Vibration based preload estimation in machine tool spindles

Śpiewak, S.; Nickel, T.

doi:10.1016/s0890-6955(00)00081-x

Cited by 34 publications

(26 citation statements)

References 33 publications

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“…Using statistics compiled by one manufacturer of spindles, this study assembled seven models to represent the following fault categories: mass unbalance, shaft misalignment, inappropriate grease content [30], inappropriate preload [31] and errors in the parallel alignment of the bearing spacer ring.…”

Section: Types Of Artificial Defectmentioning

confidence: 99%

High-Speed Spindle Fault Diagnosis with the Empirical Mode Decomposition and Multiscale Entropy Method

Hsieh

Lin

Young

2015

Entropy

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Abstract:The root mean square (RMS) value of a vibration signal is an important indicator used to represent the amplitude of vibrations in evaluating the quality of highspeed spindles. However, RMS is unable to detect a number of common fault characteristics that occur prior to bearing failure. Extending the operational life and quality of spindles requires reliable fault diagnosis techniques for the analysis of vibration signals from three axes. This study used empirical mode decomposition to decompose signals into intrinsic mode functions containing a zero-crossing rate and energy to represent the characteristics of rotating elements. The MSE curve was then used to identify a number of characteristic defects. The purpose of this research was to obtain vibration signals along three axes with the aim of extending the operational life of devices included in the product line of an actual spindle manufacturing company.

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Section: Types Of Artificial Defectmentioning

confidence: 99%

High-Speed Spindle Fault Diagnosis with the Empirical Mode Decomposition and Multiscale Entropy Method

Hsieh

Lin

Young

2015

Entropy

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“…S Jiang and H Mao 5 calculated the bearing life with different amounts of preload at different spindle speeds and developed a method for the optimization of preload at low spindle speed based on bearing fatigue life. SA Spiewak and T Nickel 6 proposed a complete method for obtaining spindle stiffness measurements with an exciter and acceleration sensors and estimated the spindle preload based on these measurements. T Xu et al 7 analyzed optimum preload under ballskidding conditions and achieved a limited bearing temperature rise when the spindle speed was lower than 10,000 r/min.…”

Section: Introductionmentioning

confidence: 99%

Bearing preload optimization for machine tool spindle by the influencing multiple parameters on the bearing performance

Dong

Zhou

Liu

2017

Advances in Mechanical Engineering

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The bearing preload plays an important role on the bearing performance, particularly the important characteristics of the bearing include bearing temperature increases, the bearing fatigue life, and ball skidding. Generally, the bearing preload contains the initial bearing preload and the thermal-induced bearing preload. Moreover, the bearing performance is closely related to machine tool accuracy. Obtaining an optimal bearing preload can improve the spindle work accuracy of machine tools. A method for determining optimal bearing preload over a wide range of speeds is given in this article. The method is based on the aforementioned factors that affect bearing performance, synthetically considering the initial preload and thermal-induced bearing preload, and it is verified both experimentally and with simulations. The results show that there is a minimum bearing preload value for avoiding the bearing ball skidding; the bearing temperature rise more than 30°C can be hardly achieved in the normal speed range, the fatigue life decides the biggest bearing preload; and the method is applicable to machine tool spindle usage.

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“…An experimental modal analysis to estimate the modal parameters of a shaft-bearing system using a single-DOF system was utilized [17], with the experiment being performed in the axial and transverse directions. The transmission of vibrations through self-aligning, (spherical) rolling-element bearings, where some of the terms from the stiffness matrix were validated experimentally, was studied in [8], while in [18,19] experimental results were also presented. The authors loaded the bearings axially, with three different preloads, but did not observe a relation between the bearing preloads and the vibration amplitudes.…”

Section: Introductionmentioning

confidence: 99%

The influence of bearing stiffness on the vibration properties of statically overdetermined gearboxes

Razpotnik

Bischof

Boltežar

2015

Journal of Sound and Vibration

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Vibration based preload estimation in machine tool spindles

Cited by 34 publications

References 33 publications

High-Speed Spindle Fault Diagnosis with the Empirical Mode Decomposition and Multiscale Entropy Method

High-Speed Spindle Fault Diagnosis with the Empirical Mode Decomposition and Multiscale Entropy Method

Bearing preload optimization for machine tool spindle by the influencing multiple parameters on the bearing performance

The influence of bearing stiffness on the vibration properties of statically overdetermined gearboxes

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