Thermal turbulent lubrication analysis of rough surface journal bearing with journal misalignment

Zhu, Shaoyu; Sun, Jun; Li, Biao; Zhu, Guangcan

doi:10.1016/j.triboint.2019.106109

Cited by 56 publications

(32 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In this context, the inclusion of uncertainties in geometric parameters or operating conditions in the design process of journal bearings is an important design issue. It has been almost two centuries 7,13 that the study of hydrodynamic journal bearings started; however, a few works [14][15][16][17][18][19][20][21] are available in the literature wherein uncertainty of stochastic inputs is considered. Mourelatos 14 conducted a probabilistic analysis for the bearing of an internal combustion engine considering bearing clearance and oil viscosity as stochastic variables.…”

Section: Introductionmentioning

confidence: 99%

Machine learning-based performance analysis of two-axial-groove hydrodynamic journal bearings

Roy

Dey

2021

Proceedings of the Institution of Mechanical Engineers, Part J:

View full text Add to dashboard Cite

The precise prediction of a rotor against instability is needed for avoiding the degradation or failure of the system’s performance due to the parametric variabilities of a bearing system. In general, the design of the journal bearing is framed based on the deterministic theoretical analysis. To map the precise prediction of hydrodynamic performance, it is needed to include the uncertain effect of input parameters on the output behavior of the journal bearing. This paper presents the uncertain hydrodynamic analysis of a two-axial-groove journal bearing including randomness in bearing oil viscosity and supply pressure. To simulate the uncertainty in the input parameters, the Monte Carlo simulation is carried out. A support vector machine is employed as a metamodel to increase the computational efficiency. Both individual and compound effects of uncertainties in the input parameters are studied to quantify their effect on the steady-state and dynamic characteristics of the bearing.

show abstract

Section: Introductionmentioning

confidence: 99%

Machine learning-based performance analysis of two-axial-groove hydrodynamic journal bearings

Roy

Dey

2021

Proceedings of the Institution of Mechanical Engineers, Part J:

View full text Add to dashboard Cite

show abstract

“…The results indicate that misalignment affects the lubrication characteristics more clearly when there is a low-speed condition, higher eccentricities, and angle of inclination. Zhu et al [24] considered the lubrication conditions of rough surface bearings with misalignment. Research shows that roughness increases the effect of misalignment.…”

Section: Introductionmentioning

confidence: 99%

A Numerical Model for the Analysis of the Bearings of a Diesel Engine Subjected to Conditions of Wear and Misalignment

2021

View full text Add to dashboard Cite

In the present work, a numerical model is developed to investigate the influence of wear and misalignment on the bearings of a stationary diesel engine. The model implemented considers the effects of surface wear on the bearing, cavitation effects, and surface roughness. For the numerical analysis, changes in the surface roughness of , , and are defined, and changes in the bearing load of 50%, 75%, and 100%. The results demonstrated that increasing the surface roughness intensifies the bearing wear, which represents 18% and 140% of the bearing clearance for the roughness of and , respectively. Additionally, the surface roughness causes a considerable increase in the bearing wear rate. The results described a maximum wear rate of . In general, increasing the bearing load by 25% doubles the hydrodynamic pressure conditions increases friction force by 33%, and reduces lubrication film thickness by 12%. The analysis of the angle of deflection, and , shows that the moment and the degree of misalignment tend to increase significantly with the increase in the magnitude of the angle . Negative angles of deflection, , produce a greater increase in the degree of misalignment and the moment. This implies a greater chance of contact with the bearing surface. In conclusion, the proposed methodology serves as a reliable tool to simultaneously evaluate key parameters on the tribological behavior of bearings that further extend their endurance and minimize wear damage.

show abstract

“…In addition, turbulent flow regime can also occur when mechanical seals or bearings are lubricated with water. [8][9][10][11][12] Rouillon and Bruneti ere 8 conducted experiments to investigated the behavior and performance of a spiral groove mechanical face seal, and the turbulent flow was observed. Zhu et al 10,11 studied the variations for turbulent lubrication performance of journal bearing.…”

Section: Introductionmentioning

confidence: 99%

“…[8][9][10][11][12] Rouillon and Bruneti ere 8 conducted experiments to investigated the behavior and performance of a spiral groove mechanical face seal, and the turbulent flow was observed. Zhu et al 10,11 studied the variations for turbulent lubrication performance of journal bearing. Lin et al 12 analyzed the static characteristics of the water-lubricated spiral groove thrust bearing and pointed out that the loadcarrying capacity and friction torque increase due to turbulence.…”

Section: Introductionmentioning

confidence: 99%

Quantitative analysis method for laminar-turbulence transition process of mechanical seal by a catastrophic model

Wang

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part C:

View full text Add to dashboard Cite

Fluid flow regime has an important influence on the lubrication performance of mechanical seal. A novel method is proposed to analyze the flow regime transition quantitatively based on a cusp catastrophic model with dimensionless analysis. Furthermore, from this method, a turbulence transition factor is derived strictly to describe the turbulent transition process of mechanical seal, which is verified by the published results. Then this factor is applied to hydrodynamic lubrication mechanical seal to analyze the influence of flow regime on sealing performance. The results indicate that the performance parameters of mechanical seal are greatly influenced by the transition of fluid flow regime, and the stability of mechanical seal decreases in the transition to turbulent flow. The novel method of flow regime transition analysis provides a new insight into the turbulence model.

show abstract

Thermal turbulent lubrication analysis of rough surface journal bearing with journal misalignment

Cited by 56 publications

References 39 publications

Machine learning-based performance analysis of two-axial-groove hydrodynamic journal bearings

Machine learning-based performance analysis of two-axial-groove hydrodynamic journal bearings

A Numerical Model for the Analysis of the Bearings of a Diesel Engine Subjected to Conditions of Wear and Misalignment

Quantitative analysis method for laminar-turbulence transition process of mechanical seal by a catastrophic model

Contact Info

Product

Resources

About