Emitted Sound Analysis for Tool Flank Wear Monitoring using Hilbert Huang Transform


Emerson Raja, J. and Venkata seshaiah, C. and Lim, W. S. (2012) Emitted Sound Analysis for Tool Flank Wear Monitoring using Hilbert Huang Transform. International Journal of Computer and Electrical Engineering, 4 (2). pp. 110-114. ISSN 1793-8163

[img] Text
Restricted to Repository staff only

Download (951kB)


In this paper, results of investigation on the relationship between emitted tool sound signal and tool flank wear during turning process are reported. A series of experiments were conducted in a turning machine with carbide tool insert for machining Aluminum work piece. The tool emitted sound signal with a fresh tool, a slightly worn tool with 0.2 mm flank wear and a severely worn tool with 0.4 mm flank wear were captured separately using ICP microphone. The captured sound signals were analyzed using Hilbert Huang Transform (HHT) and the instantaneous frequencies and amplitudes of the sound signal components were obtained. The RMS values of the amplitudes of the Intrinsic Mode Functions (IMF) corresponding to the three different tool sound signals were analyzed. Hilbert spectrum and marginal spectrum of selected IMFs of fresh, slightly worn and severely worn tool sound signals were obtained and analyzed. Based on the analysis, it was found that the amplitude of the IMF6, IMF7 and IMF8 components of the emitted tool sound signal increase steadily with the increasing tool flank wear. The results confirm that Hilbert-Huang Transform based emitted tool sound signal analysis can be confidently applied to tool flank wear monitoring

Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 19 Nov 2013 07:29
Last Modified: 19 Nov 2013 07:29
URII: http://shdl.mmu.edu.my/id/eprint/4432


Downloads per month over past year

View ItemEdit (login required)