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迷宫流道流阻特性研究与优化设计

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迷宫流道流阻特性的设计是迷宫式调节阀实现节流减压的关键.然而,迷宫流道结构较为复杂,流动介质中的沉积物易导致迷宫流道堵塞,影响节流减压性能.对迷宫流道的流阻性能和抗堵塞性能进行研究,分析不同结构迷宫流道的流场与颗粒运移规律,并优选特斯拉形作为基础迷宫流道结构.通过正交试验设计,阐明了特斯拉形流道结构参数与流阻系数、颗粒通过时间之间的影响关系,并建立多元非线性回归模型.采用基于NSGA-Ⅱ的多目标优化算法,以流阻系数最大、颗粒通过时间最小为优化目标进行高流阻低堵塞迷宫流道优化设计.结果表明:特斯拉形迷宫流道宽度和深度的减小可以增大流阻系数,出口段长度的减小可以降低颗粒通过时间;优化后特斯拉形迷宫流道流阻系数提高了 55.3%,颗粒通过时间降低了1.58%,有效的提升了流阻特性和抗堵塞性能.
Research and Optimization Design of Flow Resistance Characteristics of Labyrinth Channel
The design of flow resistance characteristics of labyrinth channel is the key to achieving throttling and pressure reduction in labyrinth adjusting valve.However,the structure of the labyrinth channel is complex,and particle in the fluid can easily lead to clogging of the channel,affecting the throttling and pressure reducing performance.The flow resistance and anti-clogging performance of channels are studied,and the flow field and particle transport laws of different channels are analyzed.The Tesla-shaped is selected as the basic maze channel structure.Through orthogonal experimental design,the relationship between the structure parameters of Tesla-shaped channel and flow resistance coefficient and particle passing time is elucidated,and a multiple nonlinear regression model is established.Multi-objective optimization algorithm based on NSGA-Ⅱ is used and the optimization design of labyrinth channel with high flow resistance and low clogging rate is carried out with the maximum flow resistance coefficient and the minimum particle passing time as the optimization objectives.The results show that reducing the width and depth of the Tesla-shaped channel can increase the flow resistance coefficient,reducing the length of the outlet section can decrease the particle passing time.After optimization,the flow resistance coefficient of the Tesla-shaped channel is increased by 55.3%,and the particle passing time is decreased by 1.58%,effectively improving the flow resistance characteristics and anti-clogging performance.

labyrinth channelflow resistance characteristicanti-cloggingnumerical simulationmulti-objective optimization

高原、甘润林、任甲辉、赵祉昕、高隆隆、李宝仁

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华中科技大学机械科学与工程学院FESTO气动中心,湖北武汉 430074

迷宫流道 流阻特性 抗堵塞 数值模拟 多目标优化

国家自然科学基金

51705164

2024

液压与气动
北京机械工业自动化研究所

液压与气动

CSTPCD北大核心
影响因子:0.453
ISSN:1000-4858
年,卷(期):2024.48(10)