摘要
为降低轴流式止回阀的流阻系数,本研究设计了基于遗传粒子群算法的减阻优化方法。首先,在分析轴流式止回阀原理后,从阀瓣、导流罩、阀体流道型线三个角度,设计相关优化参数,再利用遗传粒子群算法实现参数迭代寻优,得到最后的设计参数。实验表明:当流体平均流速在7 m/s时,应用该方法可以使流阻系数降至0.45,说明该方法实现了设计预期。
In order to reduce the flow resistance coefficient of axial check valve,the optimization method based on genetic particle swarm algorithm is designed.First of all,after analyzing the principle of axial flow check valve,the relevant optimization parameters are designed from three angles of valve disc,guide cover and valve body flow channel line,and then the genetic particle swarm algorithm is used to obtain the final design parameters.The experiment show that when the average flow rate is 7 m/s,the flow resistance coefficient can be reduced to 0.45,indicating that the method achieves the design expectation.
作者
张晓忠
ZHANG Xiaozhong(Baoyi Group Co.,Ltd.,Wenzhou 325000,China)
出处
《科技创新与生产力》
2025年第4期96-98,共3页
Sci-tech Innovation and Productivity
关键词
轴流式止回阀
参数设计
流阻系数
遗传粒子群算法
axial flow check valve
parameter design
flow resistance coefficient
genetic particle swarm algorithm
