A method for quantitative characterization of agglomeration degree in nanocomposites

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

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

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.

LanguageEnglish
Pages181-186
Number of pages6
JournalComposites Science and Technology
Volume145
DOIs
Publication statusPublished - 16 Jun 2017

Fingerprint

Nanocomposites
Agglomeration
Particle interactions
Permittivity
Microstructure
Composite materials
Image analysis
Fillers

Keywords

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

Cite this

Golbang, A. ; Famili, M. H.N. ; Shirvan, M. Mokhtari Motameni. / A method for quantitative characterization of agglomeration degree in nanocomposites. In: Composites Science and Technology. 2017 ; Vol. 145. pp. 181-186.
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A method for quantitative characterization of agglomeration degree in nanocomposites. / Golbang, A.; Famili, M. H.N.; Shirvan, M. Mokhtari Motameni.

In: Composites Science and Technology, Vol. 145, 16.06.2017, p. 181-186.

Research output: Contribution to journalArticle

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AU - Golbang, A.

AU - Famili, M. H.N.

AU - Shirvan, M. Mokhtari Motameni

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AB - 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.

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