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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
- 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.
- Subjects :
- 010302 applied physics
Copper matrix
Materials science
Mechanical Engineering
02 engineering and technology
Conductivity
021001 nanoscience & nanotechnology
01 natural sciences
Thermal conductivity
Mechanics of Materials
Electrical resistivity and conductivity
0103 physical sciences
Volume fraction
Copper matrix composites
Particle
General Materials Science
Composite material
0210 nano-technology
Electrical conductor
Subjects
Details
- ISSN :
- 15441024 and 10599495
- Volume :
- 28
- Database :
- OpenAIRE
- Journal :
- Journal of Materials Engineering and Performance
- Accession number :
- edsair.doi...........623c20a61ef06d19d30f04b93b409c8c