Experimental and computational inverse thermal analysis of transient, non-linear heat flux in circular pin fin with temperature-dependent thermal properties-Reference-Cited by-同舟云学术

Experimental and computational inverse thermal analysis of transient, non-linear heat flux in circular pin fin with temperature-dependent thermal properties

Published:2020-03 Issue: Volume:168 Page:114721
ISSN:1359-4311
Container-title:Applied Thermal Engineering
language:en
Short-container-title:Applied Thermal Engineering

Author:

Singhal Meenal,Singh Sarvjeet,Singla Rohit Kumar,Goyal Kavita,Jain Deepak

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Energy Engineering and Power Technology

Reference46 articles.

1. Extended Surface Heat Transfer;Kern,1972

2. Experimental investigation of PCM based round pin-fin heat sinks for thermal management of electronics: effect of pin-fin diameter;Arshad;Int. J. Heat Mass Transf.,2018

3. Experimental study and optimization of pin fin shapes in flow boiling of micro pin fin heat sinks;Wan;Appl. Therm. Eng.,2017

4. Application of decomposition method and inverse prediction of parameters in a moving fin;Singla;Energy Convers. Manag.,2014

5. Additive manufacturing of pyramidal pin fins: height and fin density effects under forced convection;Cormier;Int. J. Heat Mass Transf.,2014

Cited by 7 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. Computational analysis of entropy generation minimization and heat transfer enhancement in magnetohydrodynamic oscillatory flow of ferrofluids;Journal of Magnetism and Magnetic Materials;2024-03

2. A review of regularization strategies and solution techniques for ill-posed inverse problems, with application to inverse heat transfer problems;Reviews in Mathematical Physics;2023-10-20

3. Computational model analysis on symmetrical aerofoil shaped pin fin arrays;2023-08-14

4. Performance optimization of the air-cooling system in a coal-fired power unit based on intelligent algorithms;Applied Thermal Engineering;2023-07

5. Fast Bayesian inference for inverse heat conduction problem using polynomial chaos and Karhunen–Loeve expansions;Applied Thermal Engineering;2023-01