A multi-objective optimization of degradable polymer vascular stents

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.