Evaluation of several liquid–vapor phase change models for numerical simulation of subcooled flow boiling

The phase change model has recently attracted attention for use in flow-boiling numerical simulation research. Comparison and evaluation of the calculation accuracies and resource consumptions of phase change models are essential for developing an efficient and high-precision phase change model. In...

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Main Authors: Zheng Liu, Zhiyi Yu, Weihua Sun, Ke Zhang
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:Case Studies in Thermal Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X23003635
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author Zheng Liu
Zhiyi Yu
Weihua Sun
Ke Zhang
author_facet Zheng Liu
Zhiyi Yu
Weihua Sun
Ke Zhang
author_sort Zheng Liu
collection DOAJ
description The phase change model has recently attracted attention for use in flow-boiling numerical simulation research. Comparison and evaluation of the calculation accuracies and resource consumptions of phase change models are essential for developing an efficient and high-precision phase change model. In this study, the Dong and Chen models, were added to the FLUENT software as two new models by introducing a unique user-defined function (UDF). The two unique models and the Lee model served as the foundation for numerical research, and the values of dependabilities and properties for flow and heat transmission predicted by these models were compared. Visual studies and flow-boiling heat transfer correlations were used to validate the results. The results reveal that the Chen model, which considers the active nucleation density site of bubbles, has a significant advantage over the other two models in terms of predicting flow characteristics. The Lee and Dong models are better suited for forecasting the changing tendency of the heat transfer coefficient, whereas the values obtained with the Chen model are closer to the reference values for the Liu–Winterton correlation. Besides, the two novel models also have higher computational costs.
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spelling doaj.art-aa3035239e45478b9162ac690c7a53752023-06-09T04:27:58ZengElsevierCase Studies in Thermal Engineering2214-157X2023-07-0147103057Evaluation of several liquid–vapor phase change models for numerical simulation of subcooled flow boilingZheng Liu0Zhiyi Yu1Weihua Sun2Ke Zhang3School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, ChinaSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, China; State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing, 100084, China; Corresponding author. School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, China.School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, ChinaSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, ChinaThe phase change model has recently attracted attention for use in flow-boiling numerical simulation research. Comparison and evaluation of the calculation accuracies and resource consumptions of phase change models are essential for developing an efficient and high-precision phase change model. In this study, the Dong and Chen models, were added to the FLUENT software as two new models by introducing a unique user-defined function (UDF). The two unique models and the Lee model served as the foundation for numerical research, and the values of dependabilities and properties for flow and heat transmission predicted by these models were compared. Visual studies and flow-boiling heat transfer correlations were used to validate the results. The results reveal that the Chen model, which considers the active nucleation density site of bubbles, has a significant advantage over the other two models in terms of predicting flow characteristics. The Lee and Dong models are better suited for forecasting the changing tendency of the heat transfer coefficient, whereas the values obtained with the Chen model are closer to the reference values for the Liu–Winterton correlation. Besides, the two novel models also have higher computational costs.http://www.sciencedirect.com/science/article/pii/S2214157X23003635Phase change modelEvaluationFlow boilingHeat transferNumerical simulation
spellingShingle Zheng Liu
Zhiyi Yu
Weihua Sun
Ke Zhang
Evaluation of several liquid–vapor phase change models for numerical simulation of subcooled flow boiling
Case Studies in Thermal Engineering
Phase change model
Evaluation
Flow boiling
Heat transfer
Numerical simulation
title Evaluation of several liquid–vapor phase change models for numerical simulation of subcooled flow boiling
title_full Evaluation of several liquid–vapor phase change models for numerical simulation of subcooled flow boiling
title_fullStr Evaluation of several liquid–vapor phase change models for numerical simulation of subcooled flow boiling
title_full_unstemmed Evaluation of several liquid–vapor phase change models for numerical simulation of subcooled flow boiling
title_short Evaluation of several liquid–vapor phase change models for numerical simulation of subcooled flow boiling
title_sort evaluation of several liquid vapor phase change models for numerical simulation of subcooled flow boiling
topic Phase change model
Evaluation
Flow boiling
Heat transfer
Numerical simulation
url http://www.sciencedirect.com/science/article/pii/S2214157X23003635
work_keys_str_mv AT zhengliu evaluationofseveralliquidvaporphasechangemodelsfornumericalsimulationofsubcooledflowboiling
AT zhiyiyu evaluationofseveralliquidvaporphasechangemodelsfornumericalsimulationofsubcooledflowboiling
AT weihuasun evaluationofseveralliquidvaporphasechangemodelsfornumericalsimulationofsubcooledflowboiling
AT kezhang evaluationofseveralliquidvaporphasechangemodelsfornumericalsimulationofsubcooledflowboiling