Tri-axial Time-frequency Analysis for Tool Failures Detection in Deep Twist Drilling Process
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 analyze...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | en |
| Published: |
Elsevier
2016
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/6820/1/fkm-2016-razlan-Tri-axial%20time-frequency%20analysis.pdf http://umpir.ump.edu.my/id/eprint/6820/ http://dx.doi.org/10.1016/j.procir.2016.03.128 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1831522051559522304 |
|---|---|
| author | M. H. S., Harun M. F., Ghazali A. R., Yusoff |
| author_facet | M. H. S., Harun M. F., Ghazali A. R., Yusoff |
| author_sort | M. H. S., Harun |
| building | UMPSA Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Pahang Al-Sultan Abdullah |
| content_source | UMPSA Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | 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. |
| format | Article |
| id | my.ump.umpir.6820 |
| institution | Universiti Malaysia Pahang |
| language | en |
| publishDate | 2016 |
| publisher | Elsevier |
| record_format | eprints |
| spelling | my.ump.umpir.68202018-01-12T01:19:16Z http://umpir.ump.edu.my/id/eprint/6820/ Tri-axial Time-frequency Analysis for Tool Failures Detection in Deep Twist Drilling Process M. H. S., Harun M. F., Ghazali A. R., Yusoff TJ Mechanical engineering and machinery 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. Elsevier 2016 Article PeerReviewed application/pdf en cc_by_nc_nd http://umpir.ump.edu.my/id/eprint/6820/1/fkm-2016-razlan-Tri-axial%20time-frequency%20analysis.pdf 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) http://dx.doi.org/10.1016/j.procir.2016.03.128 DOI: 10.1016/j.procir.2016.03.128 |
| spellingShingle | TJ Mechanical engineering and machinery M. H. S., Harun M. F., Ghazali A. R., Yusoff Tri-axial Time-frequency Analysis for Tool Failures Detection in Deep Twist Drilling Process |
| title | Tri-axial Time-frequency Analysis for Tool Failures Detection in Deep Twist Drilling Process |
| title_full | Tri-axial Time-frequency Analysis for Tool Failures Detection in Deep Twist Drilling Process |
| title_fullStr | Tri-axial Time-frequency Analysis for Tool Failures Detection in Deep Twist Drilling Process |
| title_full_unstemmed | Tri-axial Time-frequency Analysis for Tool Failures Detection in Deep Twist Drilling Process |
| title_short | Tri-axial Time-frequency Analysis for Tool Failures Detection in Deep Twist Drilling Process |
| title_sort | tri-axial time-frequency analysis for tool failures detection in deep twist drilling process |
| topic | TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/6820/1/fkm-2016-razlan-Tri-axial%20time-frequency%20analysis.pdf http://umpir.ump.edu.my/id/eprint/6820/ http://dx.doi.org/10.1016/j.procir.2016.03.128 |
| url_provider | http://umpir.ump.edu.my/ |