Prediction and Analysis of Heat Transfer Characteristics of Supercritical Fluids Based on Interpretable Machine Learning

被引：0
|
作者：
Li, Haozhe [1 ,3 ]
Song, Meiqi [2 ,3 ]
Liu, Xiaojing [1 ,3 ]
机构：
[1] School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai,200240, China
[2] College of Smart Energy, Shanghai Jiao Tong University, Shanghai,200240, China
[3] Shanghai Numerical Nuclear Reactor Technology Integration Innovation Center, Shanghai,200240, China
来源：
Hedongli Gongcheng/Nuclear Power Engineering | 2024年 / 45卷 / 06期
关键词：
D O I：
10.13832/j.jnpe.2024.06.0063
中图分类号：
学科分类号：
摘要：
引用
下载
收藏
页码：63 / 74
相关论文
共 50 条
  • [1] Interpretable machine learning-based prediction and analysis of supercritical fluid heat transfer characteristics at different boundary conditions
    Li, Haozhe
    Song, Meiqi
    Liu, Xiaojing
    Energy, 2024, 308
  • [2] Machine learning based prediction of heat transfer deterioration of supercritical fluid in upward vertical tubes
    Xiao, Runfeng
    Zhang, Pingtao
    Chen, Liang
    Hou, Yu
    APPLIED THERMAL ENGINEERING, 2023, 228
  • [3] Research on prediction and analysis of supercritical water heat transfer coefficient based on support vector machine
    Ma, Dongliang
    Li, Yi
    Zhou, Tao
    Huang, Yanping
    NUCLEAR ENGINEERING AND TECHNOLOGY, 2023, 55 (11) : 4102 - 4111
  • [4] Prediction of heat transfer characteristics in a microchannel with vortex generators by machine learning
    Gonul, Alisan
    Colak, Andac Batur
    Kayaci, Nurullah
    Okbaz, Abdulkerim
    Dalkilic, Ahmet Selim
    KERNTECHNIK, 2023, 88 (01) : 80 - 99
  • [5] Prediction of heat transfer to supercritical fluids by the use of Algebraic Heat Flux Models
    Pucciarelli, Andrea
    Sharabi, Medhat
    Ambrosini, Walter
    NUCLEAR ENGINEERING AND DESIGN, 2016, 297 : 257 - 266
  • [6] Heat transfer calculation and analysis for thermodynamic supercritical fluids
    Liu, Jun
    Wang, Tao
    Sen, Zhong-Yao
    Huaxue Gongcheng/Chemical Engineering (China), 2002, 30 (04):
  • [7] AN ANALYSIS FOR FREE CONVECTIVE HEAT TRANSFER TO SUPERCRITICAL FLUIDS
    HASEGAWA, S
    YOSHIOKA, K
    CHEMICAL ENGINEERING PROGRESS, 1966, 62 (07) : 84 - &
  • [8] Predicting Heat Capacity of Molecular Fluids Using Interpretable Machine Learning Model
    Li, Simin
    He, Hongyan
    Wang, Yanlei
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2024, 63 (34) : 15257 - 15265
  • [9] Machine learning-based prediction of heat transfer enhancement in carreau fluids with impact of homogeneous and heterogeneous reactions
    Nahid Fatima
    Refka Ghodhbani
    Nouman Khalid
    Muhammad Imran Khan
    Talal Taha
    Nouman Ijaz
    Najma Saleem
    Multiscale and Multidisciplinary Modeling, Experiments and Design, 2025, 8 (2)
  • [10] Research on Judgment of Supercritical Water Heat Transfer Deterioration Based on Machine Learning
    Ma D.
    Zhou T.
    Huang Y.
    1600, Atomic Energy Press (42): : 91 - 95
12345