Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538878
Title: Theoretical and experimental investigations of multiphase flow in safety relief valves
Author: Elmayyah, Wael Mohammed Ahmed Ibrahim
Awarding Body: University of Strathclyde
Current Institution: University of Strathclyde
Date of Award: 2010
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Abstract:
In general, two phase flow through safety relief valves (SRV) is a complex flow and dominated by heat, momentum and mass transfer between phases. It is even more complex for flows in a safety valve where turbulence, flow separation and shock waves associated with compressible flow occur. Unfortunately, the literature indicates that there is no generic model with sufficient accuracy to predict the two phase flow conditions in an SRV. However, existing CFD techniques do provide the potential for predicting the two phase flow in the valve with the possibility of improving the valve design. In this study, two phase flow through an SRV has been investigated experimentally and computationally using a two dimensional mixture model of the two phase flow. Investigations have been carried out on a conventional spring loaded relief valve using a two phase mixture of air and water. The mixture model has been used with the standard k- e turbulence model to predict the two phase flow through the SRV. Quasi steady flow has been assumed to investigate the valve flow-lift and force-lift characteristics. Tests have been carried out for a range of pressures (7- 12 barg) and water mass fraction (0-0.71) and compared with the CFD predicted results. Comparisons have also been made with the ISO 4126-10 sizing model for safety valves. The CFD predictions compare well with the experimental data with an accuracy better than the ISO 4126-10 sizing model. Scaling parameters for force and flow have been presented to assist SRV design under single and two phase flow conditions.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.538878  DOI: Not available
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