M. H. S., Harun and M. F., Ghazali and A. R., Yusoff (2016) Tri-axial Time-frequency Analysis for Tool Failures Detection in Deep Twist Drilling Process. Procedia CIRP, 46. pp. 508-511. ISSN 2212-8271. (Published)
|
PDF
fkm-2016-razlan-Tri-axial time-frequency analysis.pdf Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (288kB) | Preview |
Abstract
Premature tool failure in deep drilling reduces product quality. By analyzing the deep drilling process signals through time and frequency domains in tri-axial vibrations, the early conditions before tool failure can be detected. From the experimental data, vibration time domain signals were analyzed by short-time Fourier transform to detect the tool wear mechanism. Results showed that tool wear accelerated before failure as increasing feed rate and cutting speed were recognized in the y- and z-axes in time–frequency analysis.
| Item Type: | Article |
|---|---|
| Additional Information: | 7th HPC 2016 – CIRP Conference on High Performance Cutting |
| Uncontrolled Keywords: | Deep hole drilling; Vibration; In-Process Measurement; Tool Condition Monitoring; Signal Processing Techniques |
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Faculty/Division: | Faculty of Manufacturing Engineering Faculty of Mechanical Engineering |
| Depositing User: | Ms. Hazima Anuar |
| Date Deposited: | 17 Jun 2016 01:49 |
| Last Modified: | 12 Jan 2018 01:19 |
| URI: | http://umpir.ump.edu.my/id/eprint/6820 |
| Download Statistic: | View Download Statistics |
Actions (login required)
 |
View Item |