流体机械2023，Vol.51Issue(11)：86-92,7.DOI:10.3969/j.issn.1005-0329.2023.11.013
融合仿真模型与数据的水下节流阀冲蚀速率预测方法
A combined simulation model and data methodology for erosion rate prediction of underwater throttle valve
摘要
Abstract
In order to solve the problem of inaccurate erosion rate prediction due to the interaction between the throttle valve and the fluid containing solid sand particles in the underwater production system during the erosion process,a method combining numerical simulation and experimental data was proposed.Firstly,the change characteristics of the surface profile of the test sample are obtained through erosion experiments,and finite element models under different erosion times are established;Then,in the ANSYS FLUENT simulation environment,combining the finite element model,two-phase flow model,and erosion model,simulation experiments were conducted to obtain the erosion rates of underwater throttle valves at different time scales and surface topography,and the erosion rates and flow field pressures of underwater throttle valves were analyzed;Finally,using RBF neural network to perform function fitting on the erosion simulation data of underwater throttle valves,a prediction model for erosion rate of underwater throttle valves is established that integrates the dynamic evolution of erosion degradation.The results show that the accuracy of the established prediction model for erosion rate of underwater throttle valves based on numerical models and data is improved compared to traditional erosion rate prediction models.关键词
水下节流阀/冲蚀/数值模拟/动态演变Key words
underwater throttle valve/erosion/numerical simulation/dynamic evolution分类
机械制造引用本文复制引用
李泽华,王泓晖,赵天昊,田晓洁,刘贵杰..融合仿真模型与数据的水下节流阀冲蚀速率预测方法[J].流体机械,2023,51(11):86-92,7.基金项目
国家重点研究发展计划项目(2019YFE0105100) （2019YFE0105100）
