Roughness of Milling Process
- Citation Author(s):
-
Haw-Ching Yang
(National Kaohsiung University of Science and Technology)
- Submitted by:
- Haw-Ching Yang
- Last updated:
- DOI:
- 10.21227/rx49-xs81
- Data Format:
1527 views
Abstract
This dataset is used to develop an algorithm for evaluating machining quality. When machining a workpiece in a milling process, vibration signals can be recorded by a 3-axis accelerometer, which is attached on the spindle of a CNC milling machine. To evaluate machining quality, the vibration signals can be segmented and extracted the corresponding features, in the time, frequency, and time-frequency domains. After serving with the features, a model can be developed to estimate the machining quality, such as the roughness of a workpiece. The sensing data collected from several tools are provided and recorded in csv format to validate a developed model.
Instructions:
Domain: milling process
Signal source: accelerometer (ITRI)
Sampling rate: 2048 Hz
Target: quality estimation
Conditions:
- Spindle Speed (rpm): 3000
- Feed Rate (mm/min): 800
- Workpiece: FDAC
- Tool Diameter (mm): 6
- No. of Flutes: 4
No. of file: 1
File format: csv
Description of fields in each file
- Sample_No: sampling no, time interval 1 ms
- Rawdata_X: vibration signals of axis X.
- Rawdata_Y: vibration signals of axis Y.
- Rawdata_Z: vibration signals of axis Z.
