杨伟刚;蒋博彦;赵康发;王军;李斌;
YANG Wei-gang;JIANG Bo-yan;ZHAO Kang-fa;WANG Jun;LI Bin;Huazhong University of Science & Technology;Integrated Zhejiang Province Key Laboratory of Health Smart Kitchen System;

• 1:华中科技大学
• 2:浙江省健康智慧厨房系统集成重点实验室

摘要(Abstract)：

在FLUENT 15.0软件中分别采用Spalart-Allmaras、Realizableκ-ε和SSTκ-ω3种湍流模型对多翼离心风机的气动性能及内流场进行稳态计算,并将数值计算结果与PIV试验所得数据进行对比分析。结果表明:在大流量Q>0.6 QBEP工况下,3种湍流模型的性能预测均较为准确,其中SSTκ-ω模型预测精度最高,Spalart-Allmaras次之;在流量Q<0.6 QBEP工况下,3种湍流模型的性能预测均存在较大偏差。内部流动模拟方面,在最高效率点QBEP,SSTκ-ω模型能较好捕捉旋涡位置和速度梯度,其它2种模型表现相当。
The three-dimensional steady-state numerical simulation is carried out to compute the external characteristics and inner flow fields of the three turbulence models Spalart-Allmaras,Realizable κ-ε and SST κ-ω. And comparing the numerically computing performance and flow field information with aerodynamic performance and PIV experimental data. The results show that the three turbulence models are in good agreement with the experiment in the stable workspace. The SST κ-ω model has the highest precision,and followed by Spalart-Allmaras. In the low flow-rateregion,there is a large deviation among the three performance prediction. For the inner flow field state,the SST κ-ω model behaves best in capturing the swirl position and the velocity gradient of the flow field. The other two models show quite.

关键词(KeyWords)： 多翼离心风机;气动性能;PIV;湍流模型;多面体网格;数值模拟
multi-bladecentrifugal fan;aerodynamic performance;PIV;turbulence model;polyhedral mesh;numerical simulation

Abstract:

Keywords:

基金项目(Foundation): 中国南方智谷引进创新团队项目(2013CXTD01)

作者(Author): 杨伟刚;蒋博彦;赵康发;王军;李斌;
YANG Wei-gang;JIANG Bo-yan;ZHAO Kang-fa;WANG Jun;LI Bin;Huazhong University of Science & Technology;Integrated Zhejiang Province Key Laboratory of Health Smart Kitchen System;

Email:

DOI:

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