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基于PSO算法的低比轉(zhuǎn)數(shù)沖壓離心泵水力性能多目標(biāo)優(yōu)化
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國家自然科學(xué)基金項目(51976193)


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

    針對低比轉(zhuǎn)數(shù)沖壓離心泵水力性能偏低問題,以CDL1型多級沖壓離心泵葉輪為研究對象,結(jié)合數(shù)值模擬和試驗測試方法,對首級葉輪的水力性能進行分析。由于低比轉(zhuǎn)數(shù)沖壓離心泵葉輪水力性能受多個因素影響,本文使用拉丁超立方方法對首級葉輪各設(shè)計變量進行抽樣形成樣本空間并獲得相應(yīng)性能參數(shù),進而建立Kriging代理模型分析各參數(shù)對葉輪水力性能的敏感性,選定葉輪關(guān)鍵影響參數(shù)為粒子群算法(PSO)輸入,對多參數(shù)進行優(yōu)化設(shè)計,在此基礎(chǔ)上探究葉輪的水力性能和內(nèi)流機制。結(jié)果表明,優(yōu)化后的葉輪水力性能優(yōu)于原始設(shè)計,最高效率點效率提升2.8個百分點,單級揚程提高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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鄭水華,趙學(xué)燕,章程,李奕良,柴敏.基于PSO算法的低比轉(zhuǎn)數(shù)沖壓離心泵水力性能多目標(biāo)優(yōu)化[J].農(nóng)業(yè)機械學(xué)報,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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  • 在線發(fā)布日期: 2025-05-10
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