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Applied Thermal Engineering
Latest Publications
TOTAL DOCUMENTS
18134
(FIVE YEARS 4822)
H-INDEX
142
(FIVE YEARS 30)
Published By Elsevier
1359-4311
Latest Documents
Most Cited Documents
Contributed Authors
Related Sources
Related Keywords
Latest Documents
Most Cited Documents
Contributed Authors
Related Sources
Related Keywords
Corrigendum to “Pressure drop and flow patterns of boiling flows in Mini-channels with Semi-Circular Cross-Section” [Appl. Therm. Eng. 194 (2021) 117096]
Applied Thermal Engineering
◽
10.1016/j.applthermaleng.2022.118091
◽
2022
◽
Vol 205
◽
pp. 118091
Author(s):
Yohei Kubo
◽
Sayaka Yamada
◽
Hideki Murakawa
◽
Hitoshi Asano
Keyword(s):
Pressure Drop
◽
Cross Section
◽
Circular Cross Section
◽
Flow Patterns
◽
Mini Channels
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Passive sub-ambient cooling: radiative cooling versus evaporative cooling
Applied Thermal Engineering
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10.1016/j.applthermaleng.2021.117909
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2022
◽
Vol 202
◽
pp. 117909
Author(s):
Ablimit Aili
◽
Xiaobo Yin
◽
Ronggui Yang
Keyword(s):
Evaporative Cooling
◽
Radiative Cooling
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Dynamic simulation of the potential of integrating a turbo-expander in a hydrogen refueling station
Applied Thermal Engineering
◽
10.1016/j.applthermaleng.2021.117889
◽
2022
◽
Vol 202
◽
pp. 117889
Author(s):
Jianye Chen
◽
Lei Xiao
◽
Yimei Wu
◽
Xu Gao
◽
Hong Chen
◽
...
Keyword(s):
Dynamic Simulation
◽
Turbo Expander
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Experimental study on the influence of bionic channel structure and nanofluids on power generation characteristics of waste heat utilisation equipment
Applied Thermal Engineering
◽
10.1016/j.applthermaleng.2021.117893
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2022
◽
Vol 202
◽
pp. 117893
Author(s):
Jianglin Tu
◽
Cong Qi
◽
Zhibo Tang
◽
Zhen Tian
◽
Lanqi Chen
Keyword(s):
Power Generation
◽
Experimental Study
◽
Waste Heat
◽
Channel Structure
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Thermal simulation trained deep neural networks for fast and accurate prediction of thermal distribution and heat losses of building structures
Applied Thermal Engineering
◽
10.1016/j.applthermaleng.2021.117908
◽
2022
◽
Vol 202
◽
pp. 117908
Author(s):
Dug-Joong Kim
◽
Sang-Il Kim
◽
Hak-Sung Kim
Keyword(s):
Neural Networks
◽
Deep Neural Networks
◽
Thermal Simulation
◽
Heat Losses
◽
Accurate Prediction
◽
Building Structures
◽
Thermal Distribution
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Self-adaptive cooling of chips with unevenly distributed high heat fluxes
Applied Thermal Engineering
◽
10.1016/j.applthermaleng.2021.117913
◽
2022
◽
Vol 202
◽
pp. 117913
Author(s):
Xiu Li
◽
Yimin Xuan
Keyword(s):
High Heat
◽
Heat Fluxes
◽
Self Adaptive
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Optical investigation of cryogenic frost formation under forced convection
Applied Thermal Engineering
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10.1016/j.applthermaleng.2021.117887
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2022
◽
Vol 202
◽
pp. 117887
Author(s):
Haijun Jeong
◽
Sungjoon Byun
◽
Dong Rip Kim
◽
Kwan-Soo Lee
Keyword(s):
Forced Convection
◽
Optical Investigation
◽
Frost Formation
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Experimental evaluation and prediction model development on the heat and mass transfer characteristics of tumble drum in clothes dryers
Applied Thermal Engineering
◽
10.1016/j.applthermaleng.2021.117900
◽
2022
◽
Vol 202
◽
pp. 117900
Author(s):
Dongchan Lee
◽
Minwoo Lee
◽
Myeong Hyeon Park
◽
Yongchan Kim
Keyword(s):
Mass Transfer
◽
Prediction Model
◽
Heat And Mass Transfer
◽
Experimental Evaluation
◽
Model Development
◽
Transfer Characteristics
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Thermal runaway evaluation and thermal performance enhancement of a lithium-ion battery coupling cooling system and battery sub-models
Applied Thermal Engineering
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10.1016/j.applthermaleng.2021.117884
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2022
◽
Vol 202
◽
pp. 117884
Author(s):
Antonio García
◽
Javier Monsalve-Serrano
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Rafael Lago Sari
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Santiago Martínez-Boggio
Keyword(s):
Lithium Ion Battery
◽
Thermal Performance
◽
Performance Enhancement
◽
Cooling System
◽
Lithium Ion
◽
Thermal Runaway
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Editorial Board
Applied Thermal Engineering
◽
10.1016/s1359-4311(21)01399-5
◽
2022
◽
Vol 202
◽
pp. 117979
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