Efficiency Prediction of Centrifugal Pump using the Modified Affinity Law

This research is a continuation of efforts aimed at establishing the modified affinity laws for viscosity to predict the pump performance directly from a plot in terms of dimensionless numbers i.e. flow coefficient, Reynolds number, head coefficient and efficiency. Morrison et al has earlier propose...

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Veröffentlicht in:Journal of energy resources technology 2019-09, p.1-33
Hauptverfasser: Agarwal, Rahul, Patil, Abhay, Morrison, Gerald
Format: Artikel
Sprache:eng
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Zusammenfassung:This research is a continuation of efforts aimed at establishing the modified affinity laws for viscosity to predict the pump performance directly from a plot in terms of dimensionless numbers i.e. flow coefficient, Reynolds number, head coefficient and efficiency. Morrison et al has earlier proposed modified head coefficient affinity law. This work proposes and validates a similar efficiency plot that completes the set of modified affinity laws that includes all the input and output parameters for a specific pump design and type. A wide range of viscosities and flow rates are considered for CFD analysis to have a comprehensive set of data that includes enough data points to comment on both the laminar and turbulent flow cases categorized based on the hydraulic Reynolds number (2300). Initial analysis shows some inconsistency based on laminar vs turbulent simulation model selection which is addressed in the later part of this work. In general, two curves can be constructed for laminar and turbulent flow cases. These curves have different axes parameters (exponents of the dimensionless numbers) depending on the plot being for a laminar or a turbulent flow case. Validation with established experimental data shows good agreement in terms of the variation of axes parameters (their exponents) depending on the pump type for a single suction impeller and a double suction impeller pump. The distinction between laminar and turbulent flow cases is found to be applicable to established experimental data as well.
ISSN:0195-0738
1528-8994
DOI:10.1115/1.4044940