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Reliable Numerical Models of Nickel-Titanium Stents: How to Deduce the Specific Material Properties from Testing Real Devices
Annals of Biomedical Engineering, Volume: 50, Issue: 4, Pages: 467 - 481
Swansea University Author: Sanjay Pant
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DOI (Published version): 10.1007/s10439-022-02932-1
The current interest of those dealing with medical research is the preparation of digital twins. In this frame, the first step to accomplish is the preparation of reliable numerical models. This is a challenging task since it is not common to know the exact device geometry and material properties un...
|Published in:||Annals of Biomedical Engineering|
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The current interest of those dealing with medical research is the preparation of digital twins. In this frame, the first step to accomplish is the preparation of reliable numerical models. This is a challenging task since it is not common to know the exact device geometry and material properties unless in studies performed in collaboration with the manufacturer. The particular case of modeling Ni-Ti stents can be highlighted as a worst-case scenario due to both the complex geometrical features and non-linear material response. Indeed, if the limitations in the description of the geometry can be overcome, many difficulties still exist in the assessment of the material, which can vary according to the manufacturing process and requires many parameters for its description. The purpose of this work is to propose a coupled experimental and computational workflow to identify the set of material properties in the case of commercially-resembling Ni-Ti stents. This has been achieved from non-destructive tensile tests on the devices compared with results from Finite Element Analysis (FEA). A surrogate modeling approach is proposed for the identification of the material parameters, based on a minimization problem on the database of responses of Ni-Ti materials obtained with FEA with a series of different parameters. The reliability of the final result was validated through the comparison with the output of additional experiments.
Digital twin, surrogate modeling, material identification, self-expandable stent, model validation
Faculty of Science and Engineering
This study has received funding from the European Union’s Horizon 2020 research and innovation program under Grant Agreement No 777072. This work has been supported also from MIUR 302 FISRFISR2019_03221 CECOMES.