Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Jan 12;8(1):478.
doi: 10.18063/ijb.v8i1.478. eCollection 2022.

Perspectives on Additive Manufacturing Enabled Beta-Titanium Alloys for Biomedical Applications

Affiliations

Perspectives on Additive Manufacturing Enabled Beta-Titanium Alloys for Biomedical Applications

Swee Leong Sing. Int J Bioprint. .

Abstract

"Stress shielding" caused by the mismatch of modulus between the implant and natural bones, is one of the major problems faced by current commercially used biomedical materials. Beta-titanium (β-Ti) alloys are a class of materials that have received increased interest in the biomedical field due to their relatively low elastic modulus and excellent biocompatibility. Due to their lower modulus, β-Ti alloys have the potential to reduce "stress shielding." Powder bed fusion (PBF), a category of additive manufacturing, or more commonly known as 3D printing techniques, has been used to process β-Ti alloys. In this perspective article, the emerging research of PBF of β-Ti alloys is covered. The potential and limitations of using PBF for these materials in biomedical applications are also elucidated with focus on the perspectives from processes, materials, and designs. Finally, future trends and potential research topics are highlighted.

Keywords: 3D printing; Additive manufacturing; Electron beam melting; Powder bed fusion; Selective laser melting; Titanium.

PubMed Disclaimer

Conflict of interest statement

The author declared no known conflict of interest.

Figures

Figure 1
Figure 1
Powder bed fusion process.
Figure 2
Figure 2
Powder bed fusion process. (A) Typical approach. (B) In situ alloying.
Figure 3
Figure 3
A conceptual framework for predicting manufacturability for powder bed fusion using machine learning.

References

    1. Liu ZH, Zhang DQ, Chua CK, et al. Crystal Structure Analysis of M2 High Speed Steel Parts Produced by Selective Laser Melting. Mater Characterization. 2013;84:72–80. https://doi.org/10.1016/j.matchar.2013.07.010.
    1. Sing SL, Yeong WY, Wiria FE, et al. Characterization of Titanium Lattice Structures Fabricated by Selective Laser Melting Using an Adapted Compressive Test Method. Exp Mech. 2016;56:735–48. https://doi.org/10.1007/s11340-015-0117-y.
    1. Herzog D, Seyda V, Wycisk E, et al. Additive Manufacturing of Metals. Acta Mater. 2016;117:371–92. https://doi.org/10.1016/j.actamat.2016.07.019.
    1. Sing SL, Yeong WY, Wiria FE, et al. Direct Selective Laser Sintering and Melting of Ceramics:A Review. Rapid Prototyp J. 2017;23:611–23. https://doi.org/10.1108/rpj-11-2015-0178.
    1. Yap CY, Chua CK, Dong ZL, et al. Review of Selective Laser Melting:Materials and Applications. Appl Phys Rev. 2015;2:041101. https://doi.org/10.1063/1.4935926.

LinkOut - more resources