Engineering of combined valve flow for power conversion system

Halimi, Burhanuddin; Kim, Seung H.; Suh, Kune Y.

doi:10.1016/j.enconman.2012.09.012

Cited by 7 publications

(3 citation statements)

References 12 publications

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“…Computational fluid dynamics (CFD) is a useful tool for the in-depth analysis of parameters that are difficult to obtain experimentally, such as flow forces and damping. Numerous studies [10][11][12][13][14] have shown that the flow coefficients of various valves obtained using CFD agree well with experimental data. Morita et al [15] investigated the unsteady flow in a valve under a partial opening condition and reproduced the unsteady flow phenomenon using CFD.…”

Section: Introductionsupporting

confidence: 55%

Computational Fluid Dynamics Simulation and Optimization of Hydropneumatic Spring Damper Valves for Heavy Vehicle Applications

Nie

Sha

et al. 2023

Machines

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To satisfy the design requirements for a hydropneumatic spring damper valve, the inlet–outlet pressure drop (ΔP) and the axial force on the spool (FZ) of a valve were investigated using fluid–solid coupling simulations and multi-objective optimization, along with the effects of the diameters of three internal holes (DA, DB, and DC) in the valve on the ΔP and the FZ. First, a meshed computational fluid dynamics model of a damper valve was established based on its geometric structure. Next, the effects of the flow rate (Q) and the diameter of the damping hole in the internal structure on the ΔP and the FZ of the damper valve were investigated. The results showed that the ΔP and the FZ varied nonlinearly with Q. For a given Q, the ΔP decreased as DA, DB, and DC increased. For a given Q, the FZ was not related to DA and DC, but it decreased as DB increased. Finally, the structure of the damper valve was optimized by defining the ΔP and the FZ as the response variables and DA, DB, and DC as the explanatory variables. The results showed that the best configuration of the hole diameters was DA = 8.8 mm, DB = 5.55 mm, and DC = 6 mm. In this configuration, ΔP = 0.704 MPa and FZ = 110.005 N. The ΔP of the optimized valve was closer to the middle value of the target range than that of the initial valve design. The difference between the simulated and target values of the FZ decreased from 0.28% to 0.0045%, satisfying application requirements.

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Section: Introductionsupporting

confidence: 55%

Computational Fluid Dynamics Simulation and Optimization of Hydropneumatic Spring Damper Valves for Heavy Vehicle Applications

Nie

Sha

et al. 2023

Machines

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“…These simulations revealed a rich variety of flow phenomena such as secondary patterns, hydrodynamic instabilities, turbulent pressure fluctuations due to vortex shedding, etc. Meanwhile, many researchers started to apply CFD method in the design and analyze other types of valves like hydraulic control valves and servo valves [17][18][19][20][21]. For instance, Lisowski and Rajda [20] investigated the pressure loss during flow by hydraulic directional control valve constructed from logic valves.…”

Section: Introductionmentioning

confidence: 99%

A CFD analysis of the dynamics of a direct-operated safety relief valve mounted on a pressure vessel

Song

Cui

Cao

et al. 2014

Energy Conversion and Management

113

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This version is available at https://strathprints.strath.ac.uk/50869/ Strathprints is designed to allow users to access the research output of the University of Strathclyde. Unless otherwise explicitly stated on the manuscript, Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Please check the manuscript for details of any other licences that may have been applied. You may not engage in further distribution of the material for any profitmaking activities or any commercial gain. You may freely distribute both the url (https://strathprints.strath.ac.uk/) and the content of this paper for research or private study, educational, or not-for-profit purposes without prior permission or charge. Abstract:In this study, a numerical model is developed to investigate the fluid and dynamic characteristics of a direct-operated safety relieve valve (SRV). The CFX code has been used to employ advanced Keywords:Direct-operated safety relief valve, pressure vessel, blowdown, CFD, moving mesh Highlights:A dynamic CFD analysis of a direct-operated safety relief valve with moving mesh is presented.Conventional inlet assumption is replaced by a pressure vessel to provide more realistic condition.The whole operation process of the valve from open to closure is monitored and investigated.The authors believe that this is the first time that a complete simulation of a SRV has been published providing detailed insight to the governing flow processes and the ability to accurately quantify valve dynamics and valve performance only previously available using experimental methods.Effects of factors such as vessel volume, adjusting ring position and spring stiffness are compared.

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“…However, significant error prevailed with the maximum in three-dimensional model reached about þ20% at 15 mm (medium-small level) opening, and even higher error in two-dimensional model prediction. Halimi et al [10] performed experimental and numerical studies for combined control and stop valve. They showed that the k-e model predicted the flow coefficient agreed well with the experiment data generally, but the deviation can reach around 15% at 5% opening ratio.…”

Section: Introductionmentioning

confidence: 99%

Data Assimilation of Steam Flow Through a Control Valve Using Ensemble Kalman Filter

Fang

He²,

Wang³

et al. 2021

Journal of Fluids Engineering

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The present work concentrates on the simulation enhancement of steam flow through a control valve using novel data assimilation (DA) approach. Ensemble Kalman filter (EnKF) is applied to improve the performance of k-? shear stress transport (SST) model by optimizing its turbulence model constants. The selected measurement data at different operating conditions are used as observation, while the rest data are involved for validation. Firstly, four flow patterns, which arise on their respective operating conditions, are identified and analyzed to illustrate the basic characteristics of flow in the control valve. Then DA is performed based on the sample computation by perturbing the model constants and the EnKF process to determine the optimal constant matrix. This optimized constant matrix is subsequently used for the precomputation of the valve flow with significant improvement on the flow rate prediction. The velocity and turbulent kinetic energy fields with default and optimal model constants are also compared to illustrate the effect of DA. The results show that the DA enhanced model constants can significantly reduce the predicted volume flow rate error at all opening ratios presently concerned. With updated model constants, the velocity and turbulent kinetic energy distributions are greatly modified in the valve seat between main valve and control valve.

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Engineering of combined valve flow for power conversion system

Cited by 7 publications

References 12 publications

Computational Fluid Dynamics Simulation and Optimization of Hydropneumatic Spring Damper Valves for Heavy Vehicle Applications

Computational Fluid Dynamics Simulation and Optimization of Hydropneumatic Spring Damper Valves for Heavy Vehicle Applications

A CFD analysis of the dynamics of a direct-operated safety relief valve mounted on a pressure vessel

Data Assimilation of Steam Flow Through a Control Valve Using Ensemble Kalman Filter

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