Tribological implications of spindle stability: a real-time diagnostic approach to surface quality
摘要
Through experimental investigations, a five-axis machining center, UX-300, is respectively used as the platform to collect spindle vibration and current signals during cutting processes. These signals are analyzed using PDPS for feature extraction and Principal Component Analysis (PCA). By establishing a PDPS health model, real-time monitoring and analysis of vibration signals are performed to explore the effects of natural frequency spindle speeds and general spindle speeds on machining stability and surface quality. The experimental results showed that at natural frequency spindle speeds, spindle vibration led to reduced stability and poorer surface roughness, resulting in lower machining quality compared to general spindle speeds. PCA distribution maps indicated more dispersed data patterns at natural frequency speeds, reflecting poor spindle health.