4.7 Article

Monitoring the tool wear, surface roughness and chip formation occurrences using multiple sensors in turning

Journal

JOURNAL OF MANUFACTURING SYSTEMS
Volume 33, Issue 4, Pages 476-487

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.jmsy.2014.04.005

Keywords

Acoustic emission; Vibration; Fast Fourier Transform (FFT); Tool wear; Surface roughness

Funding

  1. University of Malaya [UM.C/HIR/MOHE/ENG/28 (D000028-16001)]
  2. UMRG [RG028/09AET]

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Tool wear, chip formation and surface roughness of worlcpiece under different cutting conditions have been investigated in machining using acoustic emission (AE) and vibration signature in turning. The investigation has shown that the AE and vibration components can effectively respond to the different occurrences in turning including tool wear and surface roughness. The AE has shown a very significant response to the tool wear progression whereas the resultant vibration (V) represented the surface roughness in turning. The vibration components V-x, V-y and V-z described the chip formation type and are found to have the most significant response to the change of feed, depth of cut and cutting speed respectively. The amplitude of vibration components, V-x, V-y and V-z increased with the increase of feed rate, depth of cut and cutting speed respectively. Even though the frequency of different signal components fluctuated at the different stages of tool wear and at different cutting conditions, the frequency of vibration components was always within a band of 98-40 kHz, and the AE has varied between 51 kHz and 620 kHz. (C) 2014 The Society of Manufacturing Engineers. Published by Elsevier Ltd. All rights reserved.

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