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Erschienen in: Medical & Biological Engineering & Computing 5/2017

15.09.2016 | Original Article

A new model for the artificial aorta blood vessels using double-sided radial functionally graded biomaterials

verfasst von: M. Salimi Bani, H. Asgharzadeh Shirazi, M. R. Ayatollahi, Alireza Asnafi

Erschienen in: Medical & Biological Engineering & Computing | Ausgabe 5/2017

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Abstract

Based on radial functionally graded biomaterials and inspired by the geometry of a real aorta blood vessel, a new model was proposed to fabricate the artificial blood vessels. A finite element analyzer is employed to reach the optimal and proper material properties while earlier, it was validated by two famous theories, i.e., the first shear deformation and the plane elasticity. First, the geometry of a real ascending aorta part was simulated and then solved under the axially varying blood pressure and other real and actual conditions. Since the construction of artificial blood vessels just similar to the natural one is impossible, it was tried to find the best substitutes for other materials. Due to the significant properties of functionally graded biomaterials in the reduction in sudden changes of stress and deformation, these types of materials were selected and studied. Two types of conventional single-sided and an efficient double-sided radial functionally graded vessel were proposed and simulated. The elastic behaviors of proposed vessels were obtained and compared to ones previously attained from the real vessel. The results show that all the desired behaviors cannot be achieved by using a conventional single-sided radial FG vessel. Instead and as a conjecture, a smart double-sided radial FG biomaterial is suggested. Fortunately, the proposed material can meet all the desired goals and satisfy all of the indices simultaneously.

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Metadaten
Titel
A new model for the artificial aorta blood vessels using double-sided radial functionally graded biomaterials
verfasst von
M. Salimi Bani
H. Asgharzadeh Shirazi
M. R. Ayatollahi
Alireza Asnafi
Publikationsdatum
15.09.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
Medical & Biological Engineering & Computing / Ausgabe 5/2017
Print ISSN: 0140-0118
Elektronische ISSN: 1741-0444
DOI
https://doi.org/10.1007/s11517-016-1569-7

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