# The effect of water/carbon interaction strength on interfacial thermal   resistance and the surrounding molecular nanolayer of CNT and graphene   nanoparticles

**Authors:** Fatemeh Jabbari, Ali Rajabpour, Seyfollah Saedodin, Somchai Wongwises

arXiv: 1901.07358 · 2019-03-29

## TL;DR

This study uses molecular dynamics simulations to explore how water/carbon interaction strength affects interfacial thermal resistance and nanolayer structure around CNT and graphene nanoparticles, revealing key dependencies and proposing a correlation.

## Contribution

It introduces a new correlation for thermal resistance based on wettability, considering nanoparticle size and interaction strength, advancing understanding of nanoscale heat transfer.

## Key findings

- Kapitza resistance decreases with increasing water/carbon interaction strength.
- Nanolayer thickness is independent of interaction strength.
- Smaller CNT diameters attract more fluid and reduce thermal resistance.

## Abstract

Heat transfer at the liquid/solid interface, especially at the nanoscale, has enormous importance in nanofluids. This study investigates liquid/solid interfacial thermal resistance and structure of the formed molecular nanolayer around a carbon-based nanoparticle. Employing non-equilibrium molecular dynamics simulation and thermal relaxation method, the nanofluid systems with different nanoparticle diameters and different surface wettability were investigated. Simulation results show that carbon nanotubes (CNTs) with a smaller diameter attract more value of the base fluid and lead to a reduced Kapitza resistance. It was found that the thickness of the nanolayer around the nanoparticle is independent of the water/carbon interaction strength. Also, the value of the Kapitza resistance decreases with increasing the interaction strength. Ultimately, a correlation was proposed for the thermal resistance of CNT/water and graphene/water nanofluids in terms of wettability intensity of nanoparticle surface. The proposed correlation in addition to fitting to simulation results can cover the physical conditions of the system.

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Source: https://tomesphere.com/paper/1901.07358