Prediction of Optimal Lifetime of the Tool’s Wear in Turning Operation of AISI D3 Steel Based on the a New Spectral Indicator SCG
| Autor: | Nacer Hamzaoui, Septi Boucherit, Mohamed Khemissi Babouri, Abderrazek Djebala, Mohamed Cherif Djamaa, Nouredine Ouelaa |
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| Přispěvatelé: | Hamzaoui, Nacer, Laboratoire de Mécanique & Structures (LMS), Université de Guelma, Lab Mécanique & Structures (LMS), Université du 8 Mai 1945 [Guelma, Algérie], Laboratoire Vibrations Acoustique (LVA), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Vibration
Center of gravity Machining Cutting tool Computer science Process (computing) Mechanical engineering Context (language use) Minification [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing ComputingMilieux_MISCELLANEOUS Power (physics) [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing |
| Zdroj: | Lecture Notes in Mechanical Engineering ISBN: 9783030118266 Lecture Notes in Mechanical Engineering Lecture Notes in Mechanical Engineering, pp.87-100, 2019 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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