TY - JOUR
T1 - Measurement method for dispersion states of filler particles in particulate composite materials by macroscopic permittivity
AU - Kushimoto, Kizuku
AU - Moriyama, Mika
AU - Shimosaka, Atsuko
AU - Shirakawa, Yoshiyuki
AU - Hidaka, Jusuke
AU - Ishihara, Shingo
AU - Kano, Junya
N1 - Funding Information:
“Open Access for this article was sponsored by the Society of Powder Technology, Japan, by JSPS KAKENHI Grant Number 18HP2009, Grant-in-Aid for Publication of Scientific Research Results, Japan Society for the Promotion of Science, 2020.”
PY - 2021/1
Y1 - 2021/1
N2 - 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.
AB - 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.
KW - Filler dispersion states
KW - Layer structure model
KW - Particle dispersion state
KW - Particulate composite material
KW - Permittivity
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U2 - 10.1016/j.apt.2020.12.003
DO - 10.1016/j.apt.2020.12.003
M3 - Article
AN - SCOPUS:85098141757
VL - 32
SP - 272
EP - 282
JO - Advanced Powder Technology
JF - Advanced Powder Technology
SN - 0921-8831
IS - 1
ER -