Estimating thermal performance of thermosyphons by artificial neural networks-Reference-Cited by-同舟云学术

Estimating thermal performance of thermosyphons by artificial neural networks

Published:2023-09 Issue: Volume:79 Page:93-104
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Machado Pedro L.O.^ORCID,Pereira Thomas S.^ORCID,Trindade Marcio G.^ORCID,Biglia Felipe M.^ORCID,Santos Paulo H.D.,Tadano Yara S.^ORCID,Siqueira Hugo,Antonini Alves Thiago

Publisher

Elsevier BV

Subject

General Engineering

Reference64 articles.

1. An invariant descriptor for heaters temperature prediction in conjugate cooling;Antonini Alves;Int. J. Therm. Sci.,2012

2. Conjugate cooling of three discrete heat sources in channel flow;Antonini Alves;J. Braz. Soc. Mech. Sci. Eng.,2008

3. Thermal performance evaluation of different passive devices for electronics cooling;Krambeck;Therm. Sci.,2019

4. Experimental investigation of heat pipe thermal performance with microgrooves fabricated by wire electrical discharge machining (wire-EDM);Nishida;Therm. Sci.,2020

5. Selecting sintered capillary structure for heat pipes based on experimental thermal performance;Krambeck;Acta Scientiarum. Technol.,2022

Cited by 2 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. Utilizing machine learning algorithms for prediction of the rheological behavior of ZnO (50%)-MWCNTs (50%)/ Ethylene glycol (20%)-water (80%) nano-refrigerant;International Communications in Heat and Mass Transfer;2024-08

2. Simulation of heat stabilizer with a distributed refrigerant supply to the outer surface;Tyumen State University Herald. Physical and Mathematical Modeling. Oil, Gas, Energy;2024-04-26