SCOPE
This study focuses on developing a predictive tool wear monitoring system using a simulation-based approach. The work is limited to analyzing the effect of three machining parameters-cutting speed, tool tip radius, and depth of cut on the vibrational and structural behavior of a single-point cutting tool. The tool and workpiece are modeled in CAD and analyzed using Finite Element Analysis (FEA) for stress and modal characteristics. The vibration response is studied under varying conditions based on a design of experiments. The study does not involve real-time sensor data collection or physical machining trials but lays the foundation for future integration with experimental and machine learning techniques.