Coupling Quasi-Two-Dimensional Friction Model and Discrete Vapor Cavity Model for Simulation of Transient Cavitating Flows in Pipeline Systems

Sun, Qiang; Wu, Yuebin; Xu, Ying; Chen, Liang; Jang, Tae Uk

doi:10.1155/2020/8089308

Cited by 1 publication

(2 citation statements)

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“…The analysis is conducted in the cases of low-intensity cavitation (V 0 ¼ 0.30 m/s) and high-intensity cavitation (V 0 ¼ 1.40 m/s). A similar analysis of the 2D-DVCM has been carried out in author's previous paper (Sun et al 2020). Figure 11 shows the pressure head calculated by using different weighting coefficients of the 2D-DGCM for the case of V 0 ¼ 0.30 m/s.…”

Section: Effects Of Weighting Coefficients ψ and εmentioning

confidence: 58%

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Parametric analysis of discrete multiple-cavity models with the quasi-two-dimensional friction model for transient cavitating pipe flows

Sun

Hao

Cheng

2022

Journal of Water Supply: Research and Technology-Aqua

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Discrete multiple-cavity models coupled with quasi-two-dimensional (quasi-2D) friction models are effective solutions to simulating transient cavitation pipe flows. The simulation accuracy of such models hinges upon the understanding of key parameters of the models, which remains elusive so far. To address such an open issue, this paper employs the discrete vapor cavity model (DVCM) and the discrete gas cavity model (DGCM), combined with the quasi-2D friction model, with a particular focus on revealing the sensitivity of these models to the key parameters such as grid number and weighting parameters. Based on the quantitative analysis and pressure fluctuation history, a method is developed to evaluate the accuracy of numerical results. Results show that the inclusion of the quasi-2D friction model improves the accuracy of predicting time of cavity formation and collapse; however, it does not affect the selection of grid number. Meanwhile, numerical results are sensitive to the weighting parameter of the viscous term in the quasi-2D friction model except for the case of low-intensity cavitation and its value of 1 is suggested for all cases. From the practical point of view, our finding is helpful to understand the feature of discrete multiple-cavity models and improve the simulating accuracy of transient cavitation pipe flows.

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Section: Effects Of Weighting Coefficients ψ and εmentioning

confidence: 58%

“…The numerical scheme of the 2D-DVCM is shown in the author's previous paper (Sun et al 2020). For the 1D-DGCM, the solution for transient flows is calculated using the MOC.…”

Section: Numerical Schemementioning

confidence: 99%