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International Journal of Innovation and Applied Studies
ISSN: 2028-9324     CODEN: IJIABO     OCLC Number: 828807274     ZDB-ID: 2703985-7
 
 
Wednesday 04 December 2024

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Extracting indicators for cutting tool wearing detection during turning using vibration analysis


Volume 39, Issue 3, May 2023, Pages 1266–1274

 Extracting indicators for cutting tool wearing detection during turning using vibration analysis

Jean Claude Mukaz Ilunga1 and Moise Ngoyi Kasanji2

1 Institut Supérieur de Techniques Appliquées, Kinshasa, RD Congo
2 Electronics, High Institute of Applied Techniques, Kinshasa, RD Congo

Original language: English

Copyright © 2023 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


The analysis of vibrations generated during conventional turning is one of the reliable means of determining the condition of sensitive components. In this paper, it is clearly presented the necessary steps to extract the indicators in order to be able to detect tool wear during the main three phases of use (running-in, stabilized wear, accelerated wear). It is clearly demonstrated that there is a relationship between the evolution of wear and the measured quantities (vibrations) during machining. To achieve this, we have carried out several measurement campaigns using metal carbide plate tools. Thus, the vibrations generated during the machining operations were recorded along a single axis on the machine tool using a single axial accelerometer positioned on the turret in the vertical direction, perpendicular to the cutting force. The processing of these signals in both the time and frequency domain has proven that vibrations can indeed be used to detect the level of wear.

Author Keywords: Turning, Cutting tool, Tool wear detection, Vibration analysis, Indicators, Accelerometer.


How to Cite this Article


Jean Claude Mukaz Ilunga and Moise Ngoyi Kasanji, “Extracting indicators for cutting tool wearing detection during turning using vibration analysis,” International Journal of Innovation and Applied Studies, vol. 39, no. 3, pp. 1266–1274, May 2023.