Two-phase discharge flow prediction in safety valves
Dempster, William and Elmayyah, Wael (2012) Two-phase discharge flow prediction in safety valves. In: 13th International Conference on Pressure Vessel Technology, 2012-05-20 - 2012-05-23.
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Abstract
Safety Relief Valves (SRV) are necessary elements in the protection of any pressurised system and the prediction of the expected discharge flows is an important consideration for the valve sizing to ensure that rupture pressures do not occur. The high speed flows that occur inside the SRV are complex particularly when a two-phase flow is involved and lead to a less capable protection device which result in larger valves compared to single phase flows. In this paper the ability of a CFD based two phase mixture model to predict the critical flows of air and water through a safety valve is examined. An industrial refrigeration safety relief valve of ¼” inlet bore size has been tested experimentally over a pressure range of 6-15 barg and air mass qualities from 0.1-1 when discharging to near atmospheric conditions for a fully open condition. A two-dimensional mixture model consisting of mixture mass, momentum, and energy equations, combined with a liquid mass equation and the standard k- ε turbulence model for mixture turbulent transport has been used to predict the two phase flows through the valve. The mixture model results have been compared with the Homogenous Equilibrium Model (HEM) commonly used for in valve sizing in non flashing two phase flow conditions. The accuracy of the models over the two phase flow range are quantified and discussed.
ORCID iDs
Dempster, William ORCID: https://orcid.org/0000-0001-8918-3832 and Elmayyah, Wael;-
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Item type: Conference or Workshop Item(Paper) ID code: 42273 Dates: DateEvent20 May 2012PublishedSubjects: Technology > Mechanical engineering and machinery Department: Faculty of Engineering > Mechanical and Aerospace Engineering Depositing user: Pure Administrator Date deposited: 05 Dec 2012 10:11 Last modified: 11 Nov 2024 16:35 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/42273