Numerical simulation and structure improvement of double throttling in a high parameter pressure reducing valve

Jin, Zhi Min; Lin, Wei; Li-long, Chen; Zhang, Ming

doi:10.1631/jzus.a1200146

Cited by 39 publications

(15 citation statements)

References 21 publications

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“…Extensive CFD studies of valve flows have been conducted in support of understanding and improving designs. Some examples of such CFD studies can be found in [1][2][3][4][5][6][7][8][9][10][11][12][13][14]. Similar to experimental measurements, there are uncertainties/errors in all of the industrially practical CFD methods.…”

Section: Introductionmentioning

confidence: 99%

An assessment of eddy viscosity models on predicting performance parameters of valves

Duan

Jackson

Eaton

et al. 2019

Nuclear Engineering and Design

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The major objective of the present study is to evaluate the performance of a range of turbulent eddy viscosity models in the prediction of macro-parameters (flow coefficient (CQ) and force coefficient (CF)), for certain types of valve, including the conic valve, the disk valves, and the compensated valve. This has been achieved by comparison of numerical predictions with experimental measurements available in the literature. The examined turbulence models include most of the available turbulent eddy viscosity models in STAR-CCM+ 12.04. They are the standard k-ε model, realizable k-ε model, k-ω-sst model, V2F model, EB k-ε model and the Lag EB k-ε models. The low-Re turbulence models (k-ω-sst, V2F, EB k-ε and Lag EB k-ε) perform worse than the high-Re models (standard k-ε and realizable k-ε). For the conic valve, the performance of different turbulent models varies little; the standard k-ε model shows a marginal advantage over the others. The performance of the turbulence models changed greatly, however, for prediction of CQ and CF of the disk and compensated valves. In general, the realizable k-ε model is demonstrated to be a robust choice for both valve types. Although the EB k-ε may marginally outperform it in the prediction of CF at large disk valve opening. The effects of the unknown entry flow and initialization conditions are also studied. The predictions are more sensitive to the entry flow condition when the valve opening is large. Additionally, the uncertainties caused by unknown entry conditions are comparable to overall modelling errors in some cases. For flow systems with multiple stable flow-states coexisting in the flow domain, the output of the numerical models can also be affected by the initialization conditions. When the streamline curvature and secondary flow is modest like conical valve flow, the nonlinear modification of the standard k-ε model and k-ω-sst model, as well as the curvature correction in the realizable k-ε model, will not have visible effects on the numerical prediction. Once the strong streamline curvature and secondary flow exit in the domain, such as the disk valve flow, the non-linear modification of the standard k-ε model will greatly improve the numerical outputs, however, the non-linear modifications of k-ω-sst model only have minor effects. Moreover, the curvature correction in the realizable k-ε model will jeopardise the accuracy of outputs in the same case.

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Section: Introductionmentioning

confidence: 99%

An assessment of eddy viscosity models on predicting performance parameters of valves

Duan

Jackson

Eaton

et al. 2019

Nuclear Engineering and Design

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“…The grid independence check of Valve B is listed in Table 1 [18]. Those grids were meshed with cells of different size.…”

Section: Computational Modelmentioning

confidence: 99%

“…The HPRV in Fig 1 [ 18 ] mainly consists of a forge-welded angle-type valve body, a conical plug and a perforated plate used for noise control. The perforated plate is a rounded flat plate with many through holes.…”

Section: Computational Modelmentioning

confidence: 99%

Numerical Simulation of Flow-Induced Noise in High Pressure Reducing Valve

et al. 2015

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The main objective of this paper is to study the characteristics of flow-induced noise in high pressure reducing valve (HPRV) and to provide some guidance for noise control. Based on computational fluid dynamics (CFD), numerical method was used to compute flow field. Ffowcs Williams and Hawkings Model was applied to obtain acoustic signals. The unsteady flow field shows that noise sources are located at the bottom of plug for valve without perforated plate, and noise sources are behind the plate for valve with perforated plate. Noise directivity analysis and spectrum characteristics indicate that the perforated plate could help to reduce noise effectively. Inlet pressure has great effects on sound pressure level (SPL). The higher inlet pressure will lead to larger SPL at high frequency. When the maximum Ma is close to 1, SPL at low frequency becomes very high.

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“…Flow through a contraction or expansion is a classical problem in fluid dynamics and its numerical modelling has a lot of applications such as nozzles (Xiong et al 2015;Allamaprabhu et al 2016), diffuser (Rosa and Pinho 2006;Mariani et al 2010) and throttling valves (Jin et al 2013). Other applications, with both combined geometries, are encountered in Venturi devices (Dong et al 2012;Maqableh et al 2012) and hemodynamics (Ikbal et al 2009;Ponalagusamy and Selvi 2013;Mandal et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Influence of Smooth Constriction on Microstructure Evolution during Fluid Flow through a Tube

Ferrer¹,

Mil-Martínez²,

Ortega³

et al. 2017

JAFM

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A numerical solution for axis-symmetrical fluid flow through a smooth constriction using the alternating direction implicit finite volume method and the fractional-step-method is presented. The wall is modelled with a smooth contraction mapped by a sinusoidal function and the flow is supposed to be axis-symmetric. A pressure boundary condition is set at the inlet and the resulting pressure gradient field drives fluid flow which is always in laminar regime. This study presents results for a non-Newtonian fluid using the Ostwaldde Waele constitutive model. Moreover, a transient network representing three different microstructures, immersed in the fluid, is evolved by viscous dissipation and an isothermal process is considered. The time dependent evolution of the transient network is represented by a set of kinetic equations with their respective forward and reversed constants. The numerical predictions show that, at a fixed Reynolds number, the viscous dissipation and the grade of structure restoration or breakage is influenced by constriction severity due to the energy generated during fluid flow. A 50% reduction in transversal section generates secondary flow downstream and vortex shedding, whereas a 10% and 25% constrictions presents a thin boundary layer and no secondary flow near the constricted wall.

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Numerical simulation and structure improvement of double throttling in a high parameter pressure reducing valve

Cited by 39 publications

References 21 publications

An assessment of eddy viscosity models on predicting performance parameters of valves

An assessment of eddy viscosity models on predicting performance parameters of valves

Numerical Simulation of Flow-Induced Noise in High Pressure Reducing Valve

Influence of Smooth Constriction on Microstructure Evolution during Fluid Flow through a Tube

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