Monitoring of distributed defects on HSM spindle bearings

Castelbajac, Côme de; Ritou, Mathieu; Laporte, Sylvain; Furet, Benoît

doi:10.1016/j.apacoust.2013.07.008

Cited by 34 publications

(21 citation statements)

References 17 publications

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“…Concerning the failures of Dam0, Dam1 and Dam2, several ball bearings were systematically damaged (at front or rear bearings) and presented a white strip on the contact zone of raceways, which is common for aluminum HSM spindles in aeronautics [12]. Bearing lubrication was defective for Dam0.…”

Section: Failure Modes Of Hsm Spindlementioning

confidence: 99%

“…Although the impact of, notably, spindle speed or preload on the Frequency Response Function (FRF) were studied [9][10][11]; the impact of spindle condition on dynamics has been very rarely examined up to now. HSM spindles are very efficient but also present a high risk of spindle failure [12]. Due to high cost of curative maintenance, spindles are used as long as possible, before their repairs.…”

Section: Introductionmentioning

confidence: 99%

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Influence of spindle condition on the dynamic behavior

et al. 2018

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The impact of spindle condition on machining performances is arduous to perceive since very long periods must be considered. This paper proposes an experimental approach based on accurate characterizations of the dynamic behavior for different spindle conditions (repaired or damaged). The Frequency Response Functions of the spindle were obtained for different spindle conditions and speeds, through an electromagnetic excitation device. The main failure modes of HSM spindle were then identified and modeled. Their effects on FRF were simulated and general conclusions were obtained concerning their impacts on spindle dynamics. Lastly, cutting tests reveal the impact of spindle condition on stability lobe diagrams.

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Section: Failure Modes Of Hsm Spindlementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Influence of spindle condition on the dynamic behavior

et al. 2018

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“…A monitoring and data collection system, called EmmaTools, has been developed for machining [15]. Four accelerometers are integrated into the spindle of the machine-tool (in each radial direction, at the front and rear bearings).…”

Section: Level 0: Real-time Signalsmentioning

confidence: 99%

Knowledge-based multi-level aggregation for decision aid in the machining industry

et al. 2019

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In the context of Industry 4.0, data management is a key point for decision aid approaches. Large amounts of manufacturing digital data are collected on the shop floor. Their analysis can then require a large amount of computing power. The Big Data issue can be solved by aggregation, generating smart and meaningful data. This paper presents a new knowledge-based multi-level aggregation strategy to support decision making. Manufacturing knowledge is used at each level to design the monitoring criteria or aggregation operators. The proposed approach has been implemented as a demonstrator and successfully applied to a real machining database from the aeronautic industry. Decision Making; Machining; Knowledge based system

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“…There are five basic motions that are used to describe the dynamics of bearing elements, with each movement having a corresponding frequency [21,22]. These five frequencies are denoted as the shaft rotational frequency (F S ), the fundamental cage frequency (F C ), the ball pass inner raceway frequency (F BPI ), the ball pass outer raceway frequency (F BPO ), and the ball rotational frequency (F B ).…”

Section: Overview On Bearing Vibration Frequency Features Of Bearing mentioning

confidence: 99%

Life Prediction of a Spindle CNC Machining Centre Using Natural Frequency Method of Vibration

Butdee¹,

Kullawong²

2015

Ind Eng Manage

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In the performance of a spindle CNC system, its bearings play an important role. Many problems arising in a spindle CNC operation are linked to bearing faults. In this project, the accuracy of the instruments and devices used to monitor and control the motor system is highly dependent on the dynamic performance of its bearings. Thus, fault diagnosis of a motor system is inseparably related to the diagnosis of the bearing assembly. In this paper, bearing vibration frequency features are discussed for spindle CNC of bearing fault diagnosis. This paper then presents an approach for life prediction of spindle CNC rolling bearing using nonlinear regression analysis. Vibration data are used to assist in the design for controlling and rolling bearing fault diagnosis strategies. Then our results obtained indicate that controlling and rolling bearing fault diagnosis can be effective agents in life prediction and diagnosis.

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Monitoring of distributed defects on HSM spindle bearings

Cited by 34 publications

References 17 publications

Influence of spindle condition on the dynamic behavior

Influence of spindle condition on the dynamic behavior

Knowledge-based multi-level aggregation for decision aid in the machining industry

Life Prediction of a Spindle CNC Machining Centre Using Natural Frequency Method of Vibration

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