Numerical simulation of oil flow in a power steering pump

Takemori, Celso Kenzo; Paladino, Emilio E.; Lessa, Leonardo

doi:10.4271/2005-01-4061

Cited by 3 publications

(4 citation statements)

References 1 publication

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“…A spatial discretization data which were chosen are as follow: standard for pressure, second order upwind for density and momentum, first order upwind for turbulent kinetic energy and specific dissipation rate. Navier-stokes continuity and momentum conservation equations for Newtonian fluids are given as follow [3]:…”

Section: Numerical Details and Governing Equationsmentioning

confidence: 99%

“…Where ρ is density, U is velocity vector, P is pressure, µ is dynamic viscosity, and 2represents the summation of external forces: pressure and shear stresses [3].…”

Section: Numerical Details and Governing Equationsmentioning

confidence: 99%

“…It also produces low-pressure locations which could lead to originate cavitation. Using different geometries like (V-notch) in the inlet port of the pump is a good way to smooth the pressure variations, as demonstrated in [3]. Rana and Kumar [4] modelled a gear pump using CFD ANSYS Fluent version 14.0 in order to examine existing pump for working at 4 PSI delivery pressure which is required to operate punching machine for cooling purpose.…”

Section: Introductionmentioning

confidence: 99%

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Numerical and Experimental Study of a Small-Scale Sliding Vane Pump

El-Hennawi

Mahmoud

Hussin

et al. 2019

Journal of Al-Azhar University Engineering Sector

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Automotive pumps have two forms either hydraulic or centrifugal one. Hydraulic pumps are usually positive displacement pumps. In the automotive industry, vane pumps have wide range of applications including fuel pumping, power steering system and automatic transmission system. Fluid behavior costs a lot to be seen inside the pump during operation experimentally however, predictive tools based on Computational Fluid Dynamics (CFD), has become a valid alternative approach to pump design and optimization. In this paper, CFD analysis for oil vane pump will be shown including different (number of vanes) models and different gap heights. The numerical model was built up with ANSYS (Fluent) using dynamic mesh code and it was validated by comparing the obtained numerical results with the experimental data of (four vanes) pump. The model gave a good agreement with the experiment results, with maximum deviation <6 % in the flow rate. The eight vanes pump model and the gap with a height of 0.1 mm gave the largest flow-rate and best performance as well.

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Section: Numerical Details and Governing Equationsmentioning

confidence: 99%

“…Where ρ is density, U is velocity vector, P is pressure, µ is dynamic viscosity, and 2represents the summation of external forces: pressure and shear stresses [3].…”

Section: Numerical Details and Governing Equationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Numerical and Experimental Study of a Small-Scale Sliding Vane Pump

El-Hennawi

Mahmoud

Hussin

et al. 2019

Journal of Al-Azhar University Engineering Sector

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“…For gear pumps, see Riemslagh et al [3] and Houzeaux and Codina [4]; for gerotor pumps, see Ruvalcaba and Hu [5]; for piston pumps, see Casoli et al [6]; for progressive cavity pumps, see Paladino et al [7]; for twin screw pumps, see Kovačević et al [8]; and for vane pumps, see Takemori et al [9].…”

Section: Introductionmentioning

confidence: 99%

Numerical Characterization of the Performance of Fluid Pumps Based on a Wankel Geometry

Wan

Leong

et al. 2014

Journal of Fluids

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The performance of fluid pumps based on Wankel-type geometry, taking the shape of a double-lobed limaçon, is characterized. To the authors' knowledge, this is the first time such an attempt has been made. To this end, numerous simulations for three different pump sizes were carried out and the results were understood in terms of the usual scaling coefficients. The results show that such pumps operate as low efficiency (<30%) valveless positive displacements pumps, with pump flow-rate noticeably falling at the onset of internal leakage. Also, for such pumps, the mechanical efficiency varies linearly with the head coefficient, and, within the onset of internal leakage, the capacity coefficient holds steady even across pump efficiency. Simulation of the flow field reveals a structure rich in three-dimensional vortices even in the laminar regime, including Taylor-like counterrotating vortex pairs, pointing towards the utility of these pumps in microfluidic applications. Given the planar geometry of such pumps, their applications as microreactors and micromixers are recommended.

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Advanced Computational Modeling of Steady and Unsteady Cavitating Flows

Kelecy

Egelja-Maruszewski

et al. 2008

Volume 10: Heat Transfer, Fluid Flows, and Thermal Systems, Parts A, B, and C

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The numerical simulation of steady and unsteady cavitating flows presents unique challenges in the development of robust numerical methodologies. The major difficulties are associated with the large density variations due to the phase change processes, and the modeling of liquid-vapor mass transfer (along with potentially strong interfacial heat transfer). The multiphase cavitation modeling approach described in this paper has been found to be capable of addressing these issues in an accurate and robust fashion, and is therefore suitable for inclusion in an advanced general purpose CFD solver. In the present approach, cavitation can be modeled within the framework of either the multiphase mixture model or the Eulerian multifluid model. The governing equations are the mixture (mixture model) or phase (Eulerian multifluid model) momentum, energy, turbulence, and phase volume fraction equations. The liquid-vapor mass transfer (evaporation and condensation) is modeled using two baseline cavitation models: Schnerr-Sauer model, and Zwart-Gerber-Belamri model. An advanced numerical scheme has been developed for solving the model equations which can handle large liquid-vapor density ratios, provide for mass transfer source terms in phase volume equations, and address the coupling between the phase change rates and the pressure correction equation. In addition, the cavitation models have been extended to compressible multiphase liquid and vapor flow regimes, and to problems involving convective heat transfer. The numerical algorithm has been implemented in an advanced, general-purpose CFD code, FLUENT, and validations have been carried out for a range of steady-state and unsteady flows, including a 2D axisymmetric orifice, a 3D fuel injector, a radial liquid pump, and a vane pump. The results demonstrate that the cavitation models are able to correctly predict the location and size of vapor bubbles, pressure distributions, and bulk flow parameters. Tests also indicate that the present implementation is both fast and robust, as compared to previous approaches. For unsteady simulations, the method can employ large time steps (limited only by physical or mesh motion considerations), making it efficient for unsteady flows driven by either boundary conditions or mesh motion.

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Numerical simulation of oil flow in a power steering pump

Cited by 3 publications

References 1 publication

Numerical and Experimental Study of a Small-Scale Sliding Vane Pump

Numerical and Experimental Study of a Small-Scale Sliding Vane Pump

Numerical Characterization of the Performance of Fluid Pumps Based on a Wankel Geometry

Advanced Computational Modeling of Steady and Unsteady Cavitating Flows

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