EconPapers    
Economics at your fingertips  
 

Comparison of computational modelling techniques for braided stent analysis

Nicola Kelly, Donnacha J. McGrath, Caoimhe A. Sweeney, Kathrin Kurtenbach, James A. Grogan, Stefan Jockenhoevel, Barry J. O’Brien, Mark Bruzzi and Peter E. McHugh

Computer Methods in Biomechanics and Biomedical Engineering, 2019, vol. 22, issue 16, 1334-1344

Abstract: Braided stents are associated with a number of complications in vivo. Accurate computational modelling of these devices is essential for the design and development of the next generation of these stents. In this study, two commonly utilised methods of computationally modelling filament interaction in braided stents are investigated: the join method and the weave method. Three different braided stent designs are experimentally tested and computationally modelled in both radial and v-block configurations. The results of the study indicate that while both methods are capable of capturing braided stent performance to some degree, the weave method is much more robust.

Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/10255842.2019.1663414 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:gcmbxx:v:22:y:2019:i:16:p:1334-1344

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/gcmb20

DOI: 10.1080/10255842.2019.1663414

Access Statistics for this article

Computer Methods in Biomechanics and Biomedical Engineering is currently edited by Director of Biomaterials John Middleton

More articles in Computer Methods in Biomechanics and Biomedical Engineering from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:gcmbxx:v:22:y:2019:i:16:p:1334-1344