Emitted Sound Amplitude Analysis Using Hilbert Huang Transformation for Cutting Tool Flank Wear Prediction

Joseph, Emerson Raja and Kiong, Loo Chu and Soong, Lim Way and Purushothaman, S. (2012) Emitted Sound Amplitude Analysis Using Hilbert Huang Transformation for Cutting Tool Flank Wear Prediction. In: Global Trends in Computing and Communication Systems. Communications in Computer and Information Science, 269 (269). Springer Berlin Heidelberg, pp. 743-752. ISBN 978-3-642-29218-7

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Official URL: http://link.springer.com/chapter/10.1007%2F978-3-6...

Abstract

In this paper, the relationship between emitted sound amplitude and tool flank wear was investigated during turning operation by using Hilbert Huang Transform (HHT). For this purpose, a series of experiments using carbide insert cutting tools and stainless steel work pieces were conducted in a conventional turning machine. The emitted sounds from fresh, slightly worn and severely worn tools were recorded at the sampling rate of 44100/sec using a highly sensitive directional microphone. Each recorded multi-component sound signal was decomposed into several intrinsic mode functions (IMFs) using Empirical mode decomposition (EMD). The instantaneous frequencies with time and their amplitudes were obtained by applying Hilbert transform on each IMF. From the marginal spectrums produced using selected IMFs it was observed that there was an increase in sound amplitude with increasing tool wears. Hence it can be concluded that cutting tool flank wear prediction is possible using emitted sound by HHT.

Item Type: Book Section
Subjects: T Technology > TJ Mechanical Engineering and Machinery
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 21 Nov 2013 04:03
Last Modified: 21 Nov 2013 04:03
URI: http://shdl.mmu.edu.my/id/eprint/4452

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