A method for quantitative characterization of agglomeration degree in nanocomposites

A. Golbang, M. H.N. Famili, M. Mokhtari Motameni Shirvan

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17 Citations (Scopus)
158 Downloads (Pure)


Dispersion and agglomeration control the macroscopic properties of nanocomposites; thus, quantitative characterization of particle dispersion and agglomeration is crucial. So far, methods such as image analysis or measurement of macroscopic properties have been insufficient. So, a novel methodology is introduced to predict particle dispersion and agglomeration degree quantitatively through the measurement of effective dielectric constant. This is done by taking into account the impact of inter-particle interactions in respect to microstructure for the calculation of effective dielectric constant. Inter-particle interaction is calculated as a function of inter-particle distance for random dispersion of particles in composites and as a function of agglomerate size and packing density for nanocomposites with agglomerated microstructure. The inter-particle interactions increase with increase in filler content and agglomeration. This increment is abrupt at percolation where inter-particle distance is significantly reduced. Experimental data from ZnO/PS composites with controlled inter-particle distance and agglomeration confirm the theoretical results.

Original languageEnglish
Pages (from-to)181-186
Number of pages6
JournalComposites Science and Technology
Publication statusPublished (in print/issue) - 16 Jun 2017


  • Electrical properties
  • Modelling
  • Nanocomposite
  • Non-destructive testing


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