Experimental and numerical dynamic analysis of marine herringbone planetary gearbox supported by journal bearings

Yang, Jie; Zhu, Rupeng; Lee, Heow Pueh; Li, Miaomiao; Yin, Xunmin

doi:10.1016/j.jsv.2022.117426

Cited by 8 publications

(3 citation statements)

References 32 publications

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“…The trajectory of the gear shaft supported by the journal bearings can have significantly larger orbits (depending on the hydrodynamic clearance) and stronger coupled stiffness compared with roller bearings [10]. The findings from [11] and [12] for the case of a marine propulsion gearbox showed that the journal bearings influenced the gear meshing forces. There are only a few publications available regarding the influence on the gear forces of a wind turbine gearbox when roller bearings are replaced with journal bearings.…”

Section: Introductionmentioning

confidence: 99%

The influence of journal bearings on the gearbox dynamics of a 5 MW wind turbine drivetrain

Siddiqui,

Chodvadiya,

Luo

2023

J. Phys.: Conf. Ser.

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In recent years, journal bearings have been replacing roller bearings in wind turbine gearboxes, as they are believed to provide higher reliability compared with roller bearings. However, replacing roller bearings with journal bearings can drastically change the gearbox dynamics. Journal bearings have complex dynamics at different operating speeds, and, as a wind turbine operates at various speeds, it is vital to analyze the gearbox dynamics for the entire speed range. This contribution presents the dynamic response of a wind turbine gearbox when the roller bearings of the high-speed shaft are replaced with journal bearings. This is done by performing a comparative case study using a detailed multibody simulation (MBS) model of a 5 MW reference wind turbine drivetrain. A dynamic model of the journal bearings, developed in Simulink, is dynamically coupled with the 5 MW drivetrain MBS model using co-simulation. The simulation results for the gearbox vibration as well as gear forces are compared with the simulation results of the drivetrain model with roller bearings. The findings from this work will help in clarifying the advantages (or disadvantages) of using journal bearings instead of roller bearings in wind turbine gearboxes.

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Section: Introductionmentioning

confidence: 99%

The influence of journal bearings on the gearbox dynamics of a 5 MW wind turbine drivetrain

Siddiqui,

Chodvadiya,

Luo

2023

J. Phys.: Conf. Ser.

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“…Yuan et al [1] studied the impact of loaded static transmission error on the dynamics of wide-faced geared rotor systems. In their dynamic models, Yang et al [2] and Li et al [3] considered the eccentricity error and explored its impact on the vibrations of the gear systems. In addition to the errors, compliance and nonlinearity can also alter the dynamic behaviors of gear systems.…”

Section: Introductionmentioning

confidence: 99%

A review on dynamics of gear systems with gravity effects

Du,

Yang,

Tong

et al. 2024

Third International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI 2023)

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Gear systems are extensively implemented in industrial applications such as shipping, wind turbine and aerospace. The performance of the transmission equipment will be directly affected by the dynamic characteristics of the gear system. As the demand for high-power and heavy-load gear transmissions continues to rise, gear systems are inclined to exhibit high volume and weight. It is essential to take gravity effects into consideration during the analysis of gear dynamics, because they will make components of gear systems deform, change the tooth contact status and consequently affect the dynamic response of gear systems. In the past few decades, research on the gear systems dynamics with gravity effects has increased dramatically. This paper provides a comprehensive review of published literatures related to the gear dynamics considering gravity effects. The studies focus on three primary themes: the impact of gravity upon the time-domain dynamic response, the impact of gravity upon the frequency-domain dynamic response, and the impact of gravity upon the gap nonlinear response of gear systems. Finally, some conclusions are summarized.

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“…Furthermore, the modal damping ratio serves as an indicator for determining the dynamic response of a structure during the initial design stage, predicting the system's response to external loads such as earthquakes and wind, and allowing for preassessing the usability of the building to be constructed and the safety of the structure under load. SI technology, which provides important safety evaluation indicators, has been actively used in various industrial felds where safety issues are important due to vibrations, such as civil, mechanical, aviation, and shipbuilding industries [21][22][23].…”

Section: Introductionmentioning

confidence: 99%

LSTM‐Based Approach for Stable Identification of Modal Damping Ratio in Building Structures

Yun,

Oh,

Park

et al. 2024

Structural Control and Health Monitoring

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Modal parameters are used as safety assessment indicators for evaluating the structural integrity of buildings in various ways. In particular, the modal damping ratio plays a crucial role in accurately predicting the serviceability and safety of buildings, starting from the initial design stage. However, the identification results of the modal damping ratio can become unstable due to measurement time, initial configuration conditions used in the analysis, and nonstationary responses included in the structural response. To address the instability issue, this study proposes a long short-term memory-based frequency domain decomposition (FDD-LSTM) method. The FDD-LSTM method utilizes the acceleration response of the building as input data and the modal damping ratio obtained from the FDD method as output data, constructing an LSTM network model for the relationship between the acceleration response and modal damping ratio. The FDD-LSTM method exhibited a discrepancy of less than 0.02% compared to the reference value of the modal damping ratio obtained through free vibration response. Furthermore, when applied to data acquired from an actual building, the method demonstrated a variance of approximately 5%. The proposed FDD-LSTM method is validated for stability performance using a three-degree-of-freedom numerical analysis model, a 3-story steel frame structure model, and a 117-story high-rise building. The FDD-LSTM method, trained on a large dataset, enables generalized estimation and addresses instability issues related to modal damping ratio.

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Experimental and numerical dynamic analysis of marine herringbone planetary gearbox supported by journal bearings

Cited by 8 publications

References 32 publications

The influence of journal bearings on the gearbox dynamics of a 5 MW wind turbine drivetrain

The influence of journal bearings on the gearbox dynamics of a 5 MW wind turbine drivetrain

A review on dynamics of gear systems with gravity effects

LSTM‐Based Approach for Stable Identification of Modal Damping Ratio in Building Structures

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