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Effects of Particle Characteristic Parameters on the Electrical Conductivity of TiB2/Cu Composites: A Modified Model for Predicting Their Electrical Conductivity

Authors :
Xiuhua Guo
Yi Zhang
Jiang Feng
Shuhua Liang
Kexing Song
Li Guohui
Alex A. Volinsky
Source :
Journal of Materials Engineering and Performance. 28:4316-4323
Publication Year :
2019
Publisher :
Springer Science and Business Media LLC, 2019.

Abstract

High-strength and highly conductive copper matrix composites can not only maintain excellent electrical and thermal conductivity but also enhance the strength and hardness of materials, showing that composites have a bright future for development. Predictions of the effective electrical conductivity of copper matrix composites disagree with experimental data due to the dependence of the composites on several factors. Most prediction models simply consider the influence of the particle volume fraction on conductivity. In the present study, the influence of the volume fraction and the size of the TiB2 particle on the electrical conductivity of TiB2/Cu composites are investigated. The obtained electrical conductivity results correlate with the volume fraction, size, and distribution of particles in a pure copper matrix. A modified model for predicting the electrical conductivity is proposed where the particle spacing parameters are introduced into the existing Maxwell model. The particle spacing parameter, as a fitting parameter, fits the experimental data of the copper matrix composites excellently.

Details

ISSN :
15441024 and 10599495
Volume :
28
Database :
OpenAIRE
Journal :
Journal of Materials Engineering and Performance
Accession number :
edsair.doi...........623c20a61ef06d19d30f04b93b409c8c