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

• Main Authors: M. H. S., Harun, M. F., Ghazali, A. R., Yusoff
• Format: Article
• Language: English
• Published: Elsevier 2016
• Subjects: TJ Mechanical engineering and machinery
• 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
• Institution: Universiti Malaysia Pahang Al-Sultan Abdullah

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.