What does this research mean for the field?

Image processing techniques applied to SEM images of polymer nanocomposites can accurately quantify nanofiller dispersion, continuity, and interfacial coverage, which strongly correlate with the experimental physicochemical and mechanical properties of the composites. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To establish and validate quantitative image analysis indices using scanning electron microscopy for evaluating nanofiller dispersion, continuity, and interfacial coverage in rubber nanocomposites.

September 14, 2026Proceedings of the Institution of Mechanical Engineers Part L Journal of Materials Design and Applications

Quantitative characterization of silica dispersion and rubber-filler interactions in in-situ sol-gel derived rubber nanocomposites by advanced SEM image analysis

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Authors

AMAmitabha Mandal SDSupriyo Das SGSoumyajit GhoraiLimkokwing University of Creative Technology

Discussion

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Implication

Experimental study demonstrates quantitative image-based characterization of silica dispersion in rubber nanocomposites, highlighting its direct link to mechanical and physical properties.

Key Points

To establish and validate quantitative image analysis indices using scanning electron microscopy for evaluating nanofiller dispersion, continuity, and interfacial coverage in rubber nanocomposites.
Applied image smoothing and thresholding algorithms to scanning electron microscopy (SEM) images of in-situ sol-gel derived rubber nanocomposites to generate binary representations.
Derived quantitative geometric indices for filler dispersion, continuity, and interfacial coverage from binary images separating silica nanofillers (white pixels) from the polymer matrix (black pixels).
Image processing indices showed strong agreement with physicochemical metrics, including silica volume fraction within the rubber network and crosslinking values (Qf / Qg).
Calculated dispersion parameters correlated directly with macroscopic mechanical performance, specifically tensile strength and elastic modulus.

Cite This Study

Mandal et al. (2026) studied this question.

synapsesocial.com/papers/6aa7b32d0926e14a848b1fc2 https://doi.org/10.1177/14644207261481019

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Implication

Experimental study demonstrates quantitative image-based characterization of silica dispersion in rubber nanocomposites, highlighting its direct link to mechanical and physical properties.

Quantitative characterization of silica dispersion and rubber-filler interactions in in-situ sol-gel derived rubber nanocomposites by advanced SEM image analysis

Discussion

Member takes

Implication

Key Points

Cite This Study

Quantitative characterization of silica dispersion and rubber-filler interactions in in-situ sol-gel derived rubber nanocomposites by advanced SEM image analysis

Discussion

Member takes

Implication

Key Points

Cite This Study

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