Volume 2: Computational Fluid Dynamics 2019
DOI: 10.1115/ajkfluids2019-5157
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Study of a Multistage Canned Motor Pump: Simulation, Optimization and Validation

Abstract: This paper describes the detailed analysis of a multistage canned motor pump with an additional radial suction impeller by means of CFD simulations to determine the main losses and to establish optimization potential of the hydraulic parts. In addition to the main flow channels of the impeller, the degree of detail of the analysis also includes the front and rear impeller side spaces, relief holes, gaps, return sections and all hydraulically wetted surfaces of the canned motor. The model presented was successi… Show more

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Cited by 2 publications
(6 citation statements)
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“…The precise CFD evaluation of the cavitation pa- rameter σ s is quite problematic. Our procedure is based on a static evaluation of the given pressures on the runner blades [17,18]. This procedure proved successful in optimising Kaplan-type turbines [19].…”
Section: Evaluation Of Cfd Resultsmentioning
confidence: 99%
“…The precise CFD evaluation of the cavitation pa- rameter σ s is quite problematic. Our procedure is based on a static evaluation of the given pressures on the runner blades [17,18]. This procedure proved successful in optimising Kaplan-type turbines [19].…”
Section: Evaluation Of Cfd Resultsmentioning
confidence: 99%
“…Navier-Stokes equations describe the partial differential equations of a viscous, incompressible fluid and are part of the principle of conservation of momentum, mass and energy. 4…”
Section: Methodsmentioning
confidence: 99%
“…Unlike the traditional Francis runner design, the leading edge of the x-blade runner blades was inverted and the trailing edge was crooked. Thanks to this design, a highly balanced flow area was created in the runner passageways and a homogeneous pressure distribution was achieved on the runner blades [4]. This process also helped to achieve a more even pressure distribution on the turbine runner [13].…”
Section: Turbine Runner Design and Optimizationmentioning
confidence: 99%
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