Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Optimization of water-jet pump based on the coupling of multi-parameter and multi-objective genetic algorithms

Version 1 : Received: 26 July 2023 / Approved: 27 July 2023 / Online: 27 July 2023 (08:36:44 CEST)

How to cite: Long, Y.; Chenbiao, T.; Zhuang, Q.; Rongsheng, Z.; Yin, J.; Wang, D. Optimization of water-jet pump based on the coupling of multi-parameter and multi-objective genetic algorithms. Preprints 2023, 2023071870. https://doi.org/10.20944/preprints202307.1870.v1 Long, Y.; Chenbiao, T.; Zhuang, Q.; Rongsheng, Z.; Yin, J.; Wang, D. Optimization of water-jet pump based on the coupling of multi-parameter and multi-objective genetic algorithms. Preprints 2023, 2023071870. https://doi.org/10.20944/preprints202307.1870.v1

Abstract

As the core components of water jet propulsion system, water jet pump, directly affect the ship's propulsion performance. 3D reverse design method can effectively suppress the impeller secondary flow to get better performing hydraulic models. Aiming at fast and efficient optimization of the impellers, we parameterize the impellers and runner, and coupled with optimization algorithms and numerical calculations. It is an efficient and feasible way to coupling optimization based on multi-parameter, multi-objective and optimization algorithms, and parameterizing the impellers and guide vane geometry based on the 3D model designed by 3D reverse design method. In this paper, the waterjet propulsion pump is taken as the research object. According to the design method of the waterjet propulsion pump hydraulic model, the traditional axial flow blade design method, the modern ternary design theory of the blades, and the parametric three-dimensional reverse design method are selected to constructing an optimal design optimization strategy for the impeller of water-jet propulsion pump based on multi-parameter and multi-object genetic algorithm. Under the design conditions, the optimized pump efficiency reaches 89.28%, which is 1.24% higher than the original hydraulic model. The optimized pump head is 13.51 m, which is 0.39m more than the original hydraulic model. Under the design condition, the test measured head is 13.26m, the numerical calculation result is 1.88% higher than the test result, the test measured efficiency is 87.1%, the numerical calculation result is 2.5% higher than the test result. From the test results, the optimized impeller has higher hydraulic performance. Experiments have shown that it is feasible to optimize the design strategy.

Keywords

multi-parameter 1; multi-objective 2; genetic algorithms 3; water jet pump 4; impellers 5; optimal design 6.

Subject

Engineering, Marine Engineering

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