Adaptive Vibration Control in CNC Milling Using Piezoelectric Smart Sensors

Abstract

In high-precision CNC milling operations, maintaining optimal surface quality and tool life remains a persistent challenge due to unwanted vibrations. These vibrations often arise from tool-workpiece interaction, spindle dynamics, or structural resonance. This paper investigates the application of piezoelectric smart sensors for real-time adaptive vibration control in CNC milling. It discusses the integration of piezoelectric materials for active damping, the implementation of real-time feedback control systems, and advanced signal processing techniques. Through experimentation and modeling, the study demonstrates a significant reduction in vibration amplitude and improvement in surface finish. The results affirm that piezoelectric-based adaptive systems are a robust solution for high-performance machining.

Keywords: adaptive damping, piezoelectric materials, CNC milling, vibration suppression, real-time control, signal processing, surface roughness