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

Abstract

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.

A computational fluid dynamics (CFD) analysis of fluid excitations on the spindle in a high-pressure valve

“…The k-ω-SST, proposed by Menter [34], is an appropriate choice for this case particularly since the flow is 2D, since it has a proven ability o to capture flow separation and lambda shock formation [35] in 2D cases. Furthermore, this choice over other candidate 2-equation models would appear not to be a significant source of doubt-based on the conclusions of a recent study on a similar 2D geometry where the six different 2-equation models tested all returned relatively similar results [32,33]. More complex modelling would be required for fully 3D internal flows with boundary layer separation, as demonstrated in recent work where a recently developed Reynolds stress transport model was tested [36].…”

Numerical and experimental studies of gas–liquid flow and pressure drop in multiphase pump valves

“…The RNG k-e turbulence model is a typical two-equation model, which has been proved to have relatively good stability, computational accuracy, and economics in the simulations of the valves and multiphase flow. [18][19][20] It adds the extra terms and functions in the governing equation and has a greater degree of nonlinearity than the standard k-e model. Moreover, the effect of the swirl on the turbulence is included in the RNG k-e model, enhancing the accuracy for the swirling flows.…”

Fluid-Structure Interaction Simulation of Excess Flow Valve Movement at Different Operating Pressures and Gas Flow Rates

“…Computational fluid dynamics (CFD) is a proper discipline that can simulate such flow conditions with time-depended strategy, which can provide detailed information on fluids behave as real-time pressure force, compressibility effect, turbulence, etc. Duan et al (2019) used 2D CFD model simulate conic, disk and compensated valve to evaluate performances of different eddy viscosity models. They used 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.…”