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Design Optimization of Coronary Stent Based on Finite Element Models
Joint Authors
Li, Hongxia
Zhu, Bao
Wu, Jinying
Wang, Xicheng
Qiu, Tianshuang
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-03
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
This paper presents an effective optimization method using the Kriging surrogate model combing with modified rectangular grid sampling to reduce the stent dogboning effect in the expansion process.
An infilling sampling criterion named expected improvement (EI) is used to balance local and global searches in the optimization iteration.
Four commonly used finite element models of stent dilation were used to investigate stent dogboning rate.
Thrombosis models of three typical shapes are built to test the effectiveness of optimization results.
Numerical results show that two finite element models dilated by pressure applied inside the balloon are available, one of which with the artery and plaque can give an optimal stent with better expansion behavior, while the artery and plaque unincluded model is more efficient and takes a smaller amount of computation.
American Psychological Association (APA)
Li, Hongxia& Qiu, Tianshuang& Zhu, Bao& Wu, Jinying& Wang, Xicheng. 2013. Design Optimization of Coronary Stent Based on Finite Element Models. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1033140
Modern Language Association (MLA)
Li, Hongxia…[et al.]. Design Optimization of Coronary Stent Based on Finite Element Models. The Scientific World Journal No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-1033140
American Medical Association (AMA)
Li, Hongxia& Qiu, Tianshuang& Zhu, Bao& Wu, Jinying& Wang, Xicheng. Design Optimization of Coronary Stent Based on Finite Element Models. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1033140
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1033140