Specifying and Benchmarking a Thin Film Model for Oil Systems Applications in ANSYS Fluent

Wang, C.; Morvan, Hervé; Hibberd, S.; Cliffe, K. A.; Anderson, A.; Jacobs, Adrian

doi:10.1115/gt2012-68984

Cited by 6 publications

(7 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore in order to simulate realistic pool solutions, the formulation requires gravity, vis- cous, surface tension and pressure gradient terms accurately modelled. The findings from this analysis of terms therefore validates previous specifications for an ideal thin-film such as in [10].…”

Section: Pool Solutionssupporting

confidence: 74%

“…The correct representation of the inertia term is therefore key to the development of a robust thin-film formulation. In a number of thin-film models such as [10], a uniform velocity profile is assumed when computing the depth-averaged inertia term, resulting in a "simplified inertia" representation where it is implicitly assumed that…”

Section: Numerical Formulation and Solution Approachmentioning

confidence: 99%

“…Previously the thin-film model [10] has used a semiimplicit solution algorithm where an explicit predictor step is carried out, followed by sequential sub-iterations between the continuity and momentum equations until convergence is attained. In this paper, an explicit MacCormack scheme after [19] has been implemented together with a capillary time-step constraint after [20].…”

Section: Numerical Schemesmentioning

confidence: 99%

“…As an alternative to traditional VOF methods, a number authors such as [8], [9], [10], [10] and [11] have used depth-averaged numerical approximations to study the behaviour of thin-film rimming flows. These methods may be refered to as the Eulerian Thin-Film Models (ETFM) and by removing the requirement for the film thickness to be explicitly resolved using a computational grid, a significant reduction in the computational cost is obtained.…”

Section: Introductionmentioning

confidence: 99%

“…A thin-film flow formulation for use in a multi-scale CFD model was presented in [10,13] and is currently implemented in commercial CFD code ANSYS [14]. The Wang model has however so far only been able to reproduce stable smooth solutions and unable to recover stable shock/pool solutions as anticipated from imposed conditions.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

The Depth-Averaged Numerical Simulation of Laminar Thin-Film Flows With Capillary Waves

Kakimpa

Morvan

Hibberd

2016

Journal of Engineering for Gas Turbines and Power

View full text Add to dashboard Cite

Thin-film flows encountered in engineering systems such as aeroengine bearing chambers often exhibit capillary waves and occur within a moderate to high Weber number range. Although the depth-averaged simulation of these thin-film flows is computationally efficient relative to traditional VOF methods, numerical challenges remain particularly for solutions involving capillary waves and in the higher Weber number, low surface tension range. A depth-averaged approximation of the Navier-Stokes equations has been used to explore the effect of surface tension, grid resolution and inertia on thin-film rimming solution accuracy and numerical stability. In shock and pooling solutions where capillary ripples are present, solution stability and accuracy are shown to be highly sensitive to surface tension. The common practice in analytical studies of enforcing unphysical low Weber number stability constraints is shown to stabilise the solution by artificially damping capillary oscillations. This approach however although providing stable solutions is shown to adversely affect solution accuracy. An alternative grid resolution based stability criteria is demonstrated and used to obtain numerically stable shock and pooling solutions without recourse to unphysical surface tension values. This allows for the accurate simulation of thin-film flows with capillary waves within the constrained parameter space corresponding to physical material and flow properties. Results obtained using the proposed formulation and solution strategy show good agreement with available experimental data from

show abstract

Section: Pool Solutionssupporting

confidence: 74%

Section: Numerical Formulation and Solution Approachmentioning

confidence: 99%

Section: Numerical Schemesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

The Depth-Averaged Numerical Simulation of Laminar Thin-Film Flows With Capillary Waves

Kakimpa

Morvan

Hibberd

2016

Journal of Engineering for Gas Turbines and Power

View full text Add to dashboard Cite

show abstract

Data-driven prediction of convective heat transfer coefficients in internal walls of aero-engine bearing chambers using Mind Evolution Algorithm-Enhanced Bayesian regularization neural networks

Wang,

Pan,

Wang

et al. 2024

Applied Thermal Engineering

View full text Add to dashboard Cite

Scavenge Performance of an Optimized Shallow Sump at Various Flow Conditions

Chandra

Johnson

2020

Volume 1: Aircraft Engine; Fans and Blowers

View full text Add to dashboard Cite

Oil scavenge flow in aero-engine bearing chamber remains largely a challenging problem for many engine designers. Research campaign on scavenge flow has been conducted by G2TRC – Gas Turbine and Transmissions Research Centre (previously Rolls Royce University Technology Centre in Gas Turbine Transmission Systems) at the University of Nottingham. It was recognized that a deep sump performs better than shallower one due to its ability to “shield” the collected oil in the sump from the shaft windage thus reducing the amount of oil being picked up by the bulk air rotation. However, such a deep sump design cannot be employed in some engines and especially at certain locations where space is limited. A parametric study combined with phenomenological approach on shallow sump geometry has been conducted and presented in the previous publication where a certain optimized shallow sump variant was proposed depending on whether the flow in the chamber is wall film dominated or airborne droplets dominated. The parametric phenomenological approach was employed since it can be done relatively quicker than typical data gathering through an experiment. However the approach relies on qualitative interpretation of the flow features, and its application in bearing chamber flow research has never been validated before. This paper presents the results of quantitative measurements of residence volumes of an optimized shallow sump variant identified in the parametric phenomenological study. Comparison was then made with the residence volumes of some existing engine sumps. It was found that the optimized shallow sump for wall film dominated flow has lower residence volumes compared to some existing engine sumps. In some cases, the residence volume can be reduced by up to 75%. An optimized shallow sump variant for airborne droplets dominated was also identified in the previous parametric phenomenological study, although the residence volume measurement is yet to be conducted. The optimized shallow sump for wall film dominated flow was also identified as a good sump regardless of the flow regime. However when it was tested in airborne droplets dominated flow, its residence volumes are higher than some of the existing engine sumps. This highlights the importance of considering the flow regime in the bearing chamber in any attempt to optimize a sump geometry.

show abstract

Specifying and Benchmarking a Thin Film Model for Oil Systems Applications in ANSYS Fluent

Cited by 6 publications

References 0 publications

The Depth-Averaged Numerical Simulation of Laminar Thin-Film Flows With Capillary Waves

The Depth-Averaged Numerical Simulation of Laminar Thin-Film Flows With Capillary Waves

Data-driven prediction of convective heat transfer coefficients in internal walls of aero-engine bearing chambers using Mind Evolution Algorithm-Enhanced Bayesian regularization neural networks

Scavenge Performance of an Optimized Shallow Sump at Various Flow Conditions

Contact Info

Product

Resources

About