摘要
以TM80型涡轮流量计为研究对象,采用计算流体力学(CFD)模拟和多目标遗传算法对涡轮流量计的结构及性能进行优化研究。首先,通过实验测试对CFD方法进行验证,确保CFD方法用于研究涡轮流量计结构及性能的准确性和可靠性;然后,应用CFD方法对流量计内部的流场特征进行模拟分析,探索出流量计的关键部位叶轮、表芯支座以及后导流体的结构优化方案;最后,利用CFD模拟和多目标遗传算法对流量计的性能进行评价。研究表明:结构优化后的流量计的压力损失显著降低、仪表系数更加稳定、线性度误差明显变小。当叶轮叶片切角参数为0.537、表芯支座坡度为14.263°、后导流体直径为61.255 mm时,流量计的压力损失降低约53%,仪表系数变小且趋向恒定,线性度误差减小约36%,涡轮流量计的计量性能明显提升。
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.
作者
祝铭志
颜廉忠
李旭阳
周盛华
陈盛亿
严微微
ZHU Mingzhi;YAN Lianzhong;LI Xuyang;ZHOU Shenghua;CHEN Shengyi;YAN Weiwei(College of Energy Environment and Safety Engineering,China Jiliang University,Hangzhou,Zhejiang 310018,China;Tix Technology Group Lishui Fluid Equipment Co.Ltd,Lishui,Zhejiang 323006,China)
出处
《计量学报》
北大核心
2025年第11期1581-1590,共10页
Acta Metrologica Sinica
基金
浙江省自然科学基金重点项目(LZ24A020005)
浙江省科学技术厅“尖兵领雁+X”研发攻关计划项目(2024C01228)。
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
flow metrology
turbine flowmeter
CFD simulation
multi-objective genetic algorithm
impeller blade cut angle
core support slope
rear deflector diameter