Performance Optimization Based on Genetic Algorithm of Double Suction Centrifugal Pump

Zhou, Jian; Zhang, Shu Jia; Mao, Peng Zhan

doi:10.4028/www.scientific.net/amr.468-471.2565

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…Therefore, many intelligent optimization algorithms have emerged for multi-objective optimization problems. At present, PSO (Bashiri et al, 2019) and genetic algorithm (GA) (Şahin et al, 2011;Zhou et al, 2012) are widely used. Because the search of each bird in PSO is directional, and the mutation in GA is random.…”

Section: Particle Swarm Algorithmsmentioning

confidence: 99%

Performance optimization of centrifugal pump based on particle swarm optimization and entropy generation theory

Li²,

Ji³

et al. 2023

Front. Energy Res.

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Centrifugal pumps are frequently utilized in general machinery, but they have issues with low efficiency, unstable operation, and high-power consumption in actual engineering, making performance improvements necessary. In this paper, the particle swarm algorithm is utilized to find the optimal solution among the Pareto front solutions and obtain the most suitable impeller for the centrifugal pump with the lowest entropy generation and highest efficiency as the optimization objectives. Based on the entropy generation theory, the energy losses of the original model and the optimized model are compared and analyzed. The results show that the centrifugal pump impeller and volute are the two areas with the largest entropy generation ratio, the optimized centrifugal pump entropy generation decreases by 5.41%, and the efficiency increases by 3.89%. Turbulent entropy generation and wall entropy generation are the important causes of hydraulic losses. Most of the losses within the impeller occur mainly at leading edge and trailing edge of blade. As the flow rate increases, the closer the distribution of the high entropy generation rate at the front cover of the impeller, the more serious the flow losses. This paper can provide a theoretical reference for the performance optimization of centrifugal pumps.

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Section: Particle Swarm Algorithmsmentioning

confidence: 99%

Performance optimization of centrifugal pump based on particle swarm optimization and entropy generation theory

Li²,

Ji³

et al. 2023

Front. Energy Res.

View full text Add to dashboard Cite

show abstract

“…GA can be used to find out the optimization even if the objective function does not have a derivative or if it is very hard to calculate its derivative. Thus, it is mostly used for design parameter optimization, shape optimization, or topology optimization [3][4][5]. But when it comes to complex problems, repeated fitness function evaluation will be the most prohibitive and limiting part of GA.…”

Section: Introductionmentioning

confidence: 99%

The Optimal Hydraulic Design of Centrifugal Impeller Using Genetic Algorithm with BVF

Zhou

Zhang

et al. 2014

International Journal of Rotating Machinery

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Derived from idea of combining the advantages of two-dimensional hydraulic design theory, genetic algorithm, and boundary vorticity flux diagnosis, an optimal hydraulic design method of centrifugal pump impeller was developed. Given design parameters, the desired optimal centrifugal impeller can be obtained after several iterations by this method. Another 5 impellers with the same parameters were also designed by using single arc, double arcs, triple arcs, logarithmic spiral, and linear-variable angle spiral as blade profiles to make comparisons. Using Reynolds averaged N-S equations with a RNGk-εtwo-equation turbulence model and log-law wall function to solve 3D turbulent flow field in the flow channel between blades of 6 designed impellers by CFD code FLUENT, the investigation on velocity distributions, pressure distributions, boundary vorticity flux distributions on blade surfaces, and hydraulic performance of impellers was presented and the comparisons of impellers by different design methods were demonstrated. The results showed that the hydraulic performance of impeller designed by this method is much better than the other 5 impellers under design operation condition with almost the same head, higher efficiency, and lower rotating torque, which implied less hydraulic loss and energy consumption.

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Multi-objective optimal design of double-suction centrifugal pump impeller using agent-based models

Song,

Wu,

et al. 2024

J Mech Sci Technol

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Performance Optimization Based on Genetic Algorithm of Double Suction Centrifugal Pump

Cited by 3 publications

References 3 publications

Performance optimization of centrifugal pump based on particle swarm optimization and entropy generation theory

Performance optimization of centrifugal pump based on particle swarm optimization and entropy generation theory

The Optimal Hydraulic Design of Centrifugal Impeller Using Genetic Algorithm with BVF

Multi-objective optimal design of double-suction centrifugal pump impeller using agent-based models

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