Condition based maintenance of machine tools is critical in order to improve maintenance efficiency, keep high production rate and minimize the environmental impact. Vibration monitoring is a very popular method adopted when it comes to assessing the health conditions of sub-systems such as feed axis, gearbox or single components as the tool itself. Most papers of recent literature are mainly focused on traditional machining process like milling, turning and drilling, whereas to the authors’ best knowledge little attention seems to be addressed to broaching process. Aiming to contribute to fill this gap, the present work illustrates the experimental campaign that was conducted on a broaching machine both in its healthy condition and in a few failure states. The experimental results of some different analysis techniques that were investigated confirm the possibility of distinguishing between healthy and faulty conditions of the tool; yet, further investigations are required in order to improve accuracy and robustness of the procedure.

Vibration monitoring for the detection of tool failure in broaching machines

Troncossi MARCO
;
Rosa SIMONE;Rivola ALESSANDRO;Martini ALBERTO
2022

Abstract

Condition based maintenance of machine tools is critical in order to improve maintenance efficiency, keep high production rate and minimize the environmental impact. Vibration monitoring is a very popular method adopted when it comes to assessing the health conditions of sub-systems such as feed axis, gearbox or single components as the tool itself. Most papers of recent literature are mainly focused on traditional machining process like milling, turning and drilling, whereas to the authors’ best knowledge little attention seems to be addressed to broaching process. Aiming to contribute to fill this gap, the present work illustrates the experimental campaign that was conducted on a broaching machine both in its healthy condition and in a few failure states. The experimental results of some different analysis techniques that were investigated confirm the possibility of distinguishing between healthy and faulty conditions of the tool; yet, further investigations are required in order to improve accuracy and robustness of the procedure.
Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics
510
521
Troncossi, MARCO, Rosa SIMONE, Rivola, ALESSANDRO, Martini, ALBERTO
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/907820
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