化工学报2023，Vol.74Issue(11)：4587-4599,13.DOI:10.11949/0438-1157.20230993
多级螺旋分离器结构优化设计与性能分析
Optimal design and performance analysis of multi-stage spiral separator
摘要
Abstract
In order to solve the problem of the complicated process of downhole oil-water separation hydrocyclones connection in parallel,a new structure of multi-stage spiral separator is proposed based on the principle of tandem hydrocyclone separation.Response surface method combined with computational fluid dynamics is used to build a mathematical relationship model between the structural parameters and the separation efficiency of a multi-stage spiral separator,resulting in an optimal structural parameter,and systematically explored the optimal structural model within a certain range.The separation performance changes corresponding to different inlet flow rates,oil phase volume fractions and split ratios.Indoor separation performance experiments are conducted to verify the accuracy of numerical simulation results and the efficiency of optimization results.The results showed that the optimized structure could increase the separation efficiency from 91.0%to 96.2%.Comparison of separation performance at different inlet flow rates,the optimal inlet flow rate of 2.5 m3/h was obtained;within a certain range,with the increase of oil phase volume fraction and overflow split ratio,the separation efficiency showed a tendency of increasing and then decreasing,of which the simulated efficiency could reach up to 99.72%,and the experimental efficiency could reach up to 97.70%,which further verified the reliability of the simulation results and the efficiency of optimization results.关键词
旋流分离/油水分离/数值模拟/优化设计/分离性能/计算流体力学Key words
hydrocyclone separation/oil-water separation/numerical simulation/optimal design/separation performance/computational fluid dynamics分类
化学化工引用本文复制引用
邢雷,苗春雨,蒋明虎,赵立新,李新亚..多级螺旋分离器结构优化设计与性能分析[J].化工学报,2023,74(11):4587-4599,13.基金项目
国家自然科学基金区域创新发展联合基金重点支持项目(U21A20104) （U21A20104）
国家自然科学基金青年基金项目(52304064) （52304064）
中国博士后科学基金项目(2023M730481) （2023M730481）
黑龙江省自然科学基金项目(LH2022E017) （LH2022E017）
