Abstract
Milling process is complex process in which the multipoint cutting tool has been used to perform the operation. Therefore, it’s very important to monitor the machining responses during operation like tool wear, forces, vibrations and roughness. The article presents the research methodology using a multi-sensor system that allows monitoring the state of the cutting tool in the milling process. Preliminary analysis of the signals recorded from the accelerometer and the microphone show the differences in the signal values for individual cutting layers for individual samples. Changes in the signal values indicate a change in the state of the cutting tool.
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Acknowledgments
This work was prepared within the project “Innovative measurement technologies supported by digital data processing algorithms for improved processes and products”, contract number PM/SP/0063/2021/1 financed by Ministry of Education and Science (Poland) as a part of the Polish Metrology Programme.
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Antosz, K., Kozłowski, E., Prucnal, S., Sęp, J. (2024). Pre-processing Signal Analysis for Cutting Tool Condition in the Milling Process. In: Burduk, A., Batako, A.D.L., Machado, J., Wyczółkowski, R., Dostatni, E., Rojek, I. (eds) Intelligent Systems in Production Engineering and Maintenance III. ISPEM 2023. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-44282-7_41
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