Tensile strength modeling of braided bicomponent ureteral stent with particle swarm optimization algorithm

A tensile strength model of bicomponent stents composed of poly(lactic-co-glycolic acid) (PGLA) and poly(glycolic acid) (PGA) was established. Particle swarm optimization (PSO) algorithm was devotedto estimate (the optimal parameters of the tensile strength model. In order to improve the generalization ability of the model, cross-validation of the measured data was used to adjust related parameters of the process model. Subsequently, the root mean square(R.M.S) of deviation of the model wasless than the value of cross validation. Generalization ability of the model was improved. The experimental data and simulated data fit well, proving that the model could closely reflect the drawing process of ureteral stents.