A simulation investigation of lubricating characteristics for a cylindrical roller bearing of a high-power gearbox

The nonlinear contact forces and deformations between the balls and raceways can cause very complex vibration behaviours of rotor systems with the waviness in the support bearings. However, almost all previous works that used sinusoidal waviness took the Hertzian solution as the calculation method, which is not an accurate method based on Johnson’s formulation since the changes in the curvature at the sinusoidal contact surfaces. To overcome this issue, a new dynamic model of a rigid rotor system with the waviness in the support bearings is proposed. To provide a more accurate nonlinear contact force formulation for the sinusoidal waviness profile, the model used the Johnson’s extended Hertzian contact model to replace Hertzian contact model. This model can consider the time-varying curvature between the mating sinusoidal surfaces. The lubricating condition in the support bearing is also considered. A comparative study on the effects of Hertzian contact model, simplified Hertzian contact model, and Johnson's extended Hertzian contact model on the nonlinear vibrations of the rotor system is developed. The effects of the waviness amplitude and orders on the vibrations of the rotor system are discussed. The comparative simulations show that the proposed model can provide a more reasonable approach for predicting the vibrations of the rigid rotor system. Moreover, the simulations give that the nonlinear contact forces in the support bearings can greatly affect the system vibrations.

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“…The used bearing damping is 0.25 − 2.5 × 10 −5 times the linearized bearing stiffness. 40,41 Effect of the outer race waviness on the vibrations…”

Section: Resultsmentioning

confidence: 99%

A vibration model of a rotor system with the sinusoidal waviness by using the non-Hertzian solution

Liu

Pan

2021

Proceedings of the Institution of Mechanical Engineers, Part K:

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“…Load, turbulent oil flow, and heat caused by internal friction decrease the efficiency of gearbox of WT because of which the output power of WT is reduced. Power losses in gearedtransmission can also be ascribed to gear-mesh and bearing-contact frictional effects and the interaction of rolling element bearings and gears with the lubricating medium [46,47]. All these factors result in limiting the output electrical power of WT to be about 5 MW.…”

Section: Datasetmentioning

confidence: 99%

An Efficient Estimation of Wind Turbine Output Power Using Neural Networks

et al. 2022

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Wind energy is a valuable source of electric power as its motion can be converted into mechanical energy, and ultimately electricity. The significant variability of wind speed calls for highly robust estimation methods. In this study, the mechanical power of wind turbines (WTs) is successfully estimated using input variables such as wind speed, angular speed of WT rotor, blade pitch, and power coefficient (Cp). The feed-forward backpropagation neural networks (FFBPNNs) and recurrent neural networks (RNNs) are incorporated to perform the estimations of wind turbine output power. The estimations are performed based on diverse parameters including the number of hidden layers, learning rates, and activation functions. The networks are trained using a scaled conjugate gradient (SCG) algorithm and evaluated in terms of the root mean square error (RMSE) and mean absolute percentage error (MAPE) indices. FFBPNN shows better results in terms of RMSE (0.49%) and MAPE (1.33%) using two and three hidden layers, respectively. The study indicates the significance of optimal selection of input parameters and effects of changing several hidden layers, activation functions, and learning rates to achieve the best performance of FFBPNN and RNN.

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“…1. The main vibration sources are from the motors and power components, such as the motor, gear pump, 21,22 roller bearing [23][24][25][26] and shaft 27 of the main power system. In Fig.…”

Section: Problem Formulationmentioning

confidence: 99%

Vibration Analysis and Isolator Component Design of the Power System in an Autonomous Underwater Glider

Liu¹,

Liu²,

Pan³

et al. 2022

The International Journal of Acoustics and Vibration

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Vibration isolation technology is one of the main methods for controlling the vibration and noise of underwater vehicles. This paper presents a vibration analysis and vibration isolator component design method of the power system in autonomous underwater gliders (AUGs). The dynamic models of the single-layer and double-layers vibration isolation systems of the power system of the AUG are established to analyze the force transfer rate in the system. A reasonable stiffness range of the vibration isolation system is obtained according to the results of the dynamic model. To validate the vibration isolation performances of the presented vibration isolation systems, the finite element (FE) models of single-layer and double-layers vibration isolation systems are established. The vibration responses and vibration isolation performances of the system with and without the rubber isolation systems are compared. Moreover, the effect of stiffness on the vibration isolation performances of the system is discussed. The presented results can provide some guidance for the design method of the vibration isolation system in the power system of AUGs.

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A simulation investigation of lubricating characteristics for a cylindrical roller bearing of a high-power gearbox

Cited by 64 publications

References 24 publications

A vibration model of a rotor system with the sinusoidal waviness by using the non-Hertzian solution

A vibration model of a rotor system with the sinusoidal waviness by using the non-Hertzian solution

An Efficient Estimation of Wind Turbine Output Power Using Neural Networks

Vibration Analysis and Isolator Component Design of the Power System in an Autonomous Underwater Glider

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