Numerical Investigation on Churning Loss Torque and Oil Distribution of Reducer Based on Lattice Boltzmann Method

Gong, Ruzhi; Gong, Qihuang; Che, Huajun; Zhang, Zhigang

doi:10.1080/10402004.2021.1958276

Cited by 5 publications

(2 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Liu et al [4][5][6] used different CFD methods (finite volume method and smoothed particle hydrodynamics) to explore the oil distributions and churning losses of gears partly immersed in the oil bath, and analyzed their advantages and disadvantages. Recently, Gong et al [7] exploited a mesh-free method (lattice Boltzmann method) to determine the churning loss torque and oil distribution of an electric vehicle reducer, compared well with previously published experimental findings. As for the complex spiral bevel gears, Hu et al [8,9] and Jiang et al [10] quantitatively analyzed the influence of rotating speed, oil guide device, and dynamic attitudes on the churning losses of spiral bevel gears in the intermediate or tail gearbox of a helicopter using the CFD method.…”

Section: Introductionmentioning

confidence: 80%

Performance of a New Aeronautic Oil-Guiding Splash Lubrication System

Dai

Chen

Yang³

et al. 2022

Lubricants

View full text Add to dashboard Cite

Among ever-increasing demands for low power consumption, low weight, and compact reducer systems, an oil-guiding splash lubrication method integrating the oil-guiding cylinder and pipes is suggested to be more suitable for light helicopters, instead of conventional splash or oil jet lubrication. Aiming at improving the lubrication and cooling performance of this special lubrication method, this paper introduces an oil-guiding channel to increase oil quantity reaching the driving gear, bearings, and spline. Firstly, the lubrication and cooling effect of the oil-guiding channel in the main gearbox is investigated at various speeds and oil depths by leveraging with a computational fluid dynamics (CFD) technique. Then, a specialized test bench is set up and utilized for experiments to verify the CFD study. These results show that the numerical results are very satisfactory with the data of experimentation, and the maximum value of relative errors is no more than 15%. What is more, the oil flow rate passing through the monitoring plane with the oil-guiding channel is much greater than that without the channel by about three orders of magnitude. It also suggests that the oil-guiding channel could dramatically increase the lubricating oil in the meshing gear pair, and significantly improve the lubrication and cooling effect.

show abstract

Section: Introductionmentioning

confidence: 80%

Performance of a New Aeronautic Oil-Guiding Splash Lubrication System

Dai

Chen

Yang³

et al. 2022

Lubricants

View full text Add to dashboard Cite

show abstract

“…Numerical investigations mainly concern the oil distributions inside the gearboxes and no-load gear power losses. For now, at least, meshless method CFD methods (moving particle simulation, 4,27,28 smoothed particle hydrodynamics, [29][30][31] and lattice Boltzmann method [32][33][34] ) gain relevance in qualitatively describing the fluid's behaviors without tedious grid generation. Besides this point, the no-load drag torque can be further precisely predicted within the mesh-based finite volume method (FVM).…”

Section: Introductionmentioning

confidence: 99%

Splash lubrication for an orthogonal face gear using numerical investigation integrating image processing

Dai,

Yang,

Zhang

et al. 2024

Proceedings of the Institution of Mechanical Engineers, Part J:

View full text Add to dashboard Cite

With practical physical immersion depth as their joint, the relations between the oil distribution characteristics and the associated no-load power losses for splash-lubricated orthogonal face gears are explored and quantified in this paper. Firstly, a theoretical analytical model is proposed to estimate the churning losses of an isolated face gear considering all the preceding parameters, along with a numerical model of a face gear stirring oil developed based on the sliding mesh strategy. Then the accuracy and correctness of the computational fluid dynamics method are verified with experiments in terms of oil flow behavior and no-load losses. Finally, the physical immersion depth is determined by leveraging the image processing technique and substituted into the theoretical model replacing the static depth with an improvement of prediction accuracy. Last but not least, this practical immersion depth acts as a link to facilitate the communication between the oil distributions and the no-load power losses within the gearboxes.

show abstract