A Machine-Learning-Aided Data Recovery Approach for Predicting Multi-Material Thermal Behaviors in Advanced Test Reactor Capsules DOI

Takanori Kajihara,

Han Bao, Daniel Chapman

et al.

Published: Jan. 1, 2024

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Language: Английский

Generalized slip impact of Casson nanofluid through cylinder implanted in swimming gyrotactic microorganisms DOI
Kotha Gangadhar,

T. Sujana Sree,

Abderrahim Wakif

et al.

International Journal of Modern Physics B, Journal Year: 2023, Volume and Issue: 38(28)

Published: Nov. 3, 2023

In this paper, the self-propelled movement on gyrotactic swimming microorganisms into generalized slip flow by nanoliquid over stretching cylinder with strong magnetic field is discussed. Constant wall temperature was pretended as well Nield conditions of boundary. The intuitive non-Newtonian particulate suspension included applying Casson fluid base liquid and nanoparticles. This formation bio-mathematical model gives boundary value problem nonlinear partial differential equations. Primly, modeled numerical system converted to nondimensional against help acceptable scaling variables bvp4c technique used acquire mathematical outcomes governing system. graphical description significant parameters their physical performance widely studied. Prandtl number has maximum contribution (112.595%) along selected parameters, whereas Brownian motion least (0.00165%) heat transfer rate. Anyhow, established for much helpful method fabrication coatings, etc. Therefore, performs like resistive force that motion, higher energy enlarged structure exhibiting thermal radiation.

Language: Английский

Citations

51

A comprehensive review on microchannel heat sinks for electronics cooling DOI Creative Commons
Zhiqiang Yu, Motong Li, Bing Cao

et al.

International Journal of Extreme Manufacturing, Journal Year: 2023, Volume and Issue: 6(2), P. 022005 - 022005

Published: Dec. 6, 2023

Abstract The heat generation of electronic devices is increasing dramatically, which causes a serious bottleneck in the thermal management electronics, and overheating will result performance deterioration even device damage. With development micro-machining technologies, microchannel sink (MCHS) has become one best ways to remove considerable amount generated by high-power electronics. It advantages large specific surface area, small size, coolant saving high transfer coefficient. This paper comprehensively takes an overview research progress MCHSs generalizes hotspots bottlenecks this area. mechanisms performances different channel structures, coolants, materials some other influencing factors are reviewed. Additionally, classifies enhancement technology reviews related studies on both single-phase phase-change flow transfer. comprehensive review expected provide theoretical reference technical guidance for further application future.

Language: Английский

Citations

47

Predicting the performance of a photovoltaic unit via machine learning methods in the existence of finned thermal storage unit DOI

Mohammadreza Kiaghadi,

M. Sheikholeslami,

A.M. Alinia

et al.

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 90, P. 111766 - 111766

Published: May 1, 2024

Language: Английский

Citations

23

Combining artificial intelligence and computational fluid dynamics for optimal design of laterally perforated finned heat sinks DOI Creative Commons
Seyyed Amirreza Abdollahi, Ali Basem, As’ad Alizadeh

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 21, P. 102002 - 102002

Published: March 1, 2024

The efficient design of heat sinks is a severe challenge in thermo-fluid engineering. A creative and innovative way applying lateral perforations to parallel finned sinks. significance achieving an optimal for perforated (PFHSs) has inspired the present authors introduce novel hybrid designing approach that combines computational fluid dynamics (CFD), machine learning (ML), multi-objective optimization (MOO), multi-criteria decision-making (MCDM). variables considered include size (0.25<φ < 0.5) shape (square, circular, hexagonal) perforations, as well airflow Reynolds number (2000

Language: Английский

Citations

18

Optimizing photovoltaic thermal solar systems efficiency through advanced artificial intelligence driven thermal management techniques DOI

Warda M. Shaban,

A.E. Kabeel, Mohammed El Hadi Attia

et al.

Applied Thermal Engineering, Journal Year: 2024, Volume and Issue: 247, P. 123029 - 123029

Published: March 21, 2024

Language: Английский

Citations

18

Multi-objective optimization of a laterally perforated-finned heat sink with computational fluid dynamics method and statistical modeling using response surface methodology DOI
Junjie Li, Dheyaa J. Jasim, Dler Hussein Kadir

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 130, P. 107674 - 107674

Published: Dec. 23, 2023

Language: Английский

Citations

25

A novel insight into the design of perforated-finned heat sinks based on a hybrid procedure: Computational fluid dynamics, machine learning, multi-objective optimization, and multi-criteria decision-making DOI
Seyyed Amirreza Abdollahi,

A.H. Aljassar E. Al-Enezi,

As’ad Alizadeh

et al.

International Communications in Heat and Mass Transfer, Journal Year: 2024, Volume and Issue: 155, P. 107535 - 107535

Published: May 7, 2024

Language: Английский

Citations

11

Artificial neural network prediction and multi-objective genetic algorithm optimization of the microchannel heat sink with trapezoidal ribs DOI

Kaijie Lu,

Chunju Wang, Haidong He

et al.

Thermal Science and Engineering Progress, Journal Year: 2024, Volume and Issue: 50, P. 102546 - 102546

Published: March 22, 2024

Language: Английский

Citations

10

Computational study on the impact of geometric parameters on the overall efficiency of multi-branch channel heat sink in the solar collector DOI
Ahmad Najafpour,

Elham Montazer,

Kh. Hosseinzadeh

et al.

International Communications in Heat and Mass Transfer, Journal Year: 2024, Volume and Issue: 158, P. 107884 - 107884

Published: Aug. 1, 2024

Language: Английский

Citations

10

Experimental investigation and development of heat transfer correlation for flow boiling of nanorefrigerants through horizontal tubes DOI
Yongqiang Feng, Qiang Zhang, Jian Song

et al.

Applied Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 125856 - 125856

Published: Feb. 1, 2025

Language: Английский

Citations

1