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Evaluation and characterization of nitinol stents produced by selective laser melting with various process parameters

Progress in Additive Manufacturing, ISSN: 2363-9520, Vol: 7, Issue: 6, Page: 1141-1153
2022
  • 10
    Citations
  • 0
    Usage
  • 27
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    10
    • Citation Indexes
      10
  • Captures
    27

Article Description

Various studies have reported 3D printing of superelastic nitinol parts. However, the sizes of samples are several scales larger than those in the biomedical applications, which provides insufficient values for the industry use. To investigate the feasibility of SLM fabrication of thinner nitinol medical devices, i.e., stent, this study has systematically explored how the process parameters affect the final quality of the printed parts. Firstly, the nitinol powders have been validated through various testings on flow property, powder behavior, and size distribution to ensure the reproducibility of nitinol devices. Then the process-microstructure-property relation of nitinol wire was investigated experimentally based on the phase transformation temperature, microstructures, phase or crystalline structures, and nickel-titanium atomic weight percentage. In the last, novel superelastic nitinol stents with two different closed-cell designs were successfully printed using the selected process parameters. A comprehensive mechanical/material characterization and biocompatibility assessment have been conducted on these 3D printed stents. In summary, this preliminary study provided a guideline on how to print thin nitinol medical devices, also demonstrated that with the suitable process parameter, it is highly feasible to use SLM to accurately print thin nitinol devices with high density, uniform strut diameters, adequate superelasticity, and excellent biocompatibility. Graphical abstract: [Figure not available: see fulltext.].

Bibliographic Details

Lina Yan; Sin Liang Soh; Wen Feng Lu; Niyou Wang; Qianhui Ma; A. Senthil Kumar; Jerry Ying Hsi Fuh; S. Thameem Dheen

Springer Science and Business Media LLC

Engineering

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