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The International Journal of Advanced Manufacturing Technology

Erschienen in:

13.04.2021 | ORIGINAL ARTICLE

Extraction of tool wear indicators in peck-drilling of Inconel 718

verfasst von: Amaia Jiménez, Miguel Arizmendi, José Manuel Sánchez

Erschienen in: The International Journal of Advanced Manufacturing Technology | Ausgabe 9-10/2021

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Abstract

This paper presents an experimental method for predicting tool wear in drilling Inconel 718 superalloy. The method combines analysis of drilling force signals and tool wear progress. Force characteristics were studied both in time and frequency domains (power spectrum and wavelet decomposition) in order to find best correlation with tool wear progress. These analyses show that the mean value of the thrust force component, the high frequency component of the force, the frequencies that arise during drilling, and the evolution of the wavelet decomposition details are all sensitive to tool wear progress. Therefore, these characteristics can be employed as indicators for drill failure prediction. Among all those indicators, the mean value of the thrust force and the standard deviation of high frequency components of that force have shown the greatest sensitivity to drill wear.

Vorheriger Artikel Effects of cooling channel layout on the cooling performance of rapid injection mold

Nächster Artikel Simulation analysis of cutting process for Inconel718 nickel-based superalloy

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Titel: Extraction of tool wear indicators in peck-drilling of Inconel 718
verfasst von: Amaia Jiménez
Miguel Arizmendi
José Manuel Sánchez
Publikationsdatum: 13.04.2021
Verlag: Springer London
Erschienen in: The International Journal of Advanced Manufacturing Technology / Ausgabe 9-10/2021
Print ISSN: 0268-3768
Elektronische ISSN: 1433-3015
DOI: https://doi.org/10.1007/s00170-021-07058-7

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