4.5 Article

Preparation and thermophysical properties of graphite flake-carbon fiber coreinforced copper matrix composites

期刊

MATERIALS RESEARCH EXPRESS
卷 8, 期 12, 页码 -

出版社

IOP Publishing Ltd
DOI: 10.1088/2053-1591/ac440a

关键词

Cu; composite; modeling; thermal conductivity

资金

  1. National Science Foundation of China [51704113]
  2. Innovation and Entrepreneurship Training program for College students [202110534027]
  3. Scientific Research Fund of Hunan Provincial Education Department [21B0468]
  4. Natural Science Foundation of Hunan Province [2018JJ3172]

向作者/读者索取更多资源

Graphite flake-carbon fiber reinforced copper matrix composites were prepared using vacuum hot pressing technology. The study found that an appropriate amount of carbon fiber can effectively improve the bending strength and thermal conductivity of the composites, while excessive addition leads to a decrease in performance.
Graphite flake-carbon fiber coreinforced copper matrix composites were prepared by vacuum hot pressing technology. The carbon fibers were dispersed ultrasonic in alcohol and then mixed with graphite flake and alloys powder (Zr and Cu) for hot pressing sintering. The effects of the carbon fiber content on the microstructure, bending strength and thermal conductivity of the composites were investigated. The results show that the interface of the composites is well bonded. When the volume fraction of carbon fiber is 1%-3%, the carbon fiber can be uniformly dispersed in the matrix, and the bending strength of the composites can be improved effectively. When the volume fraction of carbon fiber is 2%, the bending strength reaches a maximum of 152 MPa, which is an increase of 60% compared with that of the composites without carbon fiber. However, an excessive addition of carbon fiber (4% or more) leads to an uneven distribution of carbon fiber, and the bending strength of the composites decreases. When the volume fraction of carbon fiber is 2%, the thermal conductivity of the composite is 597 W center dot m(-1)center dot K-1. The acoustic mismatch model (AMM) associated with the Digimat MF module is able to predict the thermal conductivity of the anisotropic multiphase composites.

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