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Optimizing through computational modeling to reduce dogboning of functionally graded coronary stent material

  • Clinical Applications of Biomaterials
  • Original Research
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Abstract

Coronary artery disease is the leading cause of death among the men and women. One of the most suitable treatments for this problem is balloon angioplasty with stenting. Functionally graded material (FGM) stents have shown suitable mechanical behavior in simulations. While their deformation was superior to uniform materials, the study was aimed at finding the most suitable configuration to reach the optimum performance. A combination of finite element method (FEM) and optimization algorithm have been used to fulfil this objective. To do that, three different conditions have been investigated in a Palmaz-Schatz geometry, where in the first and second ones the stent was a combination of steel and CoCr alloy (L605), and the third condition was a combination of CoCr alloy (L605) and CoCr alloy (F562). In the first and third conditions, dogboning was the objective function, but in the second condition a non-uniform deformation indicator was chosen as the objective function. In all three conditions the heterogeneous index was the control variable. The stent in the third condition showed a poor performance. While in the steel/CoCr alloy (L605) stents the heterogeneous index of 0.374 showed the lowest maximum dogboning, the heterogeneous index of 5 had more uniform deformation. Overall due to the lower dogboning of the steel/CoCr alloy (L605) stent with heterogeneous index of 0.374, this stent is recommended as the optimum stent in this geometrical configuration.

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Authors and Affiliations

  1. Atherosclerosis Research Center, Baqiyatallah University of Medical science, Tehran, Iran

    Arezoo Khosravi

  2. Department of Mechanical and Aerospace Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

    Amir Akbari

  3. Mechanical Engineering Department, Sahand University of Technology, Tabriz, Iran

    Hossein Bahreinizad

  4. Department of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran

    Milad Salimi Bani

  5. Department of Mechanical Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka, 819-0395, Japan

    Alireza Karimi

Authors
  1. Arezoo Khosravi
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  2. Amir Akbari
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  3. Hossein Bahreinizad
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  4. Milad Salimi Bani
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  5. Alireza Karimi
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Corresponding author

Correspondence to Milad Salimi Bani.

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Khosravi, A., Akbari, A., Bahreinizad, H. et al. Optimizing through computational modeling to reduce dogboning of functionally graded coronary stent material. J Mater Sci: Mater Med 28, 142 (2017). https://doi.org/10.1007/s10856-017-5959-7

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  • DOI: https://doi.org/10.1007/s10856-017-5959-7

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