On the flow characteristics of nanofluids by experimental approach and molecular dynamics simulation

Cui, Wenzheng; Bai, Ming; Lv, Jizu; Zhang, Liang; Li, Guojie; Xu, Minyi

doi:10.1016/j.expthermflusci.2012.01.019

Cited by 36 publications

(17 citation statements)

References 27 publications

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“…Cui et al experimentally studied the flow characteristics of nanofluids in a wavy-walled tube. And the visualization experimental results showed: At the same Reynolds number the nanoparticles cause more homogeneous longitudinal mixing and enhance mass transferring of nanofluids, which indicates the micro-flow in nanofluids is enhanced [11]. Hence, we proposed the opinion that: besides increased thermal conductivity, heat transfer in nanofluids is further enhanced on the basis of changed flow characteristics and enhanced mass transfer.…”

Section: Introductionmentioning

confidence: 88%

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Effect of chaotic movements of nanoparticles for nanofluid heat transfer augmentation by molecular dynamics simulation

Cui

Shen

Yang

et al. 2015

Applied Thermal Engineering

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Section: Introductionmentioning

confidence: 88%

“…Embedded atom method (EAM) potential is used to model the interatomic interactions between Cu and Cu molecules. The potential parameters and some other simulation technique details can be found in our previous work [11]. In the simulation, each time step length is 2 fs, and the total simulation time is 10,000 ps.…”

Section: Simulationmentioning

confidence: 99%

Effect of chaotic movements of nanoparticles for nanofluid heat transfer augmentation by molecular dynamics simulation

Cui

Shen

Yang

et al. 2015

Applied Thermal Engineering

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“…Essentially, the interactions between nanoparticles and a base fluid affect the overall flow characteristics, and therefore affect the convective heat transfer process. The molecular dynamics simulation performed by our group [34] indicated that the addition of nanoparticles enhances the momentum exchange between the phases and improves the overall turbulence intensity, thus increasing the heat transfer process attributed to several interphase forces. The present authors suggest the enhanced heat transfer capability of nanofluids is the result of enhanced flow characteristics when nanoparticles are present and the flow conditions are most important drivers of heat transfer enhancement in nanofluids.…”

Section: Introductionmentioning

confidence: 98%

Numerical Investigation on the Turbulent Flow Characteristic of Nanofluids in a Horizontal Circular Tube

Wang¹,

Bai²,

Lv³

et al. 2014

Numerical Heat Transfer, Part A: Applications

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Turbulent flow characteristic of TiO 2 -water nanofluids inside a horizontal circular tube is studied numerically by single-phase model, mixture multiphase model and EulerianEulerian multiphase model. The flow characteristic is accounted from micro-flow aspect in order to reveal the mechanism of heat transfer enhancement in nanofluids. A new empirical correlation of nanoparticle viscosity has been proposed for multiphase models, which is much more precise than traditional empirical models. The presence of nanoparticles intensified local micro-flow and improved overall turbulence intensity significantly. The current study suggests that a thorough understanding on flow characteristics of nanofluids is essential for proposing mathematical description nanofluids flow.

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“…This has been the case as the investigators frequently modelled the problem using several assumptions regarding the nature of the fluid and the heat propagation it employs [2,8,9,[17][18][19][20][21][22]. Theoretical investigations usually simulate nanofluids using classical thermodynamic principles applied to a single phase modelled fluid.…”

Section: Introductionmentioning

confidence: 99%

Molecular Dynamic Simulations of a Simplified Nanofluid

Sergis¹,

Hardalupas²

2014

CMST

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This study describes the methodology that was developed to run a Molecular Dynamics Simulation (MDS) code to simulate the behaviour of a single nanoparticle dispersing in a fluid with a temperature gradient. A soft disk model described by the Lennard-Jones potential is used to simulate the system. The nanoparticle is assembled via the use of four subdomains of interatomic interactions and hence presents in full resolution the transfer of energy from the fluid-to-solidto-fluid subdomains. A cluster computing system (HTCondor) was used to perform a large scale deployment of the MDS code. The obtained showcase results were successfully evaluated using three widely documented tests from the associated literature (Randomness, Radial Distribution and Velocity Autocorrelation Distribution Functions). It was discovered that the nanoparticle travels a larger distance in the fluid than the distance travelled by a fluid molecule (recovery region). The findings were confirmed by calculating the Green-Kubo self-diffusivity coefficient halfway through the simulation at which an enhancement of 156% was discovered in favour of the Nanoparticle. This might be the physical mechanism responsible for the experimentally observed thermal performance enhancement in nanofluids.

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On the flow characteristics of nanofluids by experimental approach and molecular dynamics simulation

Cited by 36 publications

References 27 publications

Effect of chaotic movements of nanoparticles for nanofluid heat transfer augmentation by molecular dynamics simulation

Effect of chaotic movements of nanoparticles for nanofluid heat transfer augmentation by molecular dynamics simulation

Numerical Investigation on the Turbulent Flow Characteristic of Nanofluids in a Horizontal Circular Tube

Molecular Dynamic Simulations of a Simplified Nanofluid

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