About this document
Sensors 23 05431 by barathrajbabu is a document available to read on EtoBox.
The document discusses a Digital Twin (DT) driven tool condition monitoring system for the milling process, focusing on improving machining accuracy and reducing costs through real-time monitoring. It utilizes machine learning algorithms to analyze sensory data from vibrations and sounds, achieving a prediction accuracy of 91% with a Probabilistic Neural Network. The study emphasizes the significance of tool condition monitoring in manufacturing, particularly for the machining of Inconel 625, and highlights
- Author
- barathrajbabu
- Language
- EN