Akademik Veri Yönetim Sistemi
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2025 (SCI-Expanded, Scopus)
Chatter is an important problem in machining operations that limits productivity. To avoid chatter, stability lobe diagrams that provide the chatter-free machining conditions can be used. In addition to stability diagrams, chatter suppression techniques increase the stable regions and provide further increase in productivity. This paper presents an efficient real-time automatic chatter control (ACC) system to suppress the chatter in turning operations. The proposed control system is composed of two parts, which are chatter detection and spindle speed variation (SSV). To detect the chatter in real time, an extended Kalman filter (EKF) is utilized, and chatter is detected using the accelerometer measurements, which are located on the cutter. In addition, frequency estimation variance is employed as a novel chatter indicator to enhance detection performance. Once the chatter is detected, ACC sends the SSV parameters to suppress the chatter using the spindle speed override. The proposed algorithm is integrated into an industrial CNC controller, and the performance of the ACC is experimentally verified for the machining of a flexible workpiece. The proposed indicator is compared with the FFT-based signal processing techniques. Since EKF works recursively, it is shown that chatter onset can be detected accurately, and chatter can be suppressed before any significant chatter mark appears on the workpiece surface.