Assessing Turbulent Models for Flow Accelerated Corrosion Prediction in a 90-Degree Bend

Q3 Chemical Engineering
Phuris Khunphakdee, Ratchanon Piemjaiswang, Benjapon Chalermsinsuwan
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引用次数: 0

Abstract

Flow accelerated corrosion (FAC), is still prevail in power plants piping components and is driven by variables in hydrodynamics, water chemistry and material composition groups. Amongst these factors, flow hydrodynamics play a major role as FAC is a corrosion process limited by wall mass transfer rates. Computational Fluid Dynamics (CFD) have been employed to calculate mass transfer coefficient for further FAC rate assessment. However, various turbulent models have been used in literatures. In this study, CFD calculations of mass transfer coefficient in 90-degree bend are performed with different turbulent models including , , and at the Reynolds number ( ) of 90,000 and the Schmidt number ( ) of 2.53. , and models yield similar flow behaviour, while the shows the delay in the flow separation and double vortices development. The predicted mass transfer coefficients from the three models also agree with the experimental result. The outperforms the others with the maximum relative error of 14%. Although the obtained mass transfer coefficient from model shows good agreement with experimental results at the outlet part of the bend, high discrepancies exist at the inlet part.
评估用于 90 度弯道中流动加速腐蚀预测的湍流模型
流体加速腐蚀(FAC)在发电厂管道组件中仍然普遍存在,其驱动因素包括流体动力学、水化学和材料成分组中的变量。在这些因素中,流动流体力学起着重要作用,因为 FAC 是一种受管壁传质速率限制的腐蚀过程。计算流体动力学(CFD)被用来计算传质系数,以进一步评估 FAC 的速率。然而,文献中使用了各种湍流模型。本研究采用不同的湍流模型对 90 度弯管中的传质系数进行 CFD 计算,这些模型包括、、和,雷诺数( )为 90,000 且施密特数( )为 2.53。在雷诺数( )为 90,000 和施密特数( )为 2.53 的条件下,Ⅳ 和Ⅴ 模型产生了相似的流动行为,而Ⅵ 和Ⅶ 模型则显示了流动分离和双涡发展的延迟。三个模型预测的传质系数也与实验结果一致。相对误差最大为 14%。虽然模型得出的传质系数与弯管出口处的实验结果吻合,但入口处的传质系数与实验结果存在较大差异。
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来源期刊
Journal of Advanced Research in Fluid Mechanics and Thermal Sciences
Journal of Advanced Research in Fluid Mechanics and Thermal Sciences Chemical Engineering-Fluid Flow and Transfer Processes
CiteScore
2.40
自引率
0.00%
发文量
176
期刊介绍: This journal welcomes high-quality original contributions on experimental, computational, and physical aspects of fluid mechanics and thermal sciences relevant to engineering or the environment, multiphase and microscale flows, microscale electronic and mechanical systems; medical and biological systems; and thermal and flow control in both the internal and external environment.
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