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...

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Main Authors: M. H. S., Harun, M. F., Ghazali, A. R., Yusoff
Format: Article
Language:English
Published: Elsevier 2016
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/6820/1/fkm-2016-razlan-Tri-axial%20time-frequency%20analysis.pdf
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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
collection UMP
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.
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spelling UMPir68202018-01-12T01:19:16Z 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
work_keys_str_mv AT mhsharun triaxialtimefrequencyanalysisfortoolfailuresdetectionindeeptwistdrillingprocess
AT mfghazali triaxialtimefrequencyanalysisfortoolfailuresdetectionindeeptwistdrillingprocess
AT aryusoff triaxialtimefrequencyanalysisfortoolfailuresdetectionindeeptwistdrillingprocess