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Shape memory response of porous NiTi shape memory alloys fabricated by selective laser melting

Overview of attention for article published in Journal of Materials Science: Materials in Medicine, March 2018
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Title
Shape memory response of porous NiTi shape memory alloys fabricated by selective laser melting
Published in
Journal of Materials Science: Materials in Medicine, March 2018
DOI 10.1007/s10856-018-6044-6
Pubmed ID
Authors

Soheil Saedi, Sayed E. Saghaian, Ahmadreza Jahadakbar, Narges Shayesteh Moghaddam, Mohsen Taheri Andani, Sayed M. Saghaian, Y. Charles Lu, Mohammad Elahinia, Haluk E. Karaca

Abstract

Porous NiTi scaffolds display unique bone-like properties including low stiffness and superelastic behavior which makes them promising for biomedical applications. The present article focuses on the techniques to enhance superelasticity of porous NiTi structures. Selective Laser Melting (SLM) method was employed to fabricate the dense and porous (32-58%) NiTi parts. The fabricated samples were subsequently heat-treated (solution annealing + aging at 350 °C for 15 min) and their thermo-mechanical properties were determined as functions of temperature and stress. Additionally, the mechanical behaviors of the samples were simulated and compared to the experimental results. It is shown that SLM NiTi with up to 58% porosity can display shape memory effect with full recovery under 100 MPa nominal stress. Dense SLM NiTi could show almost perfect superelasticity with strain recovery of 5.65 after 6% deformation at body temperatures. The strain recoveries were 3.5, 3.6, and 2.7% for samples with porosity levels of 32%, 45%, and 58%, respectively. Furthermore, it was shown that Young's modulus (i.e., stiffness) of NiTi parts can be tuned by adjusting the porosity levels to match the properties of the bones.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 110 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 18%
Student > Master 14 13%
Researcher 11 10%
Student > Doctoral Student 8 7%
Student > Bachelor 7 6%
Other 12 11%
Unknown 38 35%
Readers by discipline Count As %
Engineering 37 34%
Materials Science 18 16%
Medicine and Dentistry 4 4%
Computer Science 2 2%
Agricultural and Biological Sciences 1 <1%
Other 5 5%
Unknown 43 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 April 2018.
All research outputs
#15,504,780
of 23,041,514 outputs
Outputs from Journal of Materials Science: Materials in Medicine
#1,048
of 1,406 outputs
Outputs of similar age
#212,262
of 332,419 outputs
Outputs of similar age from Journal of Materials Science: Materials in Medicine
#3
of 11 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,406 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 332,419 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.