Prediction of heat transfer coefficient during condensation of R134a in inclined tubes using artificial neural network
Author:
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering,Energy Engineering and Power Technology
Reference74 articles.
1. Artificial neural network techniques for the determination of condensation heat transfer characteristics during downward annular flow of R134a inside a vertical smooth tube;Balcilar;Int. Commun. Heat Mass Transfer,2011
2. Micro-channel flow boiling heat transfer of R-134a, R-236fa, and R-245fa;Consolini;Microfluid. Nanofluid.,2009
3. Refrigerant flow boiling heat transfer in parallel microchannels as a function of local vapor quality;Bertsch;Int. J. Heat Mass Transf.,2008
4. Effect of tube diameter on boiling heat transfer of R-134a in horizontal small-diameter tubes;Saitoh;Int. J. Heat Mass Transf.,2005
5. Flow boiling heat transfer of R134a and R245fa in a 2.3mm tube;Tibiriçá;Int. J. Heat Mass Transf.,2010
Cited by 74 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. Prediction of entrainment fraction in two-phase gas-liquid co-current annular flow-A machine learning approach;International Journal of Heat and Mass Transfer;2024-07
2. Experimental investigation on heat transfer characteristics of a novel hypervapotron channel for divertor target in nuclear fusion reactors;Nuclear Materials and Energy;2024-06
3. Machine and deep learning driven models for the design of heat exchangers with micro-finned tubes;Energy and AI;2024-05
4. Steam Condensation Heat Transfer in the Presence of Noncondensable Gases (NCGs) in Nuclear Power Plants (NPPs): A Comprehensive Review of Fundamentals, Current Status, and Prospects for Future Research;International Journal of Energy Research;2024-04-25
5. Machine learning-driven approach for predicting the condensation heat transfer coefficient (HTC) in the presence of non-condensable gases;International Journal of Heat and Fluid Flow;2024-04
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