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湍流模型在离心泵偏工况性能预测中的适用性分析 被引量:11

Analysis of Applicability of Turbulence Models in Performance Prediction for Centrifugal Pumps at the Off-design Conditions
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摘要 选取5个不同比转数的优秀离心泵水力模型作为研究对象,使用Fluent软件中的5种两方程湍流模型进行离心泵非设计工况下的数值计算,并将计算结果与试验值进行对比分析。研究表明:在低比转数和高比转数离心泵的非设计工况中,SST k-ω型能够得到比较小的误差,最小误差不超过1%;对于中比转数离心泵,小流量工况下,RNG k-ε模型的计算结果最接近实验值,大流量工况下,SST k-ω模型的误差最理想,其最小值为0.2%,最大值不超过4%;5种湍流模型所计算的涡量大小分布规律比较类似,但是湍流强度分布有明显区别,RNG k-ε模型在蜗壳扩散段处的湍流强度特征不是十分明显。通过分析,建议在离心泵非设计工况的数值模拟中采用SST k-ω模型。 Five excellent centrifugal pumps with differenet specific speed were selected as research models.Five two-equation turbulence models were used to calculate the inner flow of the above research pumps at the off-design conditions using Fluent Software.Lastly,comparisons were made with experimental results and the numerical results among those models.It can be concluded that for inner flow at the off-design conditions with the low specific speed and high specific speed centrifugal pump,a relative small error can be obtained by SST k-ω model with the least tolerance of less than 1%;For the medium specific speed centrifugal pumps,while the calculation results of RNG k-ε model were more closer to experimental results than others at the small flow condition,the SST k-ω model got the best results at the large flow condition,with the minimum error at 0.2% and the maximum error no more than 4%.The distributions of vorticity magnitude of five turbulence models were relatively similar,however,the distinct differences among the turbulence intensity of those models were found.The turbulence intensity at volute diffuser was invisible for RNG k-εmodel not for others.Above all,it can be suggested that SST k-ω model should be applied to simulate the inner flow at the off-design conditions in centrifugal pumps.
出处 《流体机械》 CSCD 北大核心 2012年第10期18-22,74,共6页 Fluid Machinery
基金 国家自然科学基金项目(50825902 21079062 51109095 51179075) 江苏省自然科学基金项目(BK2009006 BK20100346) 江苏省产学研前瞻性研究项目(BY201140)
关键词 湍流模型 非设计工况 离心泵 数值模拟 turbulence model off-design conditions centrifugal pump numerical simulation
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