Effect of raceway geometry parameters on the carrying capability and the service life of a four-point-contact slewing bearing

Gao, Xueshan; Huang, Xiaodiao; Wang, Hua; Hong, Rongjing; Chen, Jie

doi:10.1007/s12206-010-0709-5

Cited by 25 publications

(14 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this way, the relationship between the spatial indicator and the temporal indicator in the slewing life prediction model can be fully studied. The calculation formula of ST-gate is as follows: (6) Cell: The improved cell can better integrate important historical information and existing information, so the current cell state stores the comprehensive information of each gate and the result of cell is the candidate value. In the ST-LSTM network layer, spatial-temporal information st t will participate in the current cell state and 1-st t will be added to the cell state at the previous moment.…”

Section: B St-lstmmentioning

confidence: 99%

Remaining Useful Life Assessment of Slewing Bearing Based on Spatial-Temporal Sequence

et al. 2020

Self Cite

View full text Add to dashboard Cite

Slewing bearing is one of key components in the large size machinery and its remaining useful life (RUL) prediction is required to schedule a future action to avoid catastrophic events, extend life cycles, etc. The vibration-based method has been widely used in the RUL prediction. However, the spurious fluctuation usually exists in the vibration signal when the machines are operated under complex conditions. In order to enhance performance of RUL prediction model, two kinds of new health indicators are constructed by the spatial-temporal (ST) information firstly. One is the temporal indicators, which are derived by using the smoothing mean values of positive and negative vibration signal. Another is the spatial indicator, which is defined by fusing the multi-features extracted from the balance position information of vibration signal. During this process, a new data processing method proposed in this paper improves the quality of the vibration data and increases the number of samples. And then, the RUL prediction model is presented by combing the ST indicators and long-short-term memory network (LSTM) to establish the relationship between the ST indicators and the RUL of slewing bearings and overcome the sparsity of data. Moreover, in order to accelerate the adjustment of ST-LSTM model, a fine-tuning ST-LSTM model is further proposed by incorporating the generative adversarial networks (GAN) into the ST-LSTM. Experimental results verify that the proposed RUL prediction model can well estimate the RUL of slewing bearings and its performance is superior to some existing methods.

show abstract

Section: B St-lstmmentioning

confidence: 99%

Remaining Useful Life Assessment of Slewing Bearing Based on Spatial-Temporal Sequence

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…Gao et al 2 established the nonlinear equations of a single-row four-point contact ball slewing bearing, the sensitivity of some design parameters of the ball, and the raceways which influence the maximum ball load and the slewing bearing service life was discussed. Chen et al 3 developed a mechanical model of a double-row four-point contact ball slewing bearing and studied the effects of the geometric parameters on the carrying capacity of the slewing bearing.…”

Section: Introductionmentioning

confidence: 99%

Effects of design parameters on carrying capacity of a double-row tapered roller slewing bearing used in wind turbine

2016

Advances in Mechanical Engineering

View full text Add to dashboard Cite

Mechanical model with detailed design parameters of a rotor slewing bearing with the structure type of double-row tapered roller for supporting the rotor of the wind turbine was presented. The internal geometrical relationships of the rotor slewing bearing were established in the Cartesian coordinate system. The elastic contact deformations between each tapered roller and the raceways were expressed through the geometrical transformation. The mechanical model was established using the equilibrium relations in the rotor slewing bearing. The safety factor and the fatigue life which represents, respectively, the ability of resisting the rolling contact plastic deformation failure and the rolling contact fatigue failure of the rotor slewing bearing were obtained based on the solution of the mechanical model. Effects of the detailed design parameters such as axial clearance, contact angle, and roller semi-cone angle on the carrying capacity of the rotor slewing bearing were analyzed. The results show that right amount of small negative axial clearance, increase in contact angle, and decrease in roller semi-cone angle are advantageous for enhancing the carrying capacity of the rotor slewing bearing. This provides the basis for the reasonable value selection of the design parameters of the doublerow tapered roller slewing bearing for supporting the rotor of the wind turbine.

show abstract

“…Gao et al. 12 developed an analytical model to optimise slewing bearing design considering the influence of geometry parameters like cross-section clearance, ratio of curvatures, rolling element diameter and initial contact angle. Aguirrebeitia et al.…”

Section: Introductionmentioning

confidence: 99%

Effect of manufacturing errors on load distribution in large diameter slewing bearings of fast breeder reactor rotatable plugs

Aithal

Prasad

Shunmugam

et al. 2015

Proceedings of the Institution of Mechanical Engineers, Part C:

View full text Add to dashboard Cite

Fuel and other subassemblies in fast breeder reactor are handled through a combination of small rotatable plug, large rotatable plug and transfer arm. Rotation of the plugs is facilitated through large slewing bearings. These bearings are subjected to heavy loads and moments. Manufacturing errors on the rolling elements and races influence the load sharing among the elements. As a result, higher load acting on a rolling element causes excessive local deformation and unacceptable indentation. The higher load can also cause excessive sub-surface shear stress and fatigue failure of rolling races. Too stringent tolerances demand sophisticated machines, whereas liberal tolerances mean compromise on the performance and life of the bearing. There are no established methods for design of slewing bearings that include the influence of manufacturing errors. Hence, an attempt has been made to find the influence of manufacturing errors on load distribution among the rolling elements using finite element method. It is observed that size error on the ball and waviness error (waviness spacing and height) on the raceway are the two influencing factors on load distribution. To study the influence of waviness error on the raceway, three sectors of bearing simulating waviness spacing of 10.8°, 18° and 36° with different waviness (peak-to-valley) height of 30 µm, 50 µm and 75 µm are analysed. It is observed that waviness height has larger influence on the load distribution among bearing balls when compared to waviness spacing.

show abstract

Effect of raceway geometry parameters on the carrying capability and the service life of a four-point-contact slewing bearing

Cited by 25 publications

References 9 publications

Remaining Useful Life Assessment of Slewing Bearing Based on Spatial-Temporal Sequence

Remaining Useful Life Assessment of Slewing Bearing Based on Spatial-Temporal Sequence

Effects of design parameters on carrying capacity of a double-row tapered roller slewing bearing used in wind turbine

Effect of manufacturing errors on load distribution in large diameter slewing bearings of fast breeder reactor rotatable plugs

Contact Info

Product

Resources

About