Multi-Objective Optimization and Entropy Production Analysis of Solid–Liquid Two-Phase Flow in Centrifugal Pumps Based on Fluent—Event-Driven Execution Manager Coupling Method

In response to the severe wear of centrifugal pumps, Workbench workflow is utilized to adjust the blade inlet and outlet angles, aiming to reduce the wear of the impeller and volute of the centrifugal pump and optimize the pump’s efficiency and head. Orthogonal experiments are conducted by varying the inlet and outlet angles. The original sample points are expanded and optimized in combination with the support vector machine and grid search. The optimization results indicate that under the condition of spherical particles, the efficiency at the rated operating condition increases by 1.71%, and the head rises by 0.35%. The appropriate eddy currents formed by increasing the impeller inlet angle alleviate the particle deposition phenomenon in the centrifugal pump, resulting in a smoother particle flow. The wear of the centrifugal pump blades decreases from 40.76 × 10−7 mm to 7.77 × 10−7 mm. After optimization, the overall entropy generation rate of the volute decreases, while that of the blade suction surface and the impeller outlet area increases. Additionally, through empirical mode decomposition analysis, it is found that the optimized design reduces high–frequency interference and the pulsation amplitude, making the flow field more stable. The frequency distribution also shifts from being dominated by high–frequency components to concentrating energy in the medium- and low-frequency regions.

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Publication Details

Journal
Fluids
Published
2026-08-26
DOI
https://doi.org/10.3390/fluids11090212
Primary Topic
Cavitation Phenomena in Pumps
Type
article
Field-Weighted Citation Impact
0.00

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article

Multi-Objective Optimization and Entropy Production Analysis of Solid–Liquid Two-Phase Flow in Centrifugal Pumps Based on Fluent—Event-Driven Execution Manager Coupling Method

Wei Dong, Jiaming Xu, Luning Yang, Sucheng Li
Fluids
Cavitation Phenomena in Pumps
article

Multi-Objective Optimization and Entropy Production Analysis of Solid–Liquid Two-Phase Flow in Centrifugal Pumps Based on Fluent—Event-Driven Execution Manager Coupling Method

Wei Dong, Jiaming Xu, Luning Yang, Sucheng Li
article en

Abstract

In response to the severe wear of centrifugal pumps, Workbench workflow is utilized to adjust the blade inlet and outlet angles, aiming to reduce the wear of the impeller and volute of the centrifugal pump and optimize the pump’s efficiency and head. Orthogonal experiments are conducted by varying the inlet and outlet angles. The original sample points are expanded and optimized in combination with the support vector machine and grid search. The optimization results indicate that under the condition of spherical particles, the efficiency at the rated operating condition increases by 1.71%, and the head rises by 0.35%. The appropriate eddy currents formed by increasing the impeller inlet angle alleviate the particle deposition phenomenon in the centrifugal pump, resulting in a smoother particle flow. The wear of the centrifugal pump blades decreases from 40.76 × 10−7 mm to 7.77 × 10−7 mm. After optimization, the overall entropy generation rate of the volute decreases, while that of the blade suction surface and the impeller outlet area increases. Additionally, through empirical mode decomposition analysis, it is found that the optimized design reduces high–frequency interference and the pulsation amplitude, making the flow field more stable. The frequency distribution also shifts from being dominated by high–frequency components to concentrating energy in the medium- and low-frequency regions.

FluidsVol. 11(9)
Ministry of Education of the People's Republic of China (CN), Agriculture and Forestry University (NP)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 18%
Cavitation Phenomena in Pumps
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Multi-Objective Optimization and Entropy Production Analysis of Solid–Liquid Two-Phase Flow in Centrifugal Pumps Based on Fluent—Event-Driven Execution Manager Coupling Method — Wei Dong, Jiaming Xu, et al. · Fluids (2026) | TGRS Research Map | TGRS