Anxiang Ma , Houjian Zhao , Xiaowei Li , Xinxin Wu
{"title":"对 PANS 模拟管束上湍流横流的评估","authors":"Anxiang Ma , Houjian Zhao , Xiaowei Li , Xinxin Wu","doi":"10.1016/j.ijheatfluidflow.2024.109603","DOIUrl":null,"url":null,"abstract":"<div><div>The flow and heat transfer characteristics of turbulent cross flow over tube bundles are very complicated due to the phenomena of boundary layer separation, reattachment and wake disappearance. The method of Partially-Averaged Navier-Stokes (PANS) is considered as the bridge between Direct Numerical Simulation (DNS) and Reynolds-Averaged Navier-Stokes (RANS) and shows good prediction of separated flows with relatively lower computational resources. It may be the best choice to balance the prediction accuracy and computational resources when simulating large scale tube bundles for engineering applications. In current investigation, turbulent cross flows over in-line tube bundles are simulated with PANS method using OpenFOAM. In order to investigate the effects of unresolved-to-total kinetic energy ratio (<em>f</em><sub><em>k</em></sub>), the flow is simulated with both variable <em>f</em><sub><em>k</em></sub> and constant <em>f</em><sub><em>k</em>.</sub> The St numbers corresponding to the main frequency for the cases with <em>f</em><sub><em>k</em></sub> = 0.5, <em>f</em><sub><em>k</em></sub> = 0.25 and four <em>f</em><sub><em>k</em></sub> expressions are all 0.1411. For the cases with <em>f</em><sub><em>k</em></sub> = 0.5, <em>f</em><sub><em>k</em></sub> = 0.25 and <em>f</em><sub><em>k</em></sub> expression from <span><span>Luo et al. (2014)</span></span>, the pressure coefficient and velocity magnitude distribution agree well with the experimental data from <span><span>Xie et al. (2023)</span></span>. More small-scale structures are resolved as the <em>f</em><sub><em>k</em></sub> value decreases. The numerical results show that the PANS models are capable to predict turbulent cross flow over in-line tube bundles for engineering applications.</div></div>","PeriodicalId":335,"journal":{"name":"International Journal of Heat and Fluid Flow","volume":"110 ","pages":"Article 109603"},"PeriodicalIF":2.6000,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An assessment of PANS for simulation of turbulent cross flow over in-line tube bundles\",\"authors\":\"Anxiang Ma , Houjian Zhao , Xiaowei Li , Xinxin Wu\",\"doi\":\"10.1016/j.ijheatfluidflow.2024.109603\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The flow and heat transfer characteristics of turbulent cross flow over tube bundles are very complicated due to the phenomena of boundary layer separation, reattachment and wake disappearance. The method of Partially-Averaged Navier-Stokes (PANS) is considered as the bridge between Direct Numerical Simulation (DNS) and Reynolds-Averaged Navier-Stokes (RANS) and shows good prediction of separated flows with relatively lower computational resources. It may be the best choice to balance the prediction accuracy and computational resources when simulating large scale tube bundles for engineering applications. In current investigation, turbulent cross flows over in-line tube bundles are simulated with PANS method using OpenFOAM. In order to investigate the effects of unresolved-to-total kinetic energy ratio (<em>f</em><sub><em>k</em></sub>), the flow is simulated with both variable <em>f</em><sub><em>k</em></sub> and constant <em>f</em><sub><em>k</em>.</sub> The St numbers corresponding to the main frequency for the cases with <em>f</em><sub><em>k</em></sub> = 0.5, <em>f</em><sub><em>k</em></sub> = 0.25 and four <em>f</em><sub><em>k</em></sub> expressions are all 0.1411. For the cases with <em>f</em><sub><em>k</em></sub> = 0.5, <em>f</em><sub><em>k</em></sub> = 0.25 and <em>f</em><sub><em>k</em></sub> expression from <span><span>Luo et al. (2014)</span></span>, the pressure coefficient and velocity magnitude distribution agree well with the experimental data from <span><span>Xie et al. (2023)</span></span>. More small-scale structures are resolved as the <em>f</em><sub><em>k</em></sub> value decreases. The numerical results show that the PANS models are capable to predict turbulent cross flow over in-line tube bundles for engineering applications.</div></div>\",\"PeriodicalId\":335,\"journal\":{\"name\":\"International Journal of Heat and Fluid Flow\",\"volume\":\"110 \",\"pages\":\"Article 109603\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-10-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Heat and Fluid Flow\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0142727X2400328X\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, MECHANICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Heat and Fluid Flow","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0142727X2400328X","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
摘要
由于边界层分离、重新附着和唤醒消失等现象,管束上湍流交叉流的流动和传热特性非常复杂。部分平均纳维-斯托克斯(PANS)方法被认为是直接数值模拟(DNS)和雷诺平均纳维-斯托克斯(RANS)之间的桥梁,能以相对较低的计算资源对分离流进行良好的预测。在工程应用中模拟大规模管束时,它可能是平衡预测精度和计算资源的最佳选择。在目前的研究中,使用 OpenFOAM 的 PANS 方法模拟了在线管束上的湍流交叉流。为了研究未解决动能与总动能之比(fk)的影响,对流动进行了可变 fk 和恒定 fk 模拟。在 fk = 0.5、fk = 0.25 和四个 fk 表达式的情况下,主频对应的 St 数均为 0.1411。对于 fk = 0.5、fk = 0.25 和来自 Luo 等人(2014 年)的 fk 表达式的情况,压力系数和速度大小分布与 Xie 等人(2023 年)的实验数据非常吻合。随着 fk 值的减小,更多的小尺度结构被解析出来。数值结果表明,PANS 模型能够预测工程应用中在线管束上的湍流横流。
An assessment of PANS for simulation of turbulent cross flow over in-line tube bundles
The flow and heat transfer characteristics of turbulent cross flow over tube bundles are very complicated due to the phenomena of boundary layer separation, reattachment and wake disappearance. The method of Partially-Averaged Navier-Stokes (PANS) is considered as the bridge between Direct Numerical Simulation (DNS) and Reynolds-Averaged Navier-Stokes (RANS) and shows good prediction of separated flows with relatively lower computational resources. It may be the best choice to balance the prediction accuracy and computational resources when simulating large scale tube bundles for engineering applications. In current investigation, turbulent cross flows over in-line tube bundles are simulated with PANS method using OpenFOAM. In order to investigate the effects of unresolved-to-total kinetic energy ratio (fk), the flow is simulated with both variable fk and constant fk. The St numbers corresponding to the main frequency for the cases with fk = 0.5, fk = 0.25 and four fk expressions are all 0.1411. For the cases with fk = 0.5, fk = 0.25 and fk expression from Luo et al. (2014), the pressure coefficient and velocity magnitude distribution agree well with the experimental data from Xie et al. (2023). More small-scale structures are resolved as the fk value decreases. The numerical results show that the PANS models are capable to predict turbulent cross flow over in-line tube bundles for engineering applications.
期刊介绍:
The International Journal of Heat and Fluid Flow welcomes high-quality original contributions on experimental, computational, and physical aspects of convective heat transfer and fluid dynamics relevant to engineering or the environment, including multiphase and microscale flows.
Papers reporting the application of these disciplines to design and development, with emphasis on new technological fields, are also welcomed. Some of these new fields include microscale electronic and mechanical systems; medical and biological systems; and thermal and flow control in both the internal and external environment.