AI-Driven Optimization of Tool Lifetime:

Purpose:
The project seeks to design and validate an intelligent, AI‑enabled IoT system for predicting cutting tool wear and optimizing tool lifetime in machining operations. Using multisensory data and advanced analytics, the solution will link production parameters with tool degradation to reduce unplanned failures and increase cost‑effective tool usage. Through collaboration between academia and industry, the project contributes new insights into smart manufacturing and predictive maintenance.

Contact Information:

Associate Professor Chen LI