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  5. On the study of tailorable interface structure in a diamond/Al12Si composite processed by selective laser melting

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Article
English
2019

On the study of tailorable interface structure in a diamond/Al12Si composite processed by selective laser melting

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English
2019
Materialia
Vol 5
DOI: 10.1016/j.mtla.2019.100242

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Jean-pierre Kruth
Jean-pierre Kruth

Ku Leuven

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Yue Ma
Gang Ji
Xiaopeng Li
+6 more

Abstract

Aluminum-diamond composites were produced using selective laser melting (SLM) from mechanically mixed diamond and Al12Si powders for use in thermal management applications. The feasibility of SLM for both interface tailoring and simultaneously densification, which are the key for determining the overall thermal conductivity (TC) of the composites, has been investigated. The results indicate that the interface structure of the as-built composites can be controlled, despite the complex physical and chemical nature of SLM. A ‘clean’ diffusion-bonded interface revealed at the micron scale, which is desirable for enhancing TC, was obtained at a laser energy density of 95.2 J/mm3. This demonstrates a possible new potential of SLM in creating metal matrix composites for functional applications. However, despite manipulation of the processing parameters, it was not possible to achieve a relative density above 90%. Thus, how to realize near full density, while maintaining such a ‘clean’ interface during SLM remains a key technical problem for the future. The complex metallurgical mechanisms responsible for interface evolution and microstructure formation are discussed in detail with the aid of finite element analysis, and further densification strategies are proposed.

How to cite this publication

Yue Ma, Gang Ji, Xiaopeng Li, Chaoyue Chen, Zhanqiu Tan, Ahmed Addad, Zhi Qiang Li, T.B. Sercombe, Jean-pierre Kruth (2019). On the study of tailorable interface structure in a diamond/Al12Si composite processed by selective laser melting. Materialia, 5, pp. 100242-100242, DOI: 10.1016/j.mtla.2019.100242.

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Publication Details

Type

Article

Year

2019

Authors

9

Datasets

0

Total Files

0

Language

English

Journal

Materialia

DOI

10.1016/j.mtla.2019.100242

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