No Cover Image

Journal article 511 views 74 downloads

Reliable Numerical Models of Nickel-Titanium Stents: How to Deduce the Specific Material Properties from Testing Real Devices

Francesca Berti Orcid Logo, Sara Bridio, Giulia Luraghi, Sanjay Pant Orcid Logo, Dario Allegretti, Giancarlo Pennati, Lorenza Petrini

Annals of Biomedical Engineering, Volume: 50, Issue: 4, Pages: 467 - 481

Swansea University Author: Sanjay Pant Orcid Logo

  • 59378.pdf

    PDF | Version of Record

    This article is licensed under a Creative Commons Attribution 4.0 International License

    Download (1.72MB)

Abstract

The current interest of those dealing with medical research is the preparation of digital twins. In this frame, the first step to accomplish is the preparation of reliable numerical models. This is a challenging task since it is not common to know the exact device geometry and material properties un...

Full description

Published in: Annals of Biomedical Engineering
ISSN: 0090-6964 1573-9686
Published: Springer Science and Business Media LLC 2022
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa59378
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2022-02-11T09:36:54Z
last_indexed 2023-01-11T14:40:36Z
id cronfa59378
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2022-10-31T20:03:47.3674115</datestamp><bib-version>v2</bib-version><id>59378</id><entry>2022-02-11</entry><title>Reliable Numerical Models of Nickel-Titanium Stents: How to Deduce the Specific Material Properties from Testing Real Devices</title><swanseaauthors><author><sid>43b388e955511a9d1b86b863c2018a9f</sid><ORCID>0000-0002-2081-308X</ORCID><firstname>Sanjay</firstname><surname>Pant</surname><name>Sanjay Pant</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2022-02-11</date><deptcode>MECH</deptcode><abstract>The current interest of those dealing with medical research is the preparation of digital twins. In this frame, the first step to accomplish is the preparation of reliable numerical models. This is a challenging task since it is not common to know the exact device geometry and material properties unless in studies performed in collaboration with the manufacturer. The particular case of modeling Ni-Ti stents can be highlighted as a worst-case scenario due to both the complex geometrical features and non-linear material response. Indeed, if the limitations in the description of the geometry can be overcome, many difficulties still exist in the assessment of the material, which can vary according to the manufacturing process and requires many parameters for its description. The purpose of this work is to propose a coupled experimental and computational workflow to identify the set of material properties in the case of commercially-resembling Ni-Ti stents. This has been achieved from non-destructive tensile tests on the devices compared with results from Finite Element Analysis (FEA). A surrogate modeling approach is proposed for the identification of the material parameters, based on a minimization problem on the database of responses of Ni-Ti materials obtained with FEA with a series of different parameters. The reliability of the final result was validated through the comparison with the output of additional experiments.</abstract><type>Journal Article</type><journal>Annals of Biomedical Engineering</journal><volume>50</volume><journalNumber>4</journalNumber><paginationStart>467</paginationStart><paginationEnd>481</paginationEnd><publisher>Springer Science and Business Media LLC</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0090-6964</issnPrint><issnElectronic>1573-9686</issnElectronic><keywords>Digital twin, surrogate modeling, material identification, self-expandable stent, model validation</keywords><publishedDay>1</publishedDay><publishedMonth>4</publishedMonth><publishedYear>2022</publishedYear><publishedDate>2022-04-01</publishedDate><doi>10.1007/s10439-022-02932-1</doi><url/><notes/><college>COLLEGE NANME</college><department>Mechanical Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MECH</DepartmentCode><institution>Swansea University</institution><apcterm/><funders>This study has received funding from the European Union&#x2019;s Horizon 2020 research and innovation program under Grant Agreement No 777072. This work has been supported also from MIUR 302 FISRFISR2019_03221 CECOMES.</funders><projectreference/><lastEdited>2022-10-31T20:03:47.3674115</lastEdited><Created>2022-02-11T09:32:58.1289471</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering</level></path><authors><author><firstname>Francesca</firstname><surname>Berti</surname><orcid>0000-0001-8621-2503</orcid><order>1</order></author><author><firstname>Sara</firstname><surname>Bridio</surname><order>2</order></author><author><firstname>Giulia</firstname><surname>Luraghi</surname><order>3</order></author><author><firstname>Sanjay</firstname><surname>Pant</surname><orcid>0000-0002-2081-308X</orcid><order>4</order></author><author><firstname>Dario</firstname><surname>Allegretti</surname><order>5</order></author><author><firstname>Giancarlo</firstname><surname>Pennati</surname><order>6</order></author><author><firstname>Lorenza</firstname><surname>Petrini</surname><order>7</order></author></authors><documents><document><filename>59378__22475__799999595d0549b8a424a5b0cc772d0b.pdf</filename><originalFilename>59378.pdf</originalFilename><uploaded>2022-02-28T12:07:08.9764996</uploaded><type>Output</type><contentLength>1802953</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>This article is licensed under a Creative Commons Attribution 4.0 International License</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling 2022-10-31T20:03:47.3674115 v2 59378 2022-02-11 Reliable Numerical Models of Nickel-Titanium Stents: How to Deduce the Specific Material Properties from