Translated Paper: SPTJ Best Paper Award 2019
Measurement method for dispersion states of filler particles in particulate composite materials by macroscopic permittivity,☆☆

https://doi.org/10.1016/j.apt.2020.12.003Get rights and content
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Highlights

  • We propose a new model, named Layer structure model, to estimate the macroscopic permittivity of particulate composite materials.

  • The Layer structure model can consider the particle size distribution.

  • We develop a new method for estimating the filler dispersion state by applying the Layer structure model.

  • The validaties of the model and method are confirmed by comparing with experiments, respectively.

Abstract

A new model for estimating macroscopic permittivity was proposed to predict filler particles' dispersion states in a particulate composite material. In the model, the estimation targets are randomly packed composite materials. The composite materials were represented as a cluster of unit cells. A proposed layer structure model connected the unit cells. The macroscopic permittivity was estimated by calculating the synthetic capacity of the cluster. The proposed model was validated by comparisons between estimated and measured macroscopic permittivity of several particulate composite materials. It was also identified that the proposed model could estimate the permittivity more accurately than an existing theoretical equation's one due to considering the effects for the dispersion states of filler particles. Furthermore, it was indicated that the proposed model could also estimate the dispersion states of filler particles by the measured permittivity. The applicability of the method was confirmed by comparisons between estimated and experimental dispersion states of filler particles.

Keywords

Permittivity
Particulate composite material
Filler dispersion states
Particle dispersion state
Layer structure model

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Open Access for this article was sponsored by the Society of Powder Technology, Japan, through the KAKENHI Grant Number 18HP2009/ Grant-in-Aid for Publication of Scientific Research Results, Japan Society for the Promotion of Science, 2021.

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Japanese version published in JSPTJ, Vol.56 No.1 (2019); English version for APT received on November 30, 2020.