Automatic Intelligent Cutter for CNC Machine Compensation
The project aims to design a machining cutter system with self-adjustment for cutting loads and automatic compensation for tool wear. Conventional cutting tools have a limited lifespan, and once the tool becomes worn, cutting forces can increase to dangerous levels, leading to tool breakage and potential damage to the workpiece.
Tool wear also reduces dimensional accuracy, making it difficult to maintain tight tolerances—particularly when machining hard-to-cut materials used in aerospace and automotive applications.
This project proposes the development of a device that automatically compensates for tool wear by applying a small corrective displacement to the tool insert. The system should be capable of capturing input data such as cutting force and dimensional variations. A PID control loop can then be integrated for real-time feedback and adjustment. Additionally, AI or fuzzy logic may be implemented to map input parameters to the required output for optimal tool performance.
Project Details
- Student(s): Roy Abdallah, Pietro Azar, Haris Korkut, Issa Hawi
- Advisor(s): Dr. Roland Bejjanji
- Year: 2025-2026