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

In this article, the thermophysical properties of binary eutectic PCM salt (LiNO 3 + NaCl) are investigated experimentally using the dispersion of multi-walled carbon nanotubes (MWCNTs) with varying weight fractions (i.e., 0.25 %, 0.5 %, and 1 %). According to the XRD and FTIR results, MWCNTs physi...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	International journal of thermophysics 2022, Vol.43 (1), Article 11
Hauptverfasser:	Ravi Kumar, Kottala, Balasubramanian, K. R., Jinshah, B. S., Abhishek, Nalluri
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Classical Mechanics Condensed Matter Physics Differential scanning calorimetry Dispersion Fractions Geophysics Heat conductivity Heat storage Heat transfer Industrial Chemistry/Chemical Engineering Latent heat Multi wall carbon nanotubes Nanocomposites Neural networks Phase change materials Phase transitions Physical Chemistry Physics Physics and Astronomy Storage capacity Thermal conductivity Thermodynamics Thermophysical models Thermophysical properties Transition temperature
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!