Investigation on universal tool wear measurement technique using image-based cross-correlation analysis

Fong, K.M. and Wang, X. and Kamaruddin, S. and Ismadi, M.-Z. (2021) Investigation on universal tool wear measurement technique using image-based cross-correlation analysis. Measurement: Journal of the International Measurement Confederation, 169 .

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Early detection of tool defects enables proactive prevention of disruption, thus increasing productivity, maintaining quality and agility that brings significant competitive value to the organization. Hence, an effective tool wear monitoring system is vital for intelligent machining process. With the aim to develop an on-machine universal offline monitoring system, a novel quantitative image-based tool wear measurement system based on cross correlation analysis, is proposed to measure tool wear directly from the machining workbench. The sensitivity and accuracy of the proposed technique were further improved through cross-covariance analysis of original and worn tool images. Analyses on various wear conditions of drill bit, end mill, taper tap and carbide insert demonstrated the high effectiveness of the developed measurement system, reflected in the cross-correlation graphs pattern with wear measurement at a microscale down to 100 µm. The cross-correlation based measurement enables optimization of the machining productivity through just-in-time tool change through effective monitoring technique. © 2020 Elsevier Ltd

Item Type:Article
Impact Factor:cited By 4
Uncontrolled Keywords:Carbide cutting tools; Carbides; Correlation methods; Image analysis; Image enhancement; Machining; Monitoring; Productivity; Wear of materials, Cross correlations; Cross-correlation analysis; Intelligent machining; Machining productivity; Measurement system; Monitoring techniques; Off-line monitoring; Quantitative images, Cutting tools
ID Code:23734
Deposited By: Ms Sharifah Fahimah Saiyed Yeop
Deposited On:19 Aug 2021 09:40
Last Modified:19 Aug 2021 09:40

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