Quantitative assessment of dispersion stability and processing parameters in graphene‐enhanced unsaturated polyester resins: Effect of mixing techniques

Abstract Recent advances in cost‐effective graphene mass production highlight its potential for industrial applications, along with the challenges of achieving and controlling uniform dispersion at a large scale. State‐of‐the‐art approaches such as functionalization, solvent mixing, and sonication are costly for large‐scale use. As for dispersion analysis, microscopy techniques such as scanning electron microscopy and transmission electrical microscopy are still commonly employed, while emerging quantitative methods, including electrical conductivity measurements, micro‐CT, and machine learning, remain time‐intensive and are limited to fully‐cured nanocomposites. This study aims to evaluate three mixing techniques—mechanical mixing, high shear mixing, and probe sonication—for dispersing an industrial mass‐produced graphene powder in an unsaturated polyester resin. Their impact on processing parameters is examined using thermal and rheology analysis. Furthermore, dispersion states throughout the processing window are quantified for the first time. Results indicate that graphene addition inhibits resin curing, delaying gelation and increasing peak temperatures. Mechanical mixing exhibited the lowest dispersion efficiency with dispersion indices of 62.87%, 65.15%, and 66.37% at 0.25, 0.5, and 0.75 Wt.% graphene, respectively. Probe sonication was most effective at lower concentrations (66.65% and 68.20% at 0.25 and 0.5 Wt.%), while high shear mixer excelled at 0.75 Wt.% graphene (69.11%) due to increased viscosity. The dispersion states remained stable during curing, as the resin's higher viscosity restricted nanofiller mobility. Highlights Graphene delays resin curing (5.8%–40%) by radical scavenging and hindrance. Objective method for quantitative graphene dispersion across processing window. Better dispersion obtained using high shear mixer at higher graphene content. High resin viscosity stabilizes graphene dispersion, limits mobility in curing.

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Publication Details

Journal
Polymer Engineering and Science
Published
2025-02-19
DOI
https://doi.org/10.1002/pen.27145
Citations
3
Primary Topic
Graphene research and applications
Type
article
Field-Weighted Citation Impact
1.55

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article

Quantitative assessment of dispersion stability and processing parameters in graphene‐enhanced unsaturated polyester resins: Effect of mixing techniques

Farnaz Mazaheri Karvandian, Pascal Hubert
3 citations
Polymer Engineering and Science
Graphene research and applications
1.55
article

Quantitative assessment of dispersion stability and processing parameters in graphene‐enhanced unsaturated polyester resins: Effect of mixing techniques

Farnaz Mazaheri Karvandian, Pascal Hubert
article en
3 citations

Abstract

Abstract Recent advances in cost‐effective graphene mass production highlight its potential for industrial applications, along with the challenges of achieving and controlling uniform dispersion at a large scale. State‐of‐the‐art approaches such as functionalization, solvent mixing, and sonication are costly for large‐scale use. As for dispersion analysis, microscopy techniques such as scanning electron microscopy and transmission electrical microscopy are still commonly employed, while emerging quantitative methods, including electrical conductivity measurements, micro‐CT, and machine learning, remain time‐intensive and are limited to fully‐cured nanocomposites. This study aims to evaluate three mixing techniques—mechanical mixing, high shear mixing, and probe sonication—for dispersing an industrial mass‐produced graphene powder in an unsaturated polyester resin. Their impact on processing parameters is examined using thermal and rheology analysis. Furthermore, dispersion states throughout the processing window are quantified for the first time. Results indicate that graphene addition inhibits resin curing, delaying gelation and increasing peak temperatures. Mechanical mixing exhibited the lowest dispersion efficiency with dispersion indices of 62.87%, 65.15%, and 66.37% at 0.25, 0.5, and 0.75 Wt.% graphene, respectively. Probe sonication was most effective at lower concentrations (66.65% and 68.20% at 0.25 and 0.5 Wt.%), while high shear mixer excelled at 0.75 Wt.% graphene (69.11%) due to increased viscosity. The dispersion states remained stable during curing, as the resin's higher viscosity restricted nanofiller mobility. Highlights Graphene delays resin curing (5.8%–40%) by radical scavenging and hindrance. Objective method for quantitative graphene dispersion across processing window. Better dispersion obtained using high shear mixer at higher graphene content. High resin viscosity stabilizes graphene dispersion, limits mobility in curing.

Polymer Engineering and ScienceVol. 65(4)
AS Composite (Canada) (CA), McGill University (CA)
Polytechnique Montréal, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 20%
Graphene research and applications
1.55
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