Nanomaterial-loaded
thermoplastics are attractive for applications
in adaptive printing methods, as the physical properties of the printed
materials are dependent on the nanomaterial type and degree of dispersion.
This study compares the dispersion and the impact on the dielectric
properties of two common nanoparticles, nickel and iron oxide, loaded
into polystyrene. Comparisons between commercial and synthetically
prepared samples indicate that well-passivated synthetically prepared
nanomaterials are dispersed and minimize the impact on the dielectric
properties of the host polymer by limiting particle–particle
contacts. Commercial samples were observed to phase-segregate, leading
to the loss of the low-
k
performance of polystyrene.
The change in the real and imaginary dielectric was systematically
studied in two earth abundant nanoparticles at the concentration between
0 and 13 vol % (0–50 wt %). By varying the volume percentage
of fillers in the matrix, it is shown that one can increase the magnetic
properties of the materials while minimizing unwanted contributions
to the dielectric constant and dielectric loss. The well-dispersed
nanoparticle systems were successfully modeled through the Looyenga
dielectric theory, thus giving one a predictive ability for the dielectric
properties. The current experimental work coupled with modeling could
facilitate future material choices and guide design rules for printable
polymer composite systems.