摘要
液压控制阀阀芯节流槽的结构对阀的动态特性影响强烈,不良节流槽结构将导致极大的液压阀开启瞬间压力冲击。针对某型号负载敏感多路阀在甘蔗联合收割机的应用中出现啸叫和液压冲击的问题,结合动网格与RNG-k-ε湍流模型,对U+T型节流槽和V型节流槽的压力冲击及空化进行了对比分析,发现同等条件下V型槽的阀芯较U+T型槽的阀芯的压力冲击下降了19.37%,最大空化程度降低了43.7%。选取V型节流槽开展进一步研究,通过正交试验获取不同节流槽结构参数下的压力峰值;采用BP神经网络建立V型节流槽结构参数与压力冲击的代理模型,结合灰狼优化(GWO)算法得到节流槽结构参数的最优配置;依据优化结果制作阀芯并进行试验,结果显示,抑制压力冲击效果显著,系统压力超调下降至原来52.4%。
Structure of throttling groove in hydraulic control valve core strongly affects dynamic characteristics of valve,and a poor throttling groove structure causes significant pressure impact at moment of hydraulic valve opening.Here,aiming at problems of whistling and hydraulic impact in applying a certain type of load sensitive multi-way valve for sugarcane combine harvesters,combining dynamic grid and RNG-k-ε turbulence model,pressure impact and cavitation of U+T-type throttling groove and V-type throttling groove were analyzed contrastively.It was shown that under the same conditions,pressure impact of V-type groove valve core decreases by 19.37% compared to that of U+T-type groove valve core,and the maximum cavitation degree decreases by 43.7%.V-type throttling groove was chosen for further study to obtain pressure peak values under different throttling groove structural parameters using orthogonal tests.Using BP neural network to establish a surrogate model for structural parameters and pressure impact of V-type throttling groove.Grey wolf optimization(GWO)algorithm was used to obtain the optimal configuration of throttling groove structural parameters.Based on the optimization results,the valve core was made and tested.The results showed that the pressure impact suppressing effect is significant,and the system pressure overshoot drops to 52.4% of the original value.
作者
陈远玲
欧阳崇钦
彭卓
陈承宗
石浩
王梦乔
CHEN Yuanling;OUYANG Chongqin;PENG Zhuo;CHEN Chengzong;SHI Hao;WANG Mengqiao(School of Mechanical Engineering,Guangxi University,Nanning 530004,China)
出处
《振动与冲击》
EI
CSCD
北大核心
2024年第7期50-56,66,共8页
Journal of Vibration and Shock
基金
国家自然科学基金项目(51665004)。
关键词
流场仿真
BP代理模型
灰狼优化(GWO)算法
节流槽优化
冲击抑制
computational fluid dynamics(CFD)
BP surrogate model
gray wolf optimization(GWO)algorithm
optimization of throttling groove
impact suppression
