Abstract
Vibration is one of the most important parameters in micro milling. Based on the establishment of vibration signal measuring system with miniature turn-milling machine tool, tri-axial piezoelectricity accelerometer and multi-channel charge amplifier, vibration signal of three components as well as their time domain and frequency domain parameters were presented within different milling strategies and spindle speeds of micro milling. Principal composition analysis method was introduced considering that the machining condition parameters are various and their trends are significantly different. Time domain and frequency domain parameters were replaced by principal composition, then the relationship between energy and deviation in time domain, power spectrum frequency band and energy distribution in frequency domain were established quantificationally. The analysis results show that the characteristic of vibration signal in micro milling can be described within very limited parameters, which leads to the decrease of dimension of raw experimental data. As a result, the computational result of principal composition is very useful for the optimum selection of micro milling parameters such as milling strategy and spindle speed.
| Original language | English |
|---|---|
| Pages (from-to) | 269-274 |
| Number of pages | 6 |
| Journal | Nanotechnology and Precision Engineering |
| Volume | 8 |
| Issue number | 3 |
| Publication status | Published - May 2010 |
Keywords
- Frequency domain parameter
- Micro milling
- Principal composition analysis
- Time domain parameter
- Vibration signal