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液压滑阀V型节流槽气穴流仿真分析及结构优化研究
引用本文:孙泽刚,肖世德,王德华,许明恒. 液压滑阀V型节流槽气穴流仿真分析及结构优化研究[J]. 兵工学报, 2015, 36(2): 345-354. DOI: 10.3969/j.issn.1000-1093.2015.02.023
作者姓名:孙泽刚  肖世德  王德华  许明恒
作者单位:(1.西南交通大学 机械工程学院, 四川 成都 610031; 2.四川理工学院 机械工程学院, 四川 自贡 643000;
基金项目:国家重大科技专项,四川省科技计划项目,过程装备与控制四川省高校重点实验室项目
摘    要:利用Fluent软件的mixture混合模型及RNG κ-ε湍流模型对液压滑阀V型节流槽气穴流动进行模拟分析。通过动网格分析发现V型节流槽在小开度及大开度情况下气穴发生的位置及大小均不同。通过模拟分析发现,结构参数中节流槽楔形角W、节流槽夹角D对节流槽气穴流动的影响明显。根据V型节流槽气穴模拟分析结果,以参数W、D为自变量,以V型节流槽气体体积分数最大值为目标值,以Gauss函数为相关函数,采用常数回归模型,分别得到在小开度及大开度情况下的Kriging代理模型。利用改进遗传算法对Kriging近似代理模型进行优化计算,得到的优化V型节流槽结构抑制气穴性能明显。

关 键 词:流体力学   液压滑阀   气穴流   V型节流槽   Kriging代理模型  
收稿时间:2014-04-08

Cavitation Flow Simulation and Structural Optimization of Hydraulic Spool Valve V-throttle Groove
SUN Ze-gang,XIAO Shi-de,WANG De-hua,XU Ming-heng. Cavitation Flow Simulation and Structural Optimization of Hydraulic Spool Valve V-throttle Groove[J]. Acta Armamentarii, 2015, 36(2): 345-354. DOI: 10.3969/j.issn.1000-1093.2015.02.023
Authors:SUN Ze-gang  XIAO Shi-de  WANG De-hua  XU Ming-heng
Affiliation:(1.School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, Sichuan, China;2.School of Mechanical Engineering, Sichuan University of Science and Engineering, Zigong 643000, Sichuan, China;3.Sichuan Chengjian Hydraulic Parts Limited Liability Company, Luzhou 646006, Sichuan, China)
Abstract:The cavitation flow of hydraulic spool valve V-throttle groove is simulated analyzed using the hybrid mixture model based on Fluent software and standard κ-ε turbulence model. The position and size of cavitation in V-throttle groove are different no matter how the opening is small or large. The obvious effects of structural parameters W and D on the cavitation flow of the V-throttle groove are found through dynamic mesh simulation analysis. According to above V-throttle simulation result, the Kriging agent model is established using constant regression model by taking the parameters W and D as independent variables and the maximum value of the gas volume fraction of V-throttle groove as target value, and Gauss function as correlation function. The Kriging agent model for the small or large opening is solved by using improved genetic algorithm, and the optimal V-throttle structure can restrain the cavitation performance significantly.
Keywords:fluid mechanics  hydraulic spool valve  cavitation flow  V-throttle  Kriging agent model
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