Measurement method for dispersion states of filler particles in particulate composite materials by macroscopic permittivity

Kizuku Kushimoto, Mika Moriyama, Atsuko Shimosaka, Yoshiyuki Shirakawa, Jusuke Hidaka, Shingo Ishihara, Junya Kano

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)272-282
Number of pages11
JournalAdvanced Powder Technology
Volume32
Issue number1
DOIs
Publication statusPublished - 2021 Jan

Keywords

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

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Mechanics of Materials

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