Prediction of Tool-Work Contact Ratio in Vibration Assisted Turning Using Decision Tree Algorithm
摘要
The demand for high-precision components in modern engineering necessitates advanced machining techniques. Ultrasonic vibration assisted turning (UVAT) has demonstrated substantial enhancements compared to traditional turning methods. This study focuses on predicting the tool-work contact ratio (TWCR) in UVAT of Ti6Al4V alloy using decision tree algorithm. TWCR is crucial for evaluating UVAT performance. The machining conditions are cutting speed of 10, 20, and 50 m/min, feed rate is 0.051, 0.103, 0.161 mm/rev, depth of cut (DOC) is 0.1, 0.2, 0.3 mm, and vibration frequency 20 kHz under dry condition. The study examines the influence of various input parameters on TWCR and develops a prediction model to enhance the precision of UVAT process. The UVAT process yields maximum benefits at a TWCR of 0.135, with its impact being most pronounced under lower cutting conditions. Conversely, at higher cutting conditions within the specified range, thermal loading takes precedence.