Modeling and prediction of the cutting temperature of SiCp/Al composites for quasi-intermittent vibration assisted swing cutting

View at publisher
Authors: Mingming Lu, Linhao Li, Yu Du, Zhun Qiao, Jieqiong Lin
Cited by: 0
References: 27

Abstract

SiCp/Al is widely used in the manufacturing of high-end equipment, but it is difficult to process and poor in surface quality. Conversely, Quasi-intermittent Vibration Assisted Swing Cutting (QVASC) combines the intermittent cutting mechanism of EVC (Elliptical Vibration Cutting) while effectively reducing cutting forces via its unique offset swing motion. This study undertakes detailed analysis of the kinematics and friction characteristics intrinsic to QVASC. A predictive model for cutting temperature is subsequently developed, incorporating the influence of reinforcing particles. This model primarily ascribes the generated heat to two sources: the shear heat source and the frictional heat source, further examining resultant temperature distributions in the tool, workpiece, and chip alongside corresponding heat partition ratios. Single-factor experiments were conducted with spindle speed, cutting depth, frequency, amplitude, and feed amount as parameters. Theoretical and experimental cutting temperatures are compared, revealing consistent trends. Calculated average relative errors for these parameters are 4.65%, 9.50%, 3.32%, 2.58%, and 3.81% respectively. These errors lie within acceptable limits, validating the theoretical model’s accuracy. Consequently, this research provides valuable insights into the QVASC cutting mechanism and offers an efficient approach for determining optimal cutting parameters.

Fields of Study & Subjects

Advanced machining processes and optimization Advanced Machining and Optimization Techniques Engineering Technology and Methodologies

Publication details

Journal / source
Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture
Publication date
10 March 2026
Language
EN