simulation of melting of a nano-enhanced phase change material (nepcm) in a square cavity with two heat source–sink pairs
Clicks: 297
ID: 252225
2015
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.0
/100
297 views
27 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #28 of 137 articles by views in PLoS computational biology
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 137 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Melting of a NePCM in a square cavity with different arrangements of two heat source–sink pairs flush-mounted on the vertical sidewalls is investigated numerically. The governing equations were solved on a non-uniform mesh using a pressure-based finite volume method with an enthalpy porosity technique to trace the solid–liquid interface. Four different cases are studied: Case I where the sources and sinks are separately placed on two vertical sidewalls; Case II where the sources and sinks are alternately placed on two vertical sidewalls; Case III where the sources are placed below the sinks on the vertical sidewalls; and Case IV where the sources are placed above the sinks on the vertical sidewalls. It was found that, Case II has the highest liquid fraction and Case IV possesses the lowest liquid fraction at the final stages of the melting process. In addition, the impacts of the nanoparticle loading are analyzed. In all the cases studied, the volumetric concentration of nanoparticles of 2% would result in the highest melting rate.
| Reference Key |
ebrahimi2015alexandriasimulation
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Aziz Ebrahimi;Abdolrahman Dadvand |
| Journal | PLoS computational biology |
| Year | 2015 |
| DOI |
10.1016/j.aej.2015.09.007
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.