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2000
Volume 18, Issue 1
  • ISSN: 2405-5204
  • E-ISSN: 2405-5212

Abstract

Background

Centrifugal pump is widely used in industrial production as a key fluid conveying equipment. The transient characteristics during its start-up process may lead to vibration, noise and efficiency loss. Therefore, it is very important to optimize the start-up process.

Objective

Optimize the structural parameters of the centrifugal pump, with the initial pulse values of both the head and efficiency as the optimization objectives, to enhance its transient performance.

Methods

In recent years, thanks to advances in patents and technology, centrifugal pump optimization through numerical simulation and experimental comparison has become more reliable. This article selects design parameters through sensitivity analysis, and then establishes a BP neural network and optimizes it using genetic algorithm.

Results

The optimized head pulse value is reduced by 4.39 m, and the efficiency pulse value is reduced by 5.65%. Make the start-up process of centrifugal pump more stable.

Conclusion

Among the parameters that affect the stability of the centrifugal pump start-up process, it can be obtained that the three factors of impeller outlet width, blade outlet angle and blade wrap angle have the greatest influence on the fluctuating head and efficiency of the centrifugal pump.

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2025-12-10

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Simulation and Optimization of Start-up Process of High-speed Gas-liquid Two-phase Pump
Recent Innovations in Chemical Engineering 18, 26 (2025); https://doi.org/10.2174/0124055204340331241223035902
/content/journals/rice/10.2174/0124055204340331241223035902
/content/journals/rice/10.2174/0124055204340331241223035902
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  • Article Type:     Research Article
Keyword(s): BP neural network; Centrifugal pump; fluid conveying equipment; gas-liquid two-phase; initiating process; transient performance

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