Staff View: Optimizing graphene-silver embedded phase change composite synthesis using design of experiments

Optimizing graphene-silver embedded phase change composite synthesis using design of experiments

The paradigm shift from fossil fuels to renewable ones is at stake with the underdeveloped energy storage technology. However, Phase Change Materials (PCMs) are congruent with batteries but possess degraded thermophysical properties, which can be tuned by dispersing nanofillers. Numerous trials are...

Full description

Saved in:

Bibliographic Details
Main Authors:	Paul, John, Pandey, A. K., Kadirgama, K., Samykano, M., Jacob, Jeeja, Selvaraj, Jeyraj, Saidur, R.
Format:	Article
Published:	Elsevier 2024
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://eprints.um.edu.my/45765/ https://doi.org/10.1016/j.est.2024.110523
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.um.eprints.45765
record_format	eprints
spelling	my.um.eprints.457652024-11-12T01:37:45Z http://eprints.um.edu.my/45765/ Optimizing graphene-silver embedded phase change composite synthesis using design of experiments Paul, John Pandey, A. K. Kadirgama, K. Samykano, M. Jacob, Jeeja Selvaraj, Jeyraj Saidur, R. TA Engineering (General). Civil engineering (General) The paradigm shift from fossil fuels to renewable ones is at stake with the underdeveloped energy storage technology. However, Phase Change Materials (PCMs) are congruent with batteries but possess degraded thermophysical properties, which can be tuned by dispersing nanofillers. Numerous trials are needed to find the optimum responses for maximal thermophysical properties. This research aims to apply statistical methods for hybrid nanocomposite synthesis to deliver maximal favourable thermophysical properties. Response Surface Methodology with a central composite design was sourced to generate optimal input response conditions for maximal thermal conductivity. The present work also focuses on the synthesis and thermophysical characterization of nanocomposite with nanofillers (graphene: silver) at optimum input response. The maximal thermal conductivity value for the optimum input response of nanofiller and surfactant concentration was 0.412 W/mK, 0.310 %, and 0.313 %, respectively. Statistical parameters (f-values, predicted R-2, observed R-2, adjusted R-2) were used to validate the experimentally developed Response Surface Methodology (RSM) model. The reliability of the predicted model was proved as there was little distinction between simulation data and validation experiments. The induction of statistical methods will significantly reduce the experimental trials and deliver insight into major input parameters and their effects on responses. Moreover, the macro-packed nano phase change composite reduced the surface temperature by 7 degrees C. The thermophysical characterization and experimental results validate the usage of NPCCs as a thermal interface material for building thermal management applications. Elsevier 2024-03 Article PeerReviewed Paul, John and Pandey, A. K. and Kadirgama, K. and Samykano, M. and Jacob, Jeeja and Selvaraj, Jeyraj and Saidur, R. (2024) Optimizing graphene-silver embedded phase change composite synthesis using design of experiments. Journal of Energy Storage, 82. p. 110523. ISSN 2352-152X, DOI https://doi.org/10.1016/j.est.2024.110523 <https://doi.org/10.1016/j.est.2024.110523>. https://doi.org/10.1016/j.est.2024.110523 10.1016/j.est.2024.110523
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Paul, John Pandey, A. K. Kadirgama, K. Samykano, M. Jacob, Jeeja Selvaraj, Jeyraj Saidur, R. Optimizing graphene-silver embedded phase change composite synthesis using design of experiments
description	The paradigm shift from fossil fuels to renewable ones is at stake with the underdeveloped energy storage technology. However, Phase Change Materials (PCMs) are congruent with batteries but possess degraded thermophysical properties, which can be tuned by dispersing nanofillers. Numerous trials are needed to find the optimum responses for maximal thermophysical properties. This research aims to apply statistical methods for hybrid nanocomposite synthesis to deliver maximal favourable thermophysical properties. Response Surface Methodology with a central composite design was sourced to generate optimal input response conditions for maximal thermal conductivity. The present work also focuses on the synthesis and thermophysical characterization of nanocomposite with nanofillers (graphene: silver) at optimum input response. The maximal thermal conductivity value for the optimum input response of nanofiller and surfactant concentration was 0.412 W/mK, 0.310 %, and 0.313 %, respectively. Statistical parameters (f-values, predicted R-2, observed R-2, adjusted R-2) were used to validate the experimentally developed Response Surface Methodology (RSM) model. The reliability of the predicted model was proved as there was little distinction between simulation data and validation experiments. The induction of statistical methods will significantly reduce the experimental trials and deliver insight into major input parameters and their effects on responses. Moreover, the macro-packed nano phase change composite reduced the surface temperature by 7 degrees C. The thermophysical characterization and experimental results validate the usage of NPCCs as a thermal interface material for building thermal management applications.
format	Article
author	Paul, John Pandey, A. K. Kadirgama, K. Samykano, M. Jacob, Jeeja Selvaraj, Jeyraj Saidur, R.
author_facet	Paul, John Pandey, A. K. Kadirgama, K. Samykano, M. Jacob, Jeeja Selvaraj, Jeyraj Saidur, R.
author_sort	Paul, John
title	Optimizing graphene-silver embedded phase change composite synthesis using design of experiments
title_short	Optimizing graphene-silver embedded phase change composite synthesis using design of experiments
title_full	Optimizing graphene-silver embedded phase change composite synthesis using design of experiments
title_fullStr	Optimizing graphene-silver embedded phase change composite synthesis using design of experiments
title_full_unstemmed	Optimizing graphene-silver embedded phase change composite synthesis using design of experiments
title_sort	optimizing graphene-silver embedded phase change composite synthesis using design of experiments
publisher	Elsevier
publishDate	2024
url	http://eprints.um.edu.my/45765/ https://doi.org/10.1016/j.est.2024.110523
_version_	1816130456022679552
score	13.232414

Optimizing graphene-silver embedded phase change composite synthesis using design of experiments

Similar Items