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

Cui, Wenzheng; Shen, Zhaojie; Yang, Jianguo; Wu, Shaohua

doi:10.1016/j.applthermaleng.2014.11.030

Cited by 44 publications

(14 citation statements)

References 51 publications

(37 reference statements)

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“…Nanoparticles exhibit continuous translational and rotational motion in liquid media. Although nanoparticle movement has been simulated with molecular‐dynamics calculations, real‐time tracking of particle movement is a great challenge due to the absence of in situ visualization tools that can capture motions at the nanoscale level. Since liquid‐phase TEM is a powerful technique for tracking trajectories of individual nanoparticles, diffusion dynamics of single particles and interparticle interactions have been intensively studied using this analytical technique …”

Section: Nanoparticle Motionmentioning

confidence: 99%

Liquid‐Phase Transmission Electron Microscopy for Studying Colloidal Inorