Detection and analysis of chatter occurrence in micro-milling process
Author(s) -
Huaizhong Li,
Xiubing Jing,
Jun Wang
Publication year - 2014
Publication title -
proceedings of the institution of mechanical engineers part b journal of engineering manufacture
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.861
H-Index - 64
eISSN - 2041-2975
pISSN - 0954-4054
DOI - 10.1177/0954405414522216
Subject(s) - accelerometer , vibration , frequency domain , acceleration , machining , dimensionless quantity , process (computing) , signal (programming language) , time domain , root mean square , amplitude , acoustics , engineering , control theory (sociology) , computer science , mathematics , mechanical engineering , mathematical analysis , physics , mechanics , artificial intelligence , optics , electrical engineering , control (management) , classical mechanics , computer vision , programming language , operating system
An experimental study to understand the characteristics related to chatter occurrence in micro-milling operations is presented. Accelerometers are used to measure the vibration signals in the machining process. The acceleration signals are then analysed in the time domain and the frequency domain. Along with the onset of chatter, it is found that there is a characteristic shift of the dominant frequency components in addition to the change of vibration amplitude. A modulation of the spindle frequency around the chatter frequency is also found to be present in the vibration signal. A dimensionless chatter indicator based on revolution root-mean-square values is designed and used to evaluate the stability of the micro-milling process. It is shown that the proposed indicator provides a simple, but effective way to detect chatter onset.Full Tex
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom