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消能锥形阀能量耗散特性与复合式结构优化OA

Energy dissipation characteristics and compound structure optimization of energy-dissipation cone valve

中文摘要英文摘要

为研究消能锥形阀的能量耗散特性并提升其消能效果,采用计算流体动力学(CFD)数值模拟、响应面分析和非支配排序遗传算法Ⅱ(NSGA-Ⅱ)算法相结合的研究方法,探讨锥形阀的能量耗散特性,解析结构参数的耦合影响特性.研究针对锥形阀孔套直径、阀芯角度和孔径等参数,以流场熵产作为目标值进行响应面分析,采用拉丁超立方方法抽取样本,通过神经网络的LM算法拟合数据,并利用 NSGA-Ⅱ算法预测最高熵产值时的结构参数组合,最终实现锥形阀消能效果的优化.研究结果表明:阀芯角度和孔径对能量耗散的熵产值影响显著,孔套直径影响较小,但孔套直径和孔径间存在明显的耦合影响特性;优化后的结构参数组合为孔套直径 109 mm、阀芯角度42°和孔径4 mm,优化模型在不同水头下均实现了明显的熵产率提升,其中高水头工况下的提升率达 21.5%,消能系数提高 12%;优化后阀芯尾部的熵产率显著增加,阀芯尾部区域的高速扰动和涡流的能量耗散显著提升,是改进后消能锥形阀性能提升的重要原因.

To investigate the energy dissipation characteristics of the cone valve and improve its energy dissipation effect,a research method combining CFD numerical simulation,response surface analysis,and the NSGA-Ⅱ algorithm was adopted.The energy dissipation mechanism of the cone valve was ex-plored and the coupling influence characteristics of the structural parameters were analyzed.With the sleeve hole diameter,spool angle,and orifice diameter as the core factors,response surface analysis was carried out using the flow-field entropy production as the objective.Samples were extracted by the Latin hypercube method.The data were fitted via the LM algorithm of a neural network,and the NSGA-Ⅱ algorithm was employed to predict the structural parameter combination that gived the highest entropy production,thereby achieving the optimization of the cone valve's energy dissipation effect.The results show that the spool angle and the orifice diameter have a significant influence on the entropy production value of energy dissipation,while the sleeve hole diameter has a relatively small effect.However,there is a clear coupling influence characteristic between the sleeve hole diameter and the orifice diameter.The optimized structural parameters are a sleeve hole diameter of 109 mm,a spool angle of 42°,and an orifice diameter of 4 mm.The model achieves a substantial increase in entropy production rate under different water heads,with an improvement rate of 21.5%under the high-head condition and a 12%increase in the energy dissipation coefficient.After optimization,the entropy pro-duction rate at the spool tail increases significantly,and the energy dissipation caused by high-speed disturbances and vortices in the tail region of the spool is markedly enhanced,which is an important reason for the performance improvement of the modified energy-dissipation cone valve.

喻哲钦;杨文武;曾栋坪;刘锦;李志鹏

长沙理工大学能源与动力工程学院,湖南 长沙 410114长沙理工大学能源与动力工程学院,湖南 长沙 410114长沙理工大学能源与动力工程学院,湖南 长沙 410114长沙理工大学能源与动力工程学院,湖南 长沙 410114长沙理工大学能源与动力工程学院,湖南 长沙 410114

农业科技

消能锥形阀能量耗散熵产理论神经网络NSGA-Ⅱ算法响应面法

energy-dissipation cone valveenergy dissipationentropy production theoryneural networkNSGA-Ⅱ algorithmresponse surface method

《排灌机械工程学报》 2026 (9)

898-905,8

湖南省自然科学基金资助项目(2022JJ40504,2023JJ40030)

10.3969/j.issn.1674-8530.24.0112

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