陈敬东,高蓬辉,郭晓超,石磊

• 1:中国矿业大学力学与土木工程学院
• 2:清华大学建筑学院
• 3:浙江路特能源科技股份有限公司

摘要(Abstract)：

降膜换热器内水平管间形成的不同流型会对换热器的传热、传质性能产生影响。为准确预测管间不同流型转变的问题，文中设计并搭建了水平二维肋管间降膜流动系统，基于实验结果，采用机器学习的研究方法，建立了综合考虑管间距和肋结构影响因素的管间流型预测模型。研究结果表明，该模型预测值与实验值之间的偏差可以控制在±20%以内；相较于文献中的传统模型，机器学习模型在预测准确性方面展现出显著优势。研究成果为后续降膜流型预测模型的发展提供了新的参考依据。

关键词(KeyWords)： 水平二维肋管;降膜流型转变雷诺数;机器学习;预测模型

Abstract:

Keywords:

基金项目(Foundation): 中国博士后科学基金（2023M743764）;中国博士后科学基金（2024M761698）;; “清华大学恒隆房地产研究中心”资助项目

作者(Author): 陈敬东,高蓬辉,郭晓超,石磊

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