene
dc.subjectpolymer composite
dc.subjectresponse surface method
dc.subject.classificationMaterials Science, Composites
dc.subject.classificationPolymer Science
dc.subject.classificationMaterials Science
dc.subject.otherAnalysis of variance (ANOVA)
dc.subject.otherComposite materials
dc.subject.otherDielectric losses
dc.subject.otherDielectric properties of solids
dc.subject.otherDifferential scanning calorimetry
dc.subject.otherFree radical polymerization
dc.subject.otherFree radicals
dc.subject.otherScanning electron microscopy
dc.subject.otherSurface properties
dc.subject.otherThermogravimetric analysis
dc.subject.otherAnalyse of variance
dc.subject.otherCopolymer synthesis
dc.subject.otherDielectric behavior
dc.subject.otherDielectrics property
dc.subject.otherGlycidyl methacrylate
dc.subject.otherOptimisations
dc.subject.otherPolymer composite
dc.subject.otherProcess parameters
dc.subject.otherResponse surfaces methods
dc.subject.otherResponse-surface methodology
dc.subject.otherGraphene
dc.titleGraphene-reinforced novel poly(acetoxystyrene-co-glycidylmethacrylate) composites: Synthesis and optimization of dielectric behaviors using response surface methodology
dc.typeArticle
rdl.citation.openalex4
rdl.citation.scopus4
rdl.citation.wos4
rdl.oa.statusclosed
rdl.publication.statusinPress
rdl.scopus.quartileQ1
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)