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Mechanical Modeling with Particle Swarm Optimization Algorithm for Braided Bicomponent Ureteral Stent

This paper focuses on using particle swarm optimization (PSO) algorithm to estimate and find the optimal parameters of the compression model of bicomponent stents composed of poly(lactic-co-glycolic acid) (PGLA) and poly(glycolic acid) (PGA). Generalization model was get through five cross-validation of the experimental data obtained from tests. The experimental data and simulated data fit well, proving that the model could closely reflect the processing of compression mechanical properties of the ureteral stents. Based on the generalization model, numerical simulation method was used to analysis the influence between braiding angle and mechanical properties of the bicomponent stents qualitatively.