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.
| Original language | English |
|---|---|
| Pages (from-to) | 181-186 |
| Number of pages | 6 |
| Journal | Composites Science and Technology |
| Volume | 145 |
| DOIs | |
| Publication status | Published (in print/issue) - 16 Jun 2017 |
Keywords
- Electrical properties
- Modelling
- Nanocomposite
- Non-destructive testing
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Atefeh Golbang
- School of Engineering - Senior Lecturer in Mechanical Engineering
- Faculty Of Computing, Eng. & Built Env. - Senior Lecturer
- Engineering Research
Person: Academic