Multi-objective structural optimization and degradation model of magnesium alloy ureteral stent

作     者：Lin Zhu Qiao Li Yuanming Gao Lizhen Wang Yubo Fan 

作者机构：Key Laboratory for Biomechanics and Mechanobiology of Ministry of EducationBeijing Advanced Innovation Center for Biomedical EngineeringSchool of Biological Science and Medical EngineeringBeihang UniversityBeijing100083China School of Engineering MedicineBeihang UniversityBeijing100191China 

出 版 物：《Medicine in Novel Technology and Devices》 (医学中新技术与新装备（英文）)

年 卷 期：2024年第22卷第2期

页      面：19-28页

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 08[工学] 0836[工学-生物工程] 

基　　金：supported by the National Natural Science Foundation of China(12172034,U20A20390,and 11827803) Beijing Municipal Natural Science Foundation(7212205) the 111 project(B13003) the Fundamental Research Funds for the Central Universities 

主　　题：Mg alloys ureteral stent Kriging surrogate model NSGA-III Multi-objective optimization Degradation model 

摘      要：Background:Mg alloys have attractive properties,including biocompatibility,biodegradability,and ideal mechanical ***,Mg alloys are regarded as one of the promising candidates for manufacturing ureteral *** study proposed a multi-objective optimization method based on the Kriging surrogate model,NSGA-III,and finite element analysis to improve the degradation performance of Mg alloy ureteral ***:The finite element model for the degradation of Mg alloy ureteral stents has been established to compare the degradation performance of the stents under different *** hypercube sampling was adopted to generate train sample points in the design ***,the Kriging surrogate model was constructed between strut parameters and stent degradation *** NSGA-III was utilized to determine the optimal solution in the global design ***:The optimized stent achieved 5.52
degradation uniformity(M),10
degradation time(DT),and 4
work time(FT).The errors between the Kriging surrogate model and the finite element calculation results were less than 6%.Conclusion:The optimized stent achieved better degradation *** degradation behavior of stents was dependent on the design *** multi-objective optimization method based on the Kriging surrogate model and finite element analysis was effective in stent design optimization problems.