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Cited by 721

The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.

Selective Laser Melting of Titanium Alloys and Titanium Matrix Composites for Biomedical Applications: A Review

Zhang, Lai‐Chang, Attar, Hooyar·2016·Advanced Engineering Materials

Abstract

Titanium materials are ideal targets for selective laser melting (SLM), because they are expensive and difficult to machinery using traditional technologies. After briefly introducing the SLM process and processing factors involved, this paper reviews the recent progresses in SLM of titanium alloys and their composites for biomedical applications, especially developing new titanium powder for SLM. Although the current feedstock titanium powder for SLM is limited to CP‐Ti, Ti–6Al–4V, and Ti–6Al–7Nb, this review extends attractive progresses in the SLM of all types of titanium, composites, and porous structures including Ti–24Nb–4Zr–8Sn and Ti–TiB/TiC composites with focus on the manufacture by SLM and resulting unique microstructure and properties (mechanical, wear/corrosion resistance properties).

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Crossref · 10.1002/adem.201500419

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Metadata

Authors
Zhang, L., & Attar, H.
Venue
Advanced Engineering Materials
Publisher
Wiley
Published
2015-10-06
Volume
18
Issue
4
Pages
463-475
ISSN
  • 1438-1656 (ISSN-L)
  • 1527-2648
OpenAlex
W1910044559
Cited by
721
References
60
FWCI
52.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Selective Laser Melting of Titanium Alloys and Titanium Matrix Composites for Biomedical Applications: A Review. https://app.cochat.ai/papers/10.1002/adem.201500419
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Zhang, L., & Attar, H. (2016). Selective Laser Melting of Titanium Alloys and Titanium Matrix Composites for Biomedical Applications: A Review. Advanced Engineering Materials. https://doi.org/10.1002/adem.201500419

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.