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Published in: The International Journal of Advanced Manufacturing Technology 9-10/2021

21-08-2021 | ORIGINAL ARTICLE

Tool breakage monitoring based on the feature fusion of spindle acceleration signal

Authors: Tianhang Pan, Jun Zhang, Lei Yang, Wanhua Zhao, Huijie Zhang, Bingheng Lu

Published in: The International Journal of Advanced Manufacturing Technology | Issue 9-10/2021

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Abstract

Tool breakage is a prominent concern during the rough machining process, which is essential to be monitored online to prevent this phenomenon and maintain the surface quality. In this study, a tool breakage monitoring method is proposed based on the mechanism model and machining data using the acceleration signal. This method takes care of the whole process with the transition from a fresh tool to its full breakage. The mechanism of the tool breakage is obtained by this method, which is then implemented into a single synthesis parameter based on the frequency domain feature for the analysis of tool condition, and the data of fused features are statistically processed to carry out the breakage monitoring. The parameter \( 3\overline{\sigma} \) (three times the mean of standard deviation) is taken as the threshold value to determine the breakage condition in real time. The experimental results are in good agreement with the theoretical model, which proves the efficiency and simplicity of online tool breakage monitoring based on the proposed method.

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Literature
13.
go back to reference Elgargni MA, AI-Habaibeh A (2015) Analytical and comparative study of using a CNC machine spindle motor power and infrared technology for the design of a cutting tool condition monitoring system. In: IEEE 13th International Conference on Industrial Informatics. IEEE. https://doi.org/10.1109/INDIN.2015.7281836 Elgargni MA, AI-Habaibeh A (2015) Analytical and comparative study of using a CNC machine spindle motor power and infrared technology for the design of a cutting tool condition monitoring system. In: IEEE 13th International Conference on Industrial Informatics. IEEE. https://​doi.​org/​10.​1109/​INDIN.​2015.​7281836
Metadata
Title
Tool breakage monitoring based on the feature fusion of spindle acceleration signal
Authors
Tianhang Pan
Jun Zhang
Lei Yang
Wanhua Zhao
Huijie Zhang
Bingheng Lu
Publication date
21-08-2021
Publisher
Springer London
Published in
The International Journal of Advanced Manufacturing Technology / Issue 9-10/2021
Print ISSN: 0268-3768
Electronic ISSN: 1433-3015
DOI
https://doi.org/10.1007/s00170-021-07705-z

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