Multiobjective Optimization of Laser Milling Parameters of Microcavities for the Manufacturing of DES

Abstract

This paper presents a multi-objective optimization of the laser milling process of micro-cavities for the manufacturing of drug eluting stents (DES). The diameter, depth and volume error are considered to be optimized in function of the process parameters including laser intensity, pulse frequency and scanning speed. A set of designed experiments is carried out in a pulsed Nd:YAG laser system using 316L Stainless Steel as a work material. Two different geometries are studied, and they are considered as another variable for the model. The multi-objective optimization problem is solved by NSGA-II algorithm, and the non-dominated Pareto-optimal fronts are obtained. The capability of the process to manufacture within a level of error is also investigated. Relative error capability maps for different scale of features are presented.

Comparison of Laser Milling Performance against Difficult-To-Cut Alloys: Parametric Significance, Modeling and Optimization for Targeted Material Removal

“…The goals were to obtain a maximum MRR and minimum surface roughness. While practicing the Nd:YAG laser milling, Teixidor et al [36] proposed an optimal set of process parameters against the set goals of achieving an optimal milling depth and volume of microcavities. The maximum material removal with minimum surface quality during laser milling of ceramics are researched by Umer et al [37].…”