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Tri-axial Time-frequency Analysis for Tool Failures Detection in Deep Twist Drilling Process

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

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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
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