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The escalating environmental issues driven by energy consumption have underscored the urgent need to enhance energy efficiency across critical sectors. As widely used general-purpose power machinery, centrifugal pumps account for substantial energy consumption, making their efficiency improvement highly significant. With societal progress and the rising safety standards, pump design has evolved into a highly complex optimisation problem characterised by multi-objective, multi-parameter, and multi-component integration under nonlinear and strongly constrained conditions. Key challenges in this field include accurately predicting hydraulic performance and efficiently solving high-dimensional, nonlinear optimisation problems. The rapid development of Artificial Intelligence (AI) and Computational Intelligence (CI) offers promising solutions to address these challenges. This paper provides a comprehensive review of the application of AI and CI technologies in hydraulic optimisation of centrifugal pumps, with a focus on emerging techniques such as machine learning frameworks and intelligent algorithms. Through extensive comparative analyses, this study evaluates the advantages and limitations of intelligent methods relative to traditional optimisation approaches. The findings reveal that the integration of advanced intelligent methods with Computational Fluid Dynamics (CFD) has been widely demonstrated to improve the accuracy, effectiveness, and adaptability of centrifugal pump optimisation. Additionally, this paper discusses the current limitations of intelligent methods in pump optimisation and identifies promising future directions, such as accelerating hydraulic performance predictions using deep neural networks or physics-informed neural networks. These advancements are anticipated to enhance the scalability, efficiency, and performance of hydraulic optimisation, facilitating the development of innovative, high-performance centrifugal pumps. Ultimately, such progress will contribute to more sustainable and reliable energy utilisation in diverse industrial applications.Highlights Comprehensive review of AI and CI applications in centrifugal pump hydraulic optimisation.Analysis of machine learning methods for predictive modelling and optimisation.Insights into integrating intelligent algorithms with CFD for high-dimensional, multi-objective optimisation.Identification of future research directions to enhance precision and efficiency in pump design methodologies.
Xu et al. (Mon,) studied this question.
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