Tool wear is a predominant aspect in precision milling environments that affects accuracy, surface finish, and cost efficiency.
Tool wear detection systems have previously utilized AI-based approaches, enabling real-time insights into sensor data streams comprising vibration, acoustic emissions, and spindle load variations.
Scrap and rework are also minimized as these systems enable proactive changes of tools before a drop in performance can be noticed. [Read more…] about AI-Driven Tool Wear Detection in Precision Milling