Roughness of Milling Process

Citation Author(s):
Haw-Ching
Yang
National Kaohsiung University of Science and Technology
Submitted by:
Haw-Ching Yang
Last updated:
Fri, 11/06/2020 - 08:46
DOI:
10.21227/rx49-xs81
Data Format:
License:
1139 Views
Citations:
2
Categories:
Keywords:
0
0 ratings - Please login to submit your rating.

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.  

Comments

.

Submitted by flwrking b r on Tue, 01/19/2021 - 13:48

Dataset Files

LOGIN TO ACCESS DATASET FILES
Open Access dataset files are accessible to all logged in  users. Don't have a login?  Create a free IEEE account.  IEEE Membership is not required.