By Atul Gupta, Patrick Koch, and Xiangyi Liu
Finite Element Analysis (FEA) has been widely used to analyze the in vivo structural response of implantable medical devices and assess device performance, reliability and durability. In order to obtain a robust design, parameter variations and their influence on device performance need to be understood. Probabilistic analysis techniques like Monte Carlo sampling combined with FEA clarify these stochastic processes and in determining probability of failure and design reliability. In this study, FEA using Abaqus is combined with statistical and probabilistic analysis using Isight to demonstrate how these techniques work together to evaluate the robustness of medical device designs. Download the full paper for more information.