Testing Real Devices 43b388e955511a9d1b86b863c2018a9f 0000-0002-2081-308X Sanjay Pant Sanjay Pant true false 2022-02-11 MECH The current interest of those dealing with medical research is the preparation of digital twins. In this frame, the first step to accomplish is the preparation of reliable numerical models. This is a challenging task since it is not common to know the exact device geometry and material properties unless in studies performed in collaboration with the manufacturer. The particular case of modeling Ni-Ti stents can be highlighted as a worst-case scenario due to both the complex geometrical features and non-linear material response. Indeed, if the limitations in the description of the geometry can be overcome, many difficulties still exist in the assessment of the material, which can vary according to the manufacturing process and requires many parameters for its description. The purpose of this work is to propose a coupled experimental and computational workflow to identify the set of material properties in the case of commercially-resembling Ni-Ti stents. This has been achieved from non-destructive tensile tests on the devices compared with results from Finite Element Analysis (FEA). A surrogate modeling approach is proposed for the identification of the material parameters, based on a minimization problem on the database of responses of Ni-Ti materials obtained with FEA with a series of different parameters. The reliability of the final result was validated through the comparison with the output of additional experiments. Journal Article Annals of Biomedical Engineering 50 4 467 481 Springer Science and Business Media LLC 0090-6964 1573-9686 Digital twin, surrogate modeling, material identification, self-expandable stent, model validation 1 4 2022 2022-04-01 10.1007/s10439-022-02932-1 COLLEGE NANME Mechanical Engineering COLLEGE CODE MECH Swansea University This study has received funding from the European Union’s Horizon 2020 research and innovation program under Grant Agreement No 777072. This work has been supported also from MIUR 302 FISRFISR2019_03221 CECOMES. 2022-10-31T20:03:47.3674115 2022-02-11T09:32:58.1289471 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering Francesca Berti 0000-0001-8621-2503 1 Sara Bridio 2 Giulia Luraghi 3 Sanjay Pant 0000-0002-2081-308X 4 Dario Allegretti 5 Giancarlo Pennati 6 Lorenza Petrini 7 59378__22475__799999595d0549b8a424a5b0cc772d0b.pdf 59378.pdf 2022-02-28T12:07:08.9764996 Output 1802953 application/pdf Version of Record true This article is licensed under a Creative Commons Attribution 4.0 International License true eng http://creativecommons.org/licenses/by/4.0/
title Reliable Numerical Models of Nickel-Titanium Stents: How to Deduce the Specific Material Properties from Testing Real Devices
spellingShingle Reliable Numerical Models of Nickel-Titanium Stents: How to Deduce the Specific Material Properties from Testing Real Devices
Sanjay Pant
title_short Reliable Numerical Models of Nickel-Titanium Stents: How to Deduce the Specific Material Properties from Testing Real Devices
title_full Reliable Numerical Models of Nickel-Titanium Stents: How to Deduce the Specific Material Properties from Testing Real Devices
title_fullStr Reliable Numerical Models of Nickel-Titanium Stents: How to Deduce the Specific Material Properties from Testing Real Devices
title_full_unstemmed Reliable Numerical Models of Nickel-Titanium Stents: How to Deduce the Specific Material Properties from Testing Real Devices
title_sort Reliable Numerical Models of Nickel-Titanium Stents: How to Deduce the Specific Material Properties from Testing Real Devices
author_id_str_mv 43b388e955511a9d1b86b863c2018a9f
author_id_fullname_str_mv 43b388e955511a9d1b86b863c2018a9f_***_Sanjay Pant
author Sanjay Pant
author2 Francesca Berti
Sara Bridio
Giulia Luraghi
Sanjay Pant
Dario Allegretti
Giancarlo Pennati
Lorenza Petrini
format Journal article
container_title Annals of Biomedical Engineering
container_volume 50
container_issue 4
container_start_page 467
publishDate 2022
institution Swansea University
issn 0090-6964
1573-9686
doi_str_mv 10.1007/s10439-022-02932-1
publisher Springer Science and Business Media LLC
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering
document_store_str 1
active_str 0
description The current interest of those dealing with medical research is the preparation of digital twins. In this frame, the first step to accomplish is the preparation of reliable numerical models. This is a challenging task since it is not common to know the exact device geometry and material properties unless in studies performed in collaboration with the manufacturer. The particular case of modeling Ni-Ti stents can be highlighted as a worst-case scenario due to both the complex geometrical features and non-linear material response. Indeed, if the limitations in the description of the geometry can be overcome, many difficulties still exist in the assessment of the material, which can vary according to the manufacturing process and requires many parameters for its description. The purpose of this work is to propose a coupled experimental and computational workflow to identify the set of material properties in the case of commercially-resembling Ni-Ti stents. This has been achieved from non-destructive tensile tests on the devices compared with results from Finite Element Analysis (FEA). A surrogate modeling approach is proposed for the identification of the material parameters, based on a minimization problem on the database of responses of Ni-Ti materials obtained with FEA with a series of different parameters. The reliability of the final result was validated through the comparison with the output of additional experiments.
published_date 2022-04-01T04:16:38Z
_version_ 1763754113579876352
score 10.99342