Numerical Models Can Assist Choice of an Aortic Phantom for In Vitro Testing
Abstract
:1. Introduction
2. Materials and Methods
2.1. Description of the Numerical Models
- Dirichlet conditions in portions of the solid domain, i.e., null displacements of the nodes;
- Neumann conditions at the inlet of the fluid domain, i.e., flow condition at the aortic inlet;
- Dirichlet conditions at the outlet of the fluid domain, i.e., pressure condition at the phantom outlet.
2.2. Materials Characterization
3. Results and Discussion
Study limitations and Future Developments
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Ogden | |||||
μ1 | α1 | D1 (MPa−1) | |||
1.73 × 10−1 | 4.39 | 1.193 | |||
Holzapfel | |||||
C (MPa) | k1 (MPa) | k2 | k | D (MPa−1) | θ° |
2.89 × 10−2 | 1.20 × 10−1 | 0.4 | 0.25 | 0.7 | 27 |
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Comunale, G.; Di Micco, L.; Boso, D.P.; Susin, F.M.; Peruzzo, P. Numerical Models Can Assist Choice of an Aortic Phantom for In Vitro Testing. Bioengineering 2021, 8, 101. https://doi.org/10.3390/bioengineering8080101
Comunale G, Di Micco L, Boso DP, Susin FM, Peruzzo P. Numerical Models Can Assist Choice of an Aortic Phantom for In Vitro Testing. Bioengineering. 2021; 8(8):101. https://doi.org/10.3390/bioengineering8080101
Chicago/Turabian StyleComunale, Giulia, Luigi Di Micco, Daniela Paola Boso, Francesca Maria Susin, and Paolo Peruzzo. 2021. "Numerical Models Can Assist Choice of an Aortic Phantom for In Vitro Testing" Bioengineering 8, no. 8: 101. https://doi.org/10.3390/bioengineering8080101