摘要
为研究不同湍流模型对混流泵外特性预测的影响，选取了一比转数为465的混流泵模型，基于SIMPLEC算法与非结构化四面体网格，通过选取标准k-ε、RNGk-ε、k-ε、SSTk-ω等湍流模型进行了数值计算。预测了扬程系数、效率和轴功率，与试验数据进行了对比，并分析了压力与相对速度分布。研究表明，基于4种湍流模型预测的性能曲线与试验数据的变化趋势基本一致。基于标准k-ε与RNGk-ε模型预测的结果较为接近，而基于k-ω与SSTk-ω模型预测的结果较为接近。对于扬程系数和效率而言，在（0．6～0．9）Qd下，k-ω与SSTk-ω模型预测更为准确，在（0．9～1．3）Qd下，标准k-ε与RNGk-ε模型预测更为准确。针对本文设计的混流泵模型，在（0．7-0．9）Qd下选用k-ω模型，在（0．9～1．2）Qd下选用标准k-ε模型，则可确保性能预测精度在±5％范围内，满足工程计算的要求。
In order to study the influences of different turbulence models on the hydraulic performance prediction of the mixed-flow pump, the mixed-flow pump model with a specific speed of 465 was selected and numerical calculation was processed by employing the standard k-ε, RNG k-ε, k-to, SST k-to turbulence models respectively based on SIMPLEC algorithm and unstructured tetrahedral grids. The head coefficient, the efficiency and the shaft power were predicted by the simulation and then compared with the test data. In addition, the pressure and the relative velocity distributions were also analyzed. The results showed that the performance curves predicted based on the four selected turbulence models had basically consistent trends with the test data curves. Among the obtained results, the prediction results based on the standard k -ε and RNG k - ε model were more close to each other and the prediction results based on the k-ω and SST k-ω model were more close to each other. For the head coefficient and the efficiency, the prediction results based on the k - to and SST k - to model were more accurate under （0.6 - 0.9） Qd and the prediction results based on the standard k - 8 and RNG k - ε model were more accurate under （0.9 - 1.3） Qd· For the mixed-flow pump model designed, it could be ensured that the performance prediction accuracy was within ± 5% , which could meet the requirements of engineering calculation, by choosing k - ω model under （0.7 - 0.9） Qd and the standard k - ε model under （0.9 - 1.2）Qd.
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2013年第11期42-47,共6页
Transactions of the Chinese Society for Agricultural Machinery
基金
国家自然科学基金资助项目(51176088)
关键词
混流泵
湍流模型
性能预测
数值模拟
Mixed-flow pump Turbulence model Performance prediction Numerical simulation
