TY - JOUR
T1 - A method for quantitative characterization of agglomeration degree in nanocomposites
AU - Golbang, A.
AU - Famili, M. H.N.
AU - Shirvan, M. Mokhtari Motameni
PY - 2017/6/16
Y1 - 2017/6/16
N2 - 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.
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.
KW - Electrical properties
KW - Modelling
KW - Nanocomposite
KW - Non-destructive testing
UR - https://pure.ulster.ac.uk/en/publications/a-method-for-quantitative-characterization-of-agglomeration-degre
UR - http://www.scopus.com/inward/record.url?scp=85017444477&partnerID=8YFLogxK
U2 - 10.1016/j.compscitech.2017.04.013
DO - 10.1016/j.compscitech.2017.04.013
M3 - Article
AN - SCOPUS:85017444477
SN - 0266-3538
VL - 145
SP - 181
EP - 186
JO - Composites Science and Technology
JF - Composites Science and Technology
ER -