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Parametric study of structural influences on suction performance in an Annular Jet Pump—CFD and experimental validation

Sadia Riaz, Jussi Aaltonen, Tobias Pinkse, Kari Koskinen

2025Journal of Water Process Engineering14 citationsDOIOpen Access PDF

Abstract

Efficient suction is crucial in industrial applications like slurry transport and fluid handling. This study investigates the structural influences of primary fluid's volumetric flow rate, convergence angle, and throat diameter on the suction performance of an Annular Jet Pump (AJP). Numerical simulations using the Realizable k-ε turbulence model in a Computational Fluid Dynamic (CFD) framework is validated experimentally. Experiments are conducted to validate the numerical simulation, and a comparison is drawn between those, revealing acceptable variation from the current CFD model. This work validates the Realizable k-ε turbulence model for accurately predicting flow dynamics, offering a robust framework for designing energy-efficient and high-performance Annular Jet Pumps in industrial applications. The CFD results closely align with experimental data, with a mean absolute error (MAE) of 1.71 kPa and a root mean square error (RMSE) of 2.02 kPa, corresponding to deviations of 4.6–5.5 %. Optimizing the convergence angle (27°) and throat diameter (10 mm) yielded AJP's improved suction capacity at a flow rate of 10 m 3 /h, demonstrating the design's efficacy. Compared to literature benchmarks, the pump's efficiency reached 34 % within a flow ratio range of 0.4–0.6, confirming robust performance. These findings validate the AJP's design for industrial applications and provide insights for future multiphase flow studies involving slurries. • Annular Jet Pump is used for enhanced suction purpose using CFD turbulent model and realizable k epsilon model. • Comparatively effective than CJP (Center Jet Pump) for pump fluid • CFD simulations are used to model the flow, which is done using COMSOL Multiphysics. • A parametric study is included for better understanding of different geometric parameters on suction pressure. • Experimental validation and literature comparison is done.

Topics & Concepts

Computational fluid dynamicsSuctionParametric statisticsJet (fluid)MechanicsMaterials scienceMechanical engineeringEngineeringPhysicsMathematicsStatisticsHydraulic and Pneumatic SystemsRefrigeration and Air Conditioning TechnologiesCyclone Separators and Fluid Dynamics