Tool Failure Detection in CFRP/Ti6Al4V hybrid stacks drilling using Discrete Wavelet Transform

The study presents a procedure for detecting tool failure in drilling of CFRP/Ti6Al4V aeronautical structural components. To accurately detect tool breakage, a method based on the Daubechies 2 Discrete Wavelet Transform (DWT) is proposed to analyze the spindle power consumption signals in the time-f...

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Bibliographic Details
Published inProcedia CIRP Vol. 126; pp. 406 - 411
Main Authors Domínguez-Monferrer, C., Guerra-Sancho, A., Caggiano, A., Nele, L., Miguélez, M.H., Cantero, J.L.
Format Journal Article
LanguageEnglish
Published Elsevier B.V 2024
Subjects
Discrete Wavelet Transform: CFRP/Ti6Al4V Drilling
Real-Time Monitoring
Tool Failure
Discrete Wavelet Transform: CFRP/Ti6Al4V Drilling
Real-Time Monitoring
Tool Failure
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Summary:The study presents a procedure for detecting tool failure in drilling of CFRP/Ti6Al4V aeronautical structural components. To accurately detect tool breakage, a method based on the Daubechies 2 Discrete Wavelet Transform (DWT) is proposed to analyze the spindle power consumption signals in the time-frequency domain. The signals are collected from the automatic drilling machine of the industrial system. At each level of decomposition, statistical measures are calculated to extract signal features that are then used as inputs to a classifier algorithm to identify signal patterns or anomalies. The Recall and Precision scores of 1 indicate the effectiveness of the proposed method.
ISSN:2212-8271
2212-8271
DOI:10.1016/j.procir.2024.08.387