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Flow measurement and parameter optimization of right-angled flow passage in hydraulic manifold block 被引量:7

液压集成块直角转弯流道的流动测量及参数优化(英文)
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摘要 This study was conducted to investigate the flow field characteristics of right-angled flow passage with various cavities in the typical hydraulic manifold block.A low-speed visualization test rig was developed and the flow field of the right-angled flow passage with different cavity structures was measured using 2D-PIV technique.Numerical model was established to simulate the three-dimensional flow field.Seven eddy viscosity turbulence models were investigated in predicting the flow field by comparing against the particle image relocimetry(PIV)measurement results.By defining the weight error function K,the S-A model was selected as the appropriate turbulence model.Then,a three-factor,three-level response surface numerical test was conducted to investigate the influence of flow passage connection type,cavity diameter and cavity length-diameter ratio on pressure loss.The results show that the Box-Benhnken Design(BBD)model can predict the total pressure loss accurately.The optimal factor level appeared in flow passage connection type II,14.64 mm diameter and 67.53%cavity length-diameter ratio.The total pressure loss decreased by 11.15%relative to the worst factor level,and total pressure loss can be reduced by 64.75%when using an arc transition right-angled flow passage,which indicates a new direction for the optimization design of flow passage in hydraulic manifold blocks. 本文研究了典型液压集成块中具有不同刀尖角容腔的直角流道的流场特征。搭建了低速可视化试验台,采用2D-PIV技术测量了具有不同刀尖角容腔结构的直角流道流场。建立了全三维数值模型并开展数值模拟研究,通过与粒子图像测量(PIV)测量结果进行比较,比较了七种湍流模型在流场预测中的准确性。通过定义权重误差函数K,筛选出,S-A模型作为合适的湍流模型。通过3因素3水平响应面数值试验,研究了流道连接类型、容腔直径和容腔长径比对压力损失的影响。结果表明,Box-Benhnken Design(BBD)模型可以准确预测总压力损失。最优模型是Ⅱ型流道连接,直径为14.64mm,容腔长径比为67.53%,总压力损失相对于最差模型可下降11.15%。如能进一步采用圆弧型直角转弯流道,总压力损失可降低64.75%,这为液压集成块流道优化设计提供了新的方向。
作者 HU Jian-jun CHEN Jin QUAN Ling-xiao KONG Xiang-dong 胡建军;陈进;权凌霄;孔祥东(School of Mechanical Engineering, Yanshan University;School of Civil Engineering and Mechanics, Yanshan University;Engineering Research Center of Advanced Forging & Stamping Technology and Science Built by Central Government and Local Government, Yanshan University)
出处 《Journal of Central South University》 SCIE EI CAS CSCD 2019年第4期852-864,共13页 中南大学学报(英文版)
基金 Projects(51705446,51890881) supported by the National Natural Science Foundation of China
关键词 flow measurement particle image relocimetry right-angled flow passage parameter optimization 流量测量 粒子图像测量(PIV) 直角流道 参数优化
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