高校化学工程学报2025，Vol.39Issue(6)：983-992,10.DOI:10.3969/j.issn.1003-9015.2025.00.032
水平二维肋管间降膜流型转变的实验分析与预测模型
Experimental analysis and predictive model of falling film flow pattern transition betweem horizontal two-dimensional finned tubes
摘要
Abstract
The different flow patterns formed between horizontal tubes in a falling film heat exchanger can affect the heat and mass transfer performance of the heat exchanger.To accurately predict the transition of flow patterns be-tween tubes,this paper designed and built a horizontal two-dimensional finned tube falling film flow system.Based on experimental results,this paper adopted a machine learning research method to establish a flow pattern predic-tion model between tubes that comprehensively considers the influence factors of tube spacing and fin structure.The research results show that the deviation between the predicted values of the model and the experimental values can be controlled within±20％.Compared with traditional models in the literature,the machine learning model shows significant advantages in prediction accuracy.The research results of this paper provide a new reference basis for the development of subsequent falling film flow pattern prediction models.关键词
水平二维肋管/降膜流型转变雷诺数/机器学习/预测模型Key words
horizontal two-dimensional finned tube/Reynolds number for falling film flow pattern transition/machine learning/predictive model分类
能源科技引用本文复制引用
陈敬东,高蓬辉,郭晓超,石磊..水平二维肋管间降膜流型转变的实验分析与预测模型[J].高校化学工程学报,2025,39(6):983-992,10.基金项目
中国博士后科学基金(2023M743764) （2023M743764）
中国博士后科学基金(2024M761698) （2024M761698）
"清华大学恒隆房地产研究中心"资助项目. （）
