Mingkai Liang, Ruiqi Zhang, Yuanming Gao, Li Shen, Lingsen You, Wentao Feng, Junbo Ge, Yubo Fan
{"title":"A multi-objective optimization of degradable polymer vascular stents.","authors":"Mingkai Liang, Ruiqi Zhang, Yuanming Gao, Li Shen, Lingsen You, Wentao Feng, Junbo Ge, Yubo Fan","doi":"10.1080/10255842.2025.2524477","DOIUrl":null,"url":null,"abstract":"<p><p>Degradable polymer stents face challenges of insufficient support and early fractures. A multi-objective structural optimization with three design variables was performed to enhance both mechanical and degradation performance, evaluated by effective working time (EWT) and support force (F). Surrogate models established the relationship between design variables and performance, while a genetic algorithm identified the optimal solution. The radial basis function (RBF) model exhibited superior accuracy. Compared to the initial structure, the optimized stent increased F by 52.1% and EWT by 27.4%, with prediction errors below 4%. This study presents an effective strategy to improve polymer stent performance.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-10"},"PeriodicalIF":1.7000,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Methods in Biomechanics and Biomedical Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/10255842.2025.2524477","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Degradable polymer stents face challenges of insufficient support and early fractures. A multi-objective structural optimization with three design variables was performed to enhance both mechanical and degradation performance, evaluated by effective working time (EWT) and support force (F). Surrogate models established the relationship between design variables and performance, while a genetic algorithm identified the optimal solution. The radial basis function (RBF) model exhibited superior accuracy. Compared to the initial structure, the optimized stent increased F by 52.1% and EWT by 27.4%, with prediction errors below 4%. This study presents an effective strategy to improve polymer stent performance.
期刊介绍:
The primary aims of Computer Methods in Biomechanics and Biomedical Engineering are to provide a means of communicating the advances being made in the areas of biomechanics and biomedical engineering and to stimulate interest in the continually emerging computer based technologies which are being applied in these multidisciplinary subjects. Computer Methods in Biomechanics and Biomedical Engineering will also provide a focus for the importance of integrating the disciplines of engineering with medical technology and clinical expertise. Such integration will have a major impact on health care in the future.