基于PSO算法的低比转数冲压离心泵水力性能多目标优化
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国家自然科学基金项目(51976193)


Multi-objective Otimization of Hydraulic Performance of Low Specific Speed Stamp Pump Impeller Based on PSO Algorithm
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    摘要:

    针对低比转数冲压离心泵水力性能偏低问题,以CDL1型多级冲压离心泵叶轮为研究对象,结合数值模拟和试验测试方法,对首级叶轮的水力性能进行分析。由于低比转数冲压离心泵叶轮水力性能受多个因素影响,本文使用拉丁超立方方法对首级叶轮各设计变量进行抽样形成样本空间并获得相应性能参数,进而建立Kriging代理模型分析各参数对叶轮水力性能的敏感性,选定叶轮关键影响参数为粒子群算法(PSO)输入,对多参数进行优化设计,在此基础上探究叶轮的水力性能和内流机制。结果表明,优化后的叶轮水力性能优于原始设计,最高效率点效率提升2.8个百分点,单级扬程提高0.4m。

    Abstract:

    Aiming to address the issue of low hydraulic performance in low-specific-speed stamping centrifugal pumps, focusing on the CDL1 multi-stage stamping centrifugal pump, using its first-stage impeller as the research object, by combining numerical simulation and experimental testing methods, a comprehensive analysis of the hydraulic performance of the first-stage impeller was conducted. Given that the hydraulic performance of low-specific-speed impellers was influenced by multiple factors, Latin hypercube sampling (LHS) was employed to sample various design variables of the first-stage impeller, forming a sample space and obtaining the corresponding performance parameters. A Kriging surrogate model was then established to analyze the sensitivity of each parameter to the hydraulic performance of the impeller. The critical influence parameters of the impeller were selected as the input for the particle swarm optimization algorithm (PSO), and multi-parameter optimization design was carried out. On this basis, the hydraulic performance and internal flow mechanism of the impeller were investigated in depth. The results showed that the hydraulic performance of the optimized impeller was significantly improved compared with the original design, with the efficiency at the rated point increased by 2.8 percentage points and the single-stage head increased by 0.4m. Additionally, the optimization process revealed that the impeller’s blade angle, inlet and outlet diameters, and blade thickness were the most sensitive parameters affecting hydraulic performance. The improved design not only significantly enhanced the overall efficiency and head but also optimized the flow distribution, reduced turbulence, minimized energy losses, improved fluid dynamics, and increased operational stability, leading to better performance, reliability, and long-term durability in practical applications.

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郑水华,赵学燕,章程,李奕良,柴敏.基于PSO算法的低比转数冲压离心泵水力性能多目标优化[J].农业机械学报,2025,56(5):353-360. ZHENG Shuihua, ZHAO Xueyan, ZHANG Cheng, LI Yiliang, CHAI Min. Multi-objective Otimization of Hydraulic Performance of Low Specific Speed Stamp Pump Impeller Based on PSO Algorithm[J]. Transactions of the Chinese Society for Agricultural Machinery,2025,56(5):353-360.

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  • 收稿日期:2024-12-13
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  • 在线发布日期: 2025-05-10
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