Unbalance-induced whirl of a rotor supported by oil-film bearings

Sghir, Radhouane

doi:10.5802/crmeca.83

Cited by 3 publications

(1 citation statement)

References 32 publications

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“…The whirl motion phenomena of rotating machinery have been observed in industrial applications [1][2][3]. Types of vibration sources cause this unexpected vibration.…”

Section: Introductionmentioning

confidence: 99%

A two-stage deep-learning-based balancing method for rotating machinery

Shun¹,

Han²,

Hou³

2023

Meas. Sci. Technol.

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Purpose - Balancing is essential to all rotating machinery. To make the balancing process convenient and costless, new balancing technologies are needed. In this work, a two-stage deep learning based balancing method is proposed and validated. Design/methodology/approach - The architecture of the method is described. The whole balancing method has two stages. The first stage identifies the unbalance force vector and the second stage further identies the correlation masses and phases from the unbalanced force series. The deep learning based modules can be trained by one-run response data and labeled support force data only. Findings - Both numerical and experimental balancing performances are reasonable and comparative. The performances indicate that the proposed method is validate and robust. Originality - The proposed method combines deep learning technology with rotor dynamics knowledge. The proposed method achieves good performance without weight trail process and provides a competitive approach on rotor balancing technology.

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“…The whirl motion phenomena of rotating machinery have been observed in industrial applications [1][2][3]. Types of vibration sources cause this unexpected vibration.…”

Section: Introductionmentioning

confidence: 99%

A two-stage deep-learning-based balancing method for rotating machinery

Shun¹,

Han²,

Hou³

2023

Meas. Sci. Technol.

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Subcritical behaviour of short cylindrical journal bearings under periodic excitation

et al. 2023

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Rotating machinery supported on journal bearings is affected by forces due to rotating unbalance and pressure gradients in the oil film. The interaction of these forces can evoke nonlinear behaviour, including asynchronous motion and even chaos. This work attempts to characterise the sub-synchronous motion of the rigid rotor supported on cylindrical journal bearings due to the abovementioned interaction. The analysis focuses on the rotor behaviour at the rotor speeds lower than the threshold speed for oil whirl, associated with sub-synchronous vibration of magnitude equaling the bearing clearance. It is shown that the sub-synchronous vibration can occur well before reaching the threshold speed and that the underlying period-doubling bifurcation depends on the amount of the rotating unbalance. The rotor response and stability are analysed using a numerical continuation method employing the infinitely short journal bearing model. Continuation results are further validated by time simulations which utilise the finite difference method to compute the hydrodynamic forces. The validation process employs bifurcation diagrams, Poincaré sections and numerical estimates of the largest Lyapunov exponents.

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