Pipat Tansakul, Thanabodee Sinpo, Phongsakorn Thawornsathit, V. Juntasaro, E. Juntasaro
{"title":"Numerical Investigation of Two Double Swirl/Vortex Chamber Configurations for Turbine Blade Leading Edge Cooling","authors":"Pipat Tansakul, Thanabodee Sinpo, Phongsakorn Thawornsathit, V. Juntasaro, E. Juntasaro","doi":"10.4186/ej.2021.25.12.63","DOIUrl":null,"url":null,"abstract":"The objective of this work is to numerically assess the cooling performance of two double swirl/vortex chamber configurations (DSC and M-DVC). The predictive capability of five turbulence models is critically evaluated on fine and good-quality mesh for impinging and swirling flows. The averaged second norm 2 L is employed to quantitatively measure the simulation error from each turbulence model compared to the experimental data. The RNG k − turbulence model with enhanced wall treatment is found to be the most accurate and suitable for the simulation of impinging and swirling flows. Various key physical and dimensionless parameters, including thermal performance factor, turbulence kinetic energy and vorticity, are used to comparatively assess the cooling performance of DSC and M-DVC under the laboratory testing condition and the real operating condition at base load. The results reveal that DSC can enhance better heat transfer due to higher turbulence kinetic energy. Also, much more uniform Nusselt number distribution is obtained by DSC owing to more symmetric and uniformly distributed velocity and vorticity. With the real operating condition, DSC even performs much better than M-DVC.","PeriodicalId":32885,"journal":{"name":"AlKhawarizmi Engineering Journal","volume":"34 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AlKhawarizmi Engineering Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4186/ej.2021.25.12.63","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The objective of this work is to numerically assess the cooling performance of two double swirl/vortex chamber configurations (DSC and M-DVC). The predictive capability of five turbulence models is critically evaluated on fine and good-quality mesh for impinging and swirling flows. The averaged second norm 2 L is employed to quantitatively measure the simulation error from each turbulence model compared to the experimental data. The RNG k − turbulence model with enhanced wall treatment is found to be the most accurate and suitable for the simulation of impinging and swirling flows. Various key physical and dimensionless parameters, including thermal performance factor, turbulence kinetic energy and vorticity, are used to comparatively assess the cooling performance of DSC and M-DVC under the laboratory testing condition and the real operating condition at base load. The results reveal that DSC can enhance better heat transfer due to higher turbulence kinetic energy. Also, much more uniform Nusselt number distribution is obtained by DSC owing to more symmetric and uniformly distributed velocity and vorticity. With the real operating condition, DSC even performs much better than M-DVC.
本工作的目的是数值评估两种双旋流/涡室配置(DSC和M-DVC)的冷却性能。在高质量的网格上对五种湍流模型的预测能力进行了严格的评价。采用平均秒范数2l定量测量各湍流模型与实验数据的模拟误差。采用增强壁面处理的RNG k -湍流模型是最准确的,适合于模拟撞击流和旋流。利用热性能因子、湍流动能、涡量等关键物理参数和无因次参数,对比评价了DSC和M-DVC在实验室测试工况和基本负荷实际工况下的制冷性能。结果表明,由于湍流动能较大,DSC能较好地促进换热。此外,由于速度和涡量分布更加对称和均匀,DSC得到的努塞尔数分布更加均匀。在实际运行条件下,DSC的性能甚至比M-DVC要好得多。