Experimental study of buoyancy and centrifugal effects on supercritical heat transfer in U-bend and contiguous straight tubes-Reference-Cited by-同舟云学术

Experimental study of buoyancy and centrifugal effects on supercritical heat transfer in U-bend and contiguous straight tubes

Published:2023-09 Issue: Volume:212 Page:124274
ISSN:0017-9310
Container-title:International Journal of Heat and Mass Transfer
language:en
Short-container-title:International Journal of Heat and Mass Transfer

Author:

Zhou Xing,Yuan Sixu,Li Zhouhang^ORCID

Funder

China Association for Science and Technology

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Fluid Flow and Transfer Processes,Mechanical Engineering,Condensed Matter Physics

Reference33 articles.

1. Homogeneous catalysis in supercritical fluids;Jessop;Science,1995

2. Supercritical fluid adsorption of natural extracts: Technical, practical, and theoretical aspects;Carvalho;Journal of CO2 Utilization,2022

3. Reactions at supercritical conditions: applications and fundamentals;Savage;American Institute of Chemical Engineers Journals,1995

4. Homogeneous catalysis in supercritical fluids: hydrogenation of supercritical Carbon dioxide to formic acid, Alkyl Formates, and Formamides;Jessop;Journal of the American Chemical Society,1996

5. Supercritical fluid technology - an eco-friendly approach for resource recovery from e-waste and plastic waste: a review;Preetam;Separation and Purification Technology,2022

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Effect of bend orientation on the heat transfer performance of U-bend vapor generator in transcritical ORC;Applied Thermal Engineering;2024-10

2. Mechanism analysis on heat transfer of supercritical LNG in horizontal U-bend tube;Energy;2024-09

3. Heat transfer performance of supercritical CO2 in a vertical U-tube;Applied Thermal Engineering;2024-08

4. Enhancement of supercritical heat transfer in U-bend by partial curvature;International Journal of Heat and Fluid Flow;2024-07

5. Deep learning approach for predicting the flow field and heat transfer of supercritical hydrocarbon fuels;International Journal of Heat and Mass Transfer;2024-02