Results 31 to 40 of about 669 (151)
This paper evaluates the thermal insulation potential of a roof embedded with phase-change materials (PCM) and nano-enhanced PCM (NEPCM) in Iraq’s hot climate.
Hayder M. Abbas, Abd Alsatar Hussein
doaj +1 more source
Recently, Nano-encapsulated phase change materials (NEPCM) have attracted the attention of researchers due to their promising application in thermal management.
Obai Younis +4 more
doaj +1 more source
Use of Nanoparticle Enhanced Phase Change Material for Cooling of Surface Acoustic Wave Sensor
The use of resonators, filters, interdigital transducers (IDT) and stable sources in electronic industry is widespread today. One of the most used filters are the surface acoustic wave (SAW) type, which is mostly based on Rayleigh waves propagation on ...
Mohammad Yaghoub Abdollahzadeh Jamalabadi
doaj +1 more source
This study develops eco‐friendly two‐dimensional nanoparticle‐enhanced phase change materials (2D NePCMs) using biodegradable beeswax infused with rGO, GO, and MXene nanoparticles. Experimental results demonstrated up to 21.9% enhancement in thermal conductivity with minimal latent heat loss, while machine learning models achieved >95% predictive ...
Abdullah Aziz +3 more
wiley +1 more source
This paper presents a numerical study of unconstrained melting of nano-enhanced phase change materials (NEPCM) inside a spherical container using RT27 and copper particles as base material and nano-particle, respectively.
Tan, F. L. +5 more
core +1 more source
Highly-conductive nano-sized particles are dispersed into phase change materials (PCM) to improve their effective thermal conductivity, thus leading to suspensions that are referred to as nanoparticle-enhanced PCM (NEPCM).
Liwu Fan, J. M. Khodadadi
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ABSTRACT Traditional numerical methods, such as finite difference methods (FDM), finite element methods (FEM), and spectral methods, often face meshing challenges and high computational cost for solving nonlinear coupled differential equations. Machine learning techniques, specifically Physics‐informed machine learning, address these obstacles by ...
Ahmad, Feroz Soomro, Husna Zafar
wiley +1 more source
Review on numerical simulations for nano-enhanced phase change material (NEPCM) phase change process
A review on numerical simulations performed for solidification and melting process of nano-enhanced phase change materials (NEPCM) is reported. The studies were conducted to understand the factors influencing the process such as nanoparticle fraction in ...
Asako, Y. +3 more
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This study investigates the thermal performance of cabinet-type solar dryer using paraffin wax-based NEPCM enhanced with 0.5% functionalized multi-walled carbon nanotubes (FMWCNT).
Aniket V. Deshmukh, Sanjay M. Kherde
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Beyond Conventional Cooling: Advanced Micro/Nanostructures for Managing Extreme Heat Flux
This review examines the design, application, and manufacturing of biomimetic or engineered micro/nanostructures for managing high heat‐flux in multi‐level electronics by enhancing conductive, convective, phase‐changing, and radiative heat transfer mechanisms, highlighting their potential for efficient, targeted thermal management, and future prospects.
Yuankun Zhang +7 more
wiley +1 more source

