Experimental study on heat-transfer performance of supercritical-pressure R134a and predictions based on artificial neural network-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Experimental study on heat-transfer performance of supercritical-pressure R134a and predictions based on artificial neural network

Published:2023-01 Issue: Volume:192 Page:105809
ISSN:0896-8446
Container-title:The Journal of Supercritical Fluids
language:en
Short-container-title:The Journal of Supercritical Fluids

Author:

Yan Jianguo,Liu Shouchun,Zheng Shumin,Tian Haoxuan

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Physical and Theoretical Chemistry,Condensed Matter Physics,General Chemical Engineering

Reference36 articles.

1. Assessment of working fluids, thermal resources and cooling utilities for Organic Rankine Cycles: state-of-the-art comparison, challenges, commercial status, and future prospects;Qyyum;Energy Convers. Manag.,2022

2. A review of solar-driven organic Rankine cycles: recent challenges and future outlook;Loni;Renew. Sustain. Energy Rev.,2021

3. A critical review of power generation using geothermal-driven organic Rankine cycle;Loni;Therm. Sci. Eng. Prog.,2021

4. Working fluid parametric analysis for recuperative supercritical organic Rankine cycles for medium geothermal reservoir temperatures;Moloney;Renew. Energy,2020

5. Thermal stability and decomposition behavior of HFO-1234ze(E) as a working fluid in the supercritical organic Rankine cycle;Irriyanto;J. Supercrit. Fluids,2019

Cited by 6 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. Optimal design of supercritical He–H2 PCHE in SABER system by multi-objective genetic algorithm;International Journal of Thermal Sciences;2024-09

2. Comparative analysis of heat transfer prediction for falling film evaporation on the horizontal tube based on machine learning methods;International Journal of Thermal Sciences;2024-09

3. Experimental study on heat transfer behavior and prediction of heat transfer deterioration of supercritical nitrogen in vertical tubes;International Communications in Heat and Mass Transfer;2024-06

4. Study on heat transfer characteristics of supercritical R134a in square microchannel based on GA-BP neural network;Thermal Science and Engineering Progress;2024-06

5. Pressure drop for subcooled water boiling in microchannels under high heat fluxes: Experiments and predictions from artificial neural networks;Applied Thermal Engineering;2024-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3