Film Shape Research of Slipper Bearing in Axial Piston Pump Based on Genetic Algorithms

Lü, Hong; Zhao, Peng; Shen, Chu Jing

doi:10.4028/www.scientific.net/amr.301-303.1533

Cited by 4 publications

(4 citation statements)

References 1 publication

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“…In the ANN model, however, two layers were used. The neuron numbers in the hidden layers (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20) and the activation functions in (3)-(5) were tried, in all combinations. The model with the lowest MSE (2.6558e-05) had 16 and 13 neurons in the first and second hidden layers, respectively, and incorporated the tansig activation function.…”

Section: Resultsmentioning

confidence: 99%

“…They correctly modelled the static and dynamic features of the slipper using the developed ANN model. Further, Liu et al [18] calculated the form of the oil film through analysis of the power balance, by applying the niche GA and treating the calculation as an optimisation problem. Hence, they observed that the rotational speed has a significant effect on the film form.…”

Section: Introductionmentioning

confidence: 99%

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Prediction of Slipper Pressure Distribution and Leakage Behaviour in Axial Piston Pumps Using ANN and MGGP

Özmen

Sınanoğlu

Batbat

et al. 2019

Mathematical Problems in Engineering

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The pressure distribution (PD) and leakage between the slipper and swash plate in an axial piston pump (APP) have a considerable impact on the pump efficiency, affecting aspects such as the load bearing and wear performance of the slipper. Herein, multigene genetic programming (MGGP) and artificial neural network (ANN) machine learning methods (MLMs) are incorporated into a novel approach towards predictive modelling of the PD and leakage on the slipper, which can function hydrostatically/hydrodynamically. Experimentally measured data are used as input for the MGGP and ANN models. The validity of the MGGP and ANN models is verified using test data excluded from the analyses. In addition, the model results are compared with analytic equations (AEs). Both MLMs are found to exhibit strong agreement with the measured data. In particular, the ANN model exhibits superior prediction performance to the MGGP model and AEs.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Prediction of Slipper Pressure Distribution and Leakage Behaviour in Axial Piston Pumps Using ANN and MGGP

Özmen

Sınanoğlu

Batbat

et al. 2019

Mathematical Problems in Engineering

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“…Professors Yang Huayong and Zhou Hua from Zhejiang University mainly studied the key technique breakthrough of friction pairs of axial piston pumps used in seawater and oil [1][2][3]. Professor Yuan Shihua from Beijing Institute of Technology chiefly researched the pressure field and the leakage field of oil film of friction pairs of axial piston pumps [4][5][6]. Several literatures on structure, materials, temperature, and lubrication of the friction pairs have been published during the past few decades [7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Power Loss of Slipper within Axial Piston Pump

Wang

Jiang

Sun

2015

AMM

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The pair between slipper and swash-plate is an important friction pair in the axial piston pump. Due to quick relative velocity, alternating load, numerous slippers, and high contact pressure between the friction surfaces, the wear-out and fatigue failure constantly occurs, which is one of the key factors affecting reliability of the piston pump. It is of fundamental significance to investigate the mechanism of slipper power loss and to find an appropriate method to improve the lubrication of the slipper. Here, the model of friction power loss between slipper and swash-plate is established, and the friction power loss between slipper and swash-plate is solved and comparatively analysed. Finally, the correctness of theoretical analysis and simulation results are verified by experiments.

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“…In the work of M. Borghi, E. Specchia and B. Zardin [8] a numerical procedure is used to solve the Reynolds equation, written here with respect to the slipper-swash plate gap, whose height is considered variable in a two dimensional field and with time. In the work of Hong Liu, Zeng Xiong Peng, Chu Jing Shen [9] the calculation of film shape is simplified as a single objective optimization problem with two decision variables. A genetic algorithm is used to investigate about the film shape of the entire slipper bearing In the work of Fazil Canbulut, Erdem Koç, Cem Sinanoglu [10], the slipper geometry and working conditions affected on the slipper performance have been analyzed experimentally.…”

Section: Introductionmentioning

confidence: 99%

A Computational Approach on the Load Carrying Capacity of a Slipper Bearing

Choudhuri¹

2012

IJET

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Abstract-The slipper bearing is an integrated part of an axial piston pump. Proper lubrication is important for successful operation of the slipper bearing. This type of bearing is a type of hydrostatic thrust bearing. Many works have been done in the recent past on this type of bearing. This current work is based on the load carrying capacity of this type of bearing. The leakage losses and the slipper drag are two important factors on which this type of bearing is designed. The load carrying capacity has a direct impact on those two factors. There are many input factors on which the load carrying capacity is varied. These input factors are thus playing an important role on the smooth operation of such bearing. Such input variable are slipper tilt, applied pressure on the slipper, slipper speed, slipper non flatness angle or slipper land size. On the variation of these input variables, the nature of load carrying capacity has been carried out in this work. It has been observed that with the increase of pressure, speed, area of land size and conical angle of the land, the load carrying capacity increases.

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Film Shape Research of Slipper Bearing in Axial Piston Pump Based on Genetic Algorithms

Cited by 4 publications

References 1 publication

Prediction of Slipper Pressure Distribution and Leakage Behaviour in Axial Piston Pumps Using ANN and MGGP

Prediction of Slipper Pressure Distribution and Leakage Behaviour in Axial Piston Pumps Using ANN and MGGP

Power Loss of Slipper within Axial Piston Pump

A Computational Approach on the Load Carrying Capacity of a Slipper Bearing

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