Multistage canned motor pump – getting deep insights with CFD – simulation, optimization and validation

Mosshammer, Markus; Benigni, Helmut; Jaberg, Helmut; Kramer, Stephan C.; Dahlke, C. W.

doi:10.1088/1755-1315/240/3/032004

Cited by 3 publications

References 6 publications

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Double-suction pump impeller optimization and performance analysis based on nonlinear programming quadratic Lagrangian algorithm

Wang,

Chen,

Zhou

et al. 2024

Physics of Fluids

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To reduce the energy consumption of the double-suction pump, this study optimizes the impeller of the pump based on the Nonlinear Programming Quadratic Lagrangian (NLPQL) algorithm in OptiSLang. Taking the weighted efficiency as the optimization objective, 28 design parameters of the impeller are selected as the input variables, 300 groups of sample schemes are generated through the Advanced Latin Hypercubic Sampling method, and an automatic numerical simulation platform is setup to optimize the impeller under different working conditions. A metamodel of optimal prognosis is built by OptiSLang based on sample data and system response, seven variables with high sensitivity are screened out, and the NLPQL algorithm is adopted to carry out the optimization design to obtain the optimized model. The optimized model is, then, verified by the numerical simulation, and it is analyzed and compared with the original model from external characteristic curves and internal flow mechanism. The results show that: the match between the optimized design variables and the optimization objective is good; the weighted efficiency of the optimized pump is increased by 4.3%, the high efficiency zone is obviously enlarged and the shaft power is significantly decreased; the flow lines in the optimized impeller are obviously improved, the vortex is eliminated, and the velocity distribution is more uniform; the low pressure zone at the inlet of the vane is obviously reduced.

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Double-suction pump impeller optimization and performance analysis based on nonlinear programming quadratic Lagrangian algorithm

Wang,

Chen,

Zhou

et al. 2024

Physics of Fluids

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Method for leakage measurement in the recirculation path of a hermetic pump

Chaburko

Кузнецов

2020

IOP Conf. Ser.: Mater. Sci. Eng.

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The article is devoted to the measurement of leakage in the recirculation path of a hermetic pump. The field of application of hermetic pumps is described. The mathematical model used in computer simulation and the mesh conditions are given. The results of the numerical modeling and the theoretical calculation are presented. The graph of the dependence of the leakage in the recirculation path on the pump head is shown. The scalar scenes of velocities and pressures in the c path are given.

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Design of Canned Motor Pump Fault Prediction System Based on Genetically Optimized BP Neural Network

Yang,

2023

2023 IEEE 11th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)

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Multistage canned motor pump – getting deep insights with CFD – simulation, optimization and validation

Cited by 3 publications

References 6 publications

Double-suction pump impeller optimization and performance analysis based on nonlinear programming quadratic Lagrangian algorithm

Double-suction pump impeller optimization and performance analysis based on nonlinear programming quadratic Lagrangian algorithm

Method for leakage measurement in the recirculation path of a hermetic pump

Design of Canned Motor Pump Fault Prediction System Based on Genetically Optimized BP Neural Network

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