Monitoring of distributed defects on HSM spindle bearings |
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Affiliation: | 1. IRCCyN (UMR CNRS 6597 – Institut de Recherche en Communications et Cybernétique de Nantes), Université de Nantes, 1 quai de Tourville, 44035 Nantes, France;2. MITIS SAS, 12 rue Johannes Gutenberg, 44340 Bouguenais, France;1. Precision Metrology Laboratory, Department of Mechanical Engineering, Sant Longowal Institute of Engineering and Technology, Longowal 148 106, India;2. Department of Electrical and Instrumentation Engineering, Sant Longowal Institute of Engineering and Technology, Longowal 148 106, India;3. School of Mechanical Engineering, Lovely Professional University, Phagwara 144 411, India;1. Department of Mechanical and Aerospace Engineering - Mechatronics Laboratory, Politecnico di Torino Corso Duca degli Abruzzi 24, I-10129 Torino, Italy;2. Dynamics and Mechatronics Laboratory Technion, Israel Institute of Technology, Israel;1. LaMCoS, Contacts and Structural Mechanics Laboratory, Université de Lyon, CNRS, INSA-Lyon, UMR 5259, 20 rue des Sciences, F-69621 Villeurbanne, France;2. Maia-Eolis, Expertise Mecanique, Tour de Lille, Boulevard de Turin, Lille 59000, France |
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Abstract: | The High Speed Machining (HSM) spindle is one of the most critical bearing applications, because it requires both high speed and high power in order to obtain high quality and productivity. Therefore, bearing condition monitoring is important. Firstly, this paper presents a real and typical spindle life example. The vibration signals and their evolution are discussed in relation to the bearing failures that have been observed after the spindle disassembly. Cleavage notably occurred on the ceramic balls of the hybrid ball bearing. Damaged balls and their chippings then damaged uniformly the rings raceways on the whole circumference. As a consequence, a noise component increases in vibration signal due to the worsening of the ball-race contact during the rolling process. In a second section, the noise component produced by bearing condition is studied and characterized. The frequency spectrum distribution is briefly discussed in relation to a signal model. It is demonstrated by Pearson’s test that the distribution follows a Gaussian law all along the spindle life. Besides, it evolves with bearing condition. Thus, a new criterion, called SBN (Spindle Bearing Noise), is proposed for the monitoring of the uniformly distributed defect. A specific monitoring device was also developed in order to collect real industrial data during the spindle lifetime. Vibration signals are used in order to evaluate the criterion relevancy by comparison with the current best practices. The analyses through three required conditions for bearing condition monitoring and based on three spindles signals, have shown some good results. |
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Keywords: | High speed spindle Bearing condition monitoring Distributed defects Noise |
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