A new method for determining lubrication regimes of piston ring-cylinder liner tribosystem

Li, Tongyang; Zhu, Xiao‐Qing; Tang, Huaguo; Zhang, Baofeng; Wang, Lujie; Yu, Yuan; Qiao, Zhuhui; Ma, Xuefei

doi:10.1016/j.triboint.2022.108162

Cited by 11 publications

(8 citation statements)

References 47 publications

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“…The simulation process is controlled by the constant pressure and temperature and canonical ensemble. In the NVE ensemble, Langevin temperature control method is adopted (Li et al, 2023). By calculating 1 ns, the heat flux, temperature gradient and thermal conductivity of the graphene nano-lubricating oil model were calculated according to equations ( 14), ( 15) and ( 16), respectively.…”

Section: Figure 2 Graphene Nano-lubricant Modelmentioning

confidence: 99%

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Analysis of the impact of graphene nano-lubricating oil on thermal performance of hydrostatic bearing

Chen,

Zhao,

Sun

et al. 2024

ILT

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Purpose To enhance the performance of hydrostatic bearings, graphene serves as a lubricant additive. Using the high thermal conductivity of graphene, the purpose of this study is to focus on the impact of graphene nano-lubricating oil hydrostatic bearing temperature rise at various speeds and eccentricities. Design/methodology/approach The thermal conductivity of graphene nano-lubricating oil was calculated by molecular dynamics method and based on the viscosity–temperature effect, the coupled heat transfer finite element model of hydrostatic bearing was established; temperature rise of pure lubricating oil and graphene nano-lubricating oil hydrostatic bearing were analysed at different speed and eccentricity based on computational fluid dynamics method. Findings With the increase of speed and eccentricity, the temperature rise of 0.2% graphene nano-lubricating oil bearings is lower than that of pure lubricating oil bearings; in addition with the increase of graphene mass fraction, the temperature rise of graphene nano-lubricating oil bearings is always higher than that of pure lubricating oil bearings, and the higher the speed, the more obvious the phenomenon. Originality/value The effects of graphene as a lubricant additive on the thermal conductivity of nano-lubricating oil and the variation of the temperature rise of graphene nano-lubricating oil bearings compared to pure lubricating oil bearings were analysed by combining micro and macro methods. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-12-2023-0388

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Section: Figure 2 Graphene Nano-lubricant Modelmentioning

confidence: 99%

Section: Molecular Dynamics Simulation To Calculate Thermal Conductivitymentioning

confidence: 99%

Analysis of the impact of graphene nano-lubricating oil on thermal performance of hydrostatic bearing

Chen,

Zhao,

Sun

et al. 2024

ILT

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“…1. In particular, the friction pair oil film at the gear ring and the housing play the roles of lubrication [2][3][4][5][6] , sealing 7,8 , and bearing [9][10] . Different mechanical distributions and leakage flows determine the lubrication performance and volumetric efficiency of the pump; however, the dynamic behavior of the gear ring is very complicated.…”

Section: Introductionmentioning

confidence: 99%

Hydrostatic bearing groove multi-objective optimization of the gear ring housing interface in a straight-line conjugate internal meshing gear pump

Zhang,

Yan,

Liu

et al. 2024

Preprint

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The lubrication performance of a straight-line conjugate internal meshing gear pump is poor under the low-speed, high-pressure operating conditions of the volumetric servo speed control system, and it is difficult to establish a full fluid lubricating oil film between the gear ring and the housing. This leads to significant wear and severe heating between the gear ring and the housing. The lubrication performance of the interface moving pair of the electro-hydraulic actuator pump gear ring housing can be improved by designing a reasonable lubrication bearing structure for the gear ring housing. In this study, a multi-field coupling multi-objective optimization model was established to improve lubrication performance and volumetric efficiency. The whole model consists of the dynamic model of the gear ring components, the fluid lubrication model of the gear ring housing interface, the oil film formation and sealing model considering the influence of temperature, and the multi-objective optimization model. The comprehensive performance of the straight-line conjugate internal meshing gear pump was verified experimentally using a test bench. The results show that the lubrication performance is improved, the mechanical loss is reduced by 31.52%, and the volumetric efficiency is increased by 4.91%.

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“…Both are derived from the material ratio curve and can be converted between each other. The Rk group is commonly used in surface analysis (Li et al, 2019(Li et al, , 2023, whereas the Rq group is more convenient for surface modeling.…”

Section: Introductionmentioning

confidence: 99%

“…Both are derived from the material ratio curve and can be converted between each other. The Rk group is commonly used in surface analysis (Li et al , 2019, 2023), whereas the Rq group is more convenient for surface modeling. Investigating the contact and lubrication properties of ring and liner is crucial for improving the efficiency and reliability of internal combustion engines.…”

Section: Introductionmentioning

confidence: 99%

Study on the influence of non-Gaussian honing surface on contact and flow characteristics

Tang,

Huang,

Meng

2023

ILT

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Purpose The contact and lubrication performances, which were previously estimated assuming a Gaussian surface, are insufficient due to the non-Gaussian surface characteristics of the honing liner. The purpose of this study is to analyze the liner honing surface and examine its effects on the contact and flow performance. Design/methodology/approach The fast Fourier transform (FFT) method was used to generate the liner honing texture. Subsequently, an elastoplastic contact model based on boundary element theory was constructed and simulated for the honing surface. The results were compared with those obtained using a Gaussian surface. In addition, flow factors of the honing surfaces were also compared. Findings The contact pressure and flow factors demonstrate significant disparities when dealing with non-Gaussian surfaces. In the deterministic model, the pressure exhibits considerably diminished magnitudes and a more evenly distribution. Moreover, when the gap between surfaces is narrow, the discrepancy in flow factor across different directions on the real honing surface becomes more prominent compared with the Gaussian surface. Originality/value The model incorporates the influence of the non-Gaussian honing surface, thereby enabling more accurate prediction. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-07-2023-0198/

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A new method for determining lubrication regimes of piston ring-cylinder liner tribosystem

Cited by 11 publications

References 47 publications

Analysis of the impact of graphene nano-lubricating oil on thermal performance of hydrostatic bearing

Analysis of the impact of graphene nano-lubricating oil on thermal performance of hydrostatic bearing

Hydrostatic bearing groove multi-objective optimization of the gear ring housing interface in a straight-line conjugate internal meshing gear pump

Study on the influence of non-Gaussian honing surface on contact and flow characteristics

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