A novel method for studying fluid-solid interaction problems of the rotor system in air bearings with manufacturing errors

Chen, Peng; Ding, Jianguo; Zhuang, Hui; Chang, Yu

doi:10.1016/j.ymssp.2023.110709

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2024

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Cited by 4 publications

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Improved modeling method of inherently compensated aerostatic thrust bearings considering pressure depression

Zhuang,

Ding,

Chen

et al. 2024

Precision Engineering

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Improved modeling method of inherently compensated aerostatic thrust bearings considering pressure depression

Zhuang,

Ding,

Chen

et al. 2024

Precision Engineering

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Numerical and experimental study on the novel active aerostatic bearings with the controllable throttling effect for obtaining high static stiffness

Li,

Cai,

Zhang

et al. 2024

Mechanical Systems and Signal Processing

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Nonlinear Dynamic Analysis and Forecasting of Symmetric Aerostatic Cavities Bearing Systems

Peng,

Kuo,

Huang

et al. 2024

Int. J. Bifurcation Chaos

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Symmetric Aerostatic Cavities Bearing (SACB) systems have attracted increasing attention in the field of high-precision machinery, particularly rotational mechanisms applied at ultra-high speeds. In an air bearing system, the air bearing serves as the main support, and the load-carrying capacity is not as high as that of oil film bearings. However, the aero-spindle can operate at considerably high rotational speeds with relatively lower heat generated from rotation compared with that of oil film bearings. In addition, the operating environment of air bearings does not easily cause the rotor to deform. Hence, through adequate design, air pressure systems exhibit a certain level of stability. In general, the pressure distribution function of air bearings exhibits strong nonlinearity when there are changes in the rotor mass or rotational speed, or when the bearing system is inadequately designed. These issues may lead to instabilities in the rotor, such as unpredictable nonperiodic movements, rotor collisions, or even chaotic movements under certain parameters. In this study, rotor oscillation was analyzed using the maximum Lyapunov exponent to identify whether chaotic behavior occurred. Machine learning methods were then used to establish models and predict the rotor behavior. Especially, random forest and extreme gradient boosting were combined to develop a new model and confirm whether this model offered higher prediction performance and more accurate results in predicting tendencies with considerable changes compared with other models. The results can be effectively used to predict the SACB system and prevent nonlinear behavior from occurring.

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A novel method for studying fluid-solid interaction problems of the rotor system in air bearings with manufacturing errors

Cited by 4 publications

References 46 publications

Improved modeling method of inherently compensated aerostatic thrust bearings considering pressure depression

Improved modeling method of inherently compensated aerostatic thrust bearings considering pressure depression

Numerical and experimental study on the novel active aerostatic bearings with the controllable throttling effect for obtaining high static stiffness

Nonlinear Dynamic Analysis and Forecasting of Symmetric Aerostatic Cavities Bearing Systems

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