计量学报2025，Vol.46Issue(11)：1581-1590,10.DOI:10.3969/j.issn.1000-1158.2025.11.05
基于CFD模拟和多目标遗传算法的涡轮流量计结构及性能优化研究
Research on Structure and Performance Optimization of Turbine Flowmeter Based on CFD Simulation and Multi-objective Genetic Algorithm
摘要
Abstract
Aim to optimize the structure and performance of TM80 turbine flowmeter using computational fluid dynamics(CFD)simulation and multi-objective genetic algorithm is studied.Firstly,experimental tests are conducted to verify CFD numerical method,ensuring its accuracy and reliability in studying the structure and performance of flowmeter.Afterwards,CFD numerical method is applied to analyze flow characteristics in flowmeter,exploring optimization schemes for key components such as impeller,core support,and rear deflector.Finally,the performance of flowmeter is evaluated using CFD simulation and multi-objective genetic algorithm.The studies indicate that the optimized structures greatly reduce pressure loss,stabilize meter coefficient,and decrease linearity error.When the impeller blade cut angle parameter is 0.537,the core support slope is 14.263°,and the rear deflector diameter is 61.255 mm,the pressure loss is reduced by almost 53%,the meter coefficient becomes smaller and more constant,and the linearity error decreases by nearly 36%.The findings show that the optimized structure can significantly enhance the measurement performance of flowmeter.关键词
流量计量/涡轮流量计/CFD模拟/多目标遗传算法/叶轮叶片切角/表芯支座坡度/后导流体直径Key words
flow metrology/turbine flowmeter/CFD simulation/multi-objective genetic algorithm/impeller blade cut angle/core support slope/rear deflector diameter分类
通用工业技术引用本文复制引用
ZHU Mingzhi,YAN Lianzhong,LI Xuyang,ZHOU Shenghua,CHEN Shengyi,YAN Weiwei..基于CFD模拟和多目标遗传算法的涡轮流量计结构及性能优化研究[J].计量学报,2025,46(11):1581-1590,10.基金项目
浙江省自然科学基金重点项目(LZ24A020005) （LZ24A020005）
浙江省科学技术厅"尖兵领雁+X"研发攻关计划项目(2024C01228) （2024C01228）
