Numerical DPM Model for Two-Phase Flow in Aero-Engine Bearing Chamber

Xu, Rang Shu; Wang, Juan Juan; Xu, Wei; Liu, Li Bo

doi:10.4028/www.scientific.net/amr.201-203.2267

Cited by 5 publications

(3 citation statements)

References 5 publications

(8 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this equation, u is the velocity of the fluid, up is the velocity of the abrasive particles, ρ is the density of the fluid, ρp is the density of the abrasive particles, and g is the gravitational acceleration. F is an additional force, containing the Basset force, Saffman lifting force, Magnus lifting force et al [33].…”

Section: Establishment Of Dpm Modelmentioning

confidence: 99%

Modeling of solid–liquid coupling and material removal in robotic wet polishing

Pan

Chen

Jin

et al. 2023

Int J Adv Manuf Technol

View full text Add to dashboard Cite

In this paper, the flow characteristics of the polishing fluid between the polishing pad and the workpiece are studied for the robotic wet polishing process, and the distribution of the polishing fluid radial velocity Ur and the liquid film thickness z at different rotating radii r are revealed. The two-dimensional computational domain consisting of the polishing pad surface, the workpiece wall and the polishing fluid is established. The particle-liquid two-phase flow simulation is carried out in Fluent, and the influence of different rotation rate ω of the polishing pad and different robot swing speeds v2 on the change and distribution of polishing fluid flow rate and temperature are elaborated. The position distribution of the abrasive particles in the wet polishing process and the velocity distribution of particles in the x and y directions impacting on the workpiece surface are simulated and analyzed for polishing fluids with different average abrasive diameters dp. The three-dimensional calculation domain for wet polishing is established; the workpiece surface erosion is simulated in Fluent; the material removal rate MRR and standard deviation of material removal σ on the workpiece surface are calculated considering different combinations of polishing fluid properties Ci and polishing kinematics Pi. Under the same process parameters, the material removal rate test value MRRT and the standard deviation of material removal test value σT are compared with the simulated values, respectively. The results show that under the combination of 64 groups of physical parameters C1-C64 of the polishing fluid, the error between the test value MRRT, σT and the simulationvalue MRR, σ is within 5%. With 64 sets of polishing kinematics parameters P1-P64, the average error between the test value MRRT and the simulated value MRR is 4.19%. However, when the polishing pad rotation rate ω is high, there is an inefficient polishing area in the smaller radius from the polishing pad rotation center, which results in a lower MRRT in some tests than that in simulation, with an maximum error of 8.1%. The average error between the test value σT and the simulation value σ is 3.77%. When the pressure P of the polishing pad is high, the large particles embedded in the polishing pad surface follow its rotation, causing deep scratches on the workpiece surface, which results in a larger σT in some tests, with an maximum error of 7.8%. In conclusion, the material removal principle and the influence of different process parameters in the robotic wet polishing process are revealed in this paper.through modeling and simulation of the particle-liquid two-phase flow, giving an accurate estimation of the material removal rate of the robotic wet polishing process.

show abstract

Section: Establishment Of Dpm Modelmentioning

confidence: 99%

Modeling of solid–liquid coupling and material removal in robotic wet polishing

Pan

Chen

Jin

et al. 2023

Int J Adv Manuf Technol

View full text Add to dashboard Cite

show abstract

“…The oil droplets shed from the bearing and associated cage are tracked through the bearing chamber using the Lagrangian particle tracking method taking aerodynamic drag as the dominant force on the droplets until they hit the outer chamber housing. The deformation of oil droplet is taken into account using equation (14). The interaction of the droplet deformation with its motion is reflected by the aerodynamic drag coefficient given in equation ( 17) and frontal area.…”

Section: Oil Droplet Motionmentioning

confidence: 99%

“…The model was validated successfully by comparison with the available experimental data. Xu et al 13,14 made two attempts to use separately volume of fluid (VOF) approach and discrete particle model (DPM) to simulate the two-phase air/oil flow in a simplified aeroengine bearing chamber. In their investigations, oil droplet/air mixture is assumed to be a continuous fluid in VOF approach, and the influences of mass and momentum transfers of deposition droplets on oil film flow are neglected in DPM method.…”

Section: Introductionmentioning

confidence: 99%

Effect of oil droplet deformation on its deposited characteristics in an aeroengine bearing chamber

Chen

Sun

et al. 2012

Proceedings of the Institution of Mechanical Engineers, Part G:

View full text Add to dashboard Cite

The efficient designs of lubrication and heat transfer in an aeroengine bearing chamber require a better understanding of the complex air/oil two-phase flow in the chamber, which contains oil droplet deformation and motion, as well as droplet/wall interactions including wall impingement and deposition behavior. A modified droplet deformation model is proposed to describe the effect of deformation on the motion, and then a splash critical criterion also is established by means of energy conservation to estimate the impingement conditions of droplets. Using the above knowledge, in combination with a secondary droplet characteristic model predicting the outcome of droplet impact with wall, the droplet deformation, motion, and the associated transfer of mass and momentum are calculated in an aeroengine bearing chamber, and the effects of air mass flow rates and shaft speeds are subsequently discussed. This article may contribute to providing initial conditions to study further film flow behavior on the chamber housing.

show abstract

Numerical Study on the Ejector Structure of Deaerator

Tian

Liu

2019

2019 IEEE 10th International Conference on Mechanical and Aerospace Engineering (ICMAE)

View full text Add to dashboard Cite

Numerical DPM Model for Two-Phase Flow in Aero-Engine Bearing Chamber

Cited by 5 publications

References 5 publications

Modeling of solid–liquid coupling and material removal in robotic wet polishing

Modeling of solid–liquid coupling and material removal in robotic wet polishing

Effect of oil droplet deformation on its deposited characteristics in an aeroengine bearing chamber

Numerical Study on the Ejector Structure of Deaerator

Contact Info

Product

Resources

About