Thermal degradation studies and hybrid neural network modelling of eutectic phase change material composites-Reference-Cited by-同舟云学术

Thermal degradation studies and hybrid neural network modelling of eutectic phase change material composites

Published:2022-06-28 Issue:11 Volume:46 Page:15733-15755
ISSN:0363-907X
Container-title:International Journal of Energy Research
language:en
Short-container-title:Intl J of Energy Research

Author:

Balasubramanian Karuppudayar Ramaraj¹^ORCID,Ravi Kumar Kottala¹^ORCID,Sathiya Prabhakaran Sakthivel Puvaneswaran²,Jinshah Basheer Sheeba¹^ORCID,Abhishek Nalluri³

Affiliation:

1. Department of Mechanical Engineering National Institute of Technology Tiruchirappalli Tiruchirappalli Tamilnadu India

2. Department of Energy and Environment National Institute of Technology Tiruchirappalli Tiruchirappalli Tamilnadu India

3. School of Materials Science and Engineering Huazhong University of Science and Technology Wuhan Hubei China

Publisher

Hindawi Limited

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/er.8272

Reference45 articles.

1. Influence of power step on the behavior of an Open Natural Circulation Loop as applied to a Parabolic Trough Collector

2. Experimental investigation and neural network modeling of binary eutectic/expanded graphite composites for medium temperature thermal energy storage;Kottala RK;Energy Sources A: Recovery, Util Environ Eff,2022

3. Experimental Analysis and Neural Network Model of MWCNTs Enhanced Phase Change Materials

4. Battery thermal management systems (BTMs) based on phase change material (PCM): A comprehensive review

5. Preparation and characteristic of Ag nanoparticle modified expanded graphite for enhancing paraffin phase change material properties

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