Abstract
In order to follow the wear of the cutting tools, the monitoring of the machining processes plays a very important role in the minimization of the durations of breakdowns and the prevention of the appearance of certain undesired phenomena such as chattering, excessive wear or breakage of the cutting tool. In this context, the strategy adopted in this study is to use a methodology that combines numerical and experimental to track the wear and damage of cutting tools. The method is based on the analysis of the vibratory signatures measured in order to predict the lifetime of the tool during machining before its final degradation. As a first step, the work consists in the acquisition of data resulting from the cutting process as a function of the parameters of the cutting regime. Secondly, the work is dedicated to the processing of the measured signals using a new spectral indicator called the spectral center of gravity. The SCG spectral indicator has shown its power of predicting the transition from the phase of normal wear to that corresponding to the catastrophic wear of the cutting tool. The results obtained allowed to study the phenomena of vibration and then to predict their optimal lifetime.
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Babouri, M.K., Ouelaa, N., Djamaa, M.C., Djebala, A., Boucherit, S., Hamzaoui, N. (2019). Prediction of Optimal Lifetime of the Tool’s Wear in Turning Operation of AISI D3 Steel Based on the a New Spectral Indicator SCG. In: Boukharouba, T., Chaari, F., Ben Amar, M., Azouaoui, K., Ouali, N., Haddar, M. (eds) Computational Methods and Experimental Testing In Mechanical Engineering. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-11827-3_9
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DOI: https://doi.org/10.1007/978-3-030-11827-3_9
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