Integrating Finite Element Analysis and Machine Learning for Predictive Analysis of the Useful Life of Industrial Cutting Blades: A Case Study
This study presents a hybrid methodology that integrates finite element method (FEM) simulations with machine learning to create a highly efficient surrogate model capable of predicting the fatigue life of industrial cutting blades. Initially, an FEM analysis (Ansys v14.5) identifies von Mises stress as the main fail...