Rotor-Bearing Dynamics Design Technology. Part Iv. Ball Bearing Design Data

Lewis, Paul; Malanoski, S. B.

doi:10.21236/ad0466393

Cited by 4 publications

(7 citation statements)

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“…While damping in rolling-element bearings is known to be low, precise values are not readily available. A value of 2 kNs/m was used in the analyses; this is close to the estimates reported by Lewis and Malanoski (1965).…”

Section: Resultssupporting

confidence: 73%

Transient Vibration Prediction for Rotors on Ball Bearings Using Load‐Dependent Nonlinear Bearing Stiffness

Fleming

Poplawski

2004

International Journal of Rotating Machinery

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Section: Resultssupporting

confidence: 73%

Transient Vibration Prediction for Rotors on Ball Bearings Using Load‐Dependent Nonlinear Bearing Stiffness

Fleming

Poplawski

2004

International Journal of Rotating Machinery

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“…It is known that ball bearing have very low inherent damping. This damping would be effective only for small vibration amplitude [12]. Krämer [13] has provided as estimation of the bearing damping and [14] also the bearing coefficient of ball bearing is well within the range of 33.75 Ns/m to 337.5 Ns/m.…”

Section: Elastic Deformation Between Race and Ball Givesmentioning

confidence: 91%

“…The contact stiffness coefficient K, can be given by the stiffness coefficient between the ball and each race [16], ki and k0 in series as follows: (12) where ki and k0 can be determined by elastic modulus and Poisson's ratio and curvature sum of the contact points as from Harris [15]. The geometrical properties of the system is in Table 1, K = 7.055 × 10 9 (N/mm 1.5 ).…”

Section: (7)mentioning

confidence: 99%

Dynamic Model to Predict Effect of Race Waviness on Vibrations Associated with Deep-Groove Ball Bearing

Hwang¹,

Nguyen²

2014

Journal of the Korean Society of Tribologists and Lubrication E

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This paper presents a numerical model for investigating the structural dynamics response of a rigid rotor supported on deep-groove ball bearings. The numerical model was used to investigate the influence of race waviness on the dynamic characteristics of a rotor ball bearing system, which is very important from a design viewpoint. The forth-order Runge-Kutta numerical integration technique was applied to determine the time displacement response, Poincarè map, and frequency spectra. The analysis demonstrated that the model can be used as a tool for predicting the nonlinear dynamic behavior of a rotor ball bearing system under different operating conditions. The results of this study may help further understanding of the nonlinear dynamics of a rotor bearing system.

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“…Zeillinger and Köttritsch [9] noted that additional damping usually occurs between the bearing's outer race and the housing. It is known that ball bearings have very low inherent damping, which is effective only for small vibration amplitudes [10]. Krämer [11] provided an estimation of the bearing damping, and Gupta et al [12] indicated that the bearing coefficient of the ball bearing is within the range of 33.75-337.5 Ns/m.…”

Section: Problem Formulationmentioning

confidence: 99%

“…Because the inner race is moving at the speed of the shaft and the ball center at the speed of the cage, the contact angle (i) is given by (10) The mathematical model takes into account the sources of nonlinearities in the rotor bearing system. After obtaining the inertia, ball bearing force, damping force, and constant vertical force acting on the inner race, the dynamic equations of the system are established as follows:…”

Section: Problem Formulationmentioning

confidence: 99%

Dynamic Analysis of Effect of Number of Balls on Rotor-Bearing System

Hwang¹,

Nguyen²

2013

Journal of the Korean Society of Tribologists and Lubrication E

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This paper presents a numerical model for investigating the structural dynamic response of an unbalanced rotor system supported on deep groove ball bearings. The aim of this work is to develop a numerical model for investigating the effect of the number of balls on the dynamic characteristics of the rotor ball bearing system. The fourth-order Runge-Kutta numerical integration technique has been applied. The results are presented in the form of time displacement responses and frequency spectra. The analysis demonstrates that the model can be used as a tool for predicting the nonlinear dynamic behavior of the rotor ball bearing system under different operating conditions. Moreover, the study may contribute to a further understanding of the nonlinear dynamics of rotor bearing systems.

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Rotor-Bearing Dynamics Design Technology. Part Iv. Ball Bearing Design Data

Cited by 4 publications

References 0 publications

Transient Vibration Prediction for Rotors on Ball Bearings Using Load‐Dependent Nonlinear Bearing Stiffness

Transient Vibration Prediction for Rotors on Ball Bearings Using Load‐Dependent Nonlinear Bearing Stiffness

Dynamic Model to Predict Effect of Race Waviness on Vibrations Associated with Deep-Groove Ball Bearing

Dynamic Analysis of Effect of Number of Balls on Rotor-Bearing System

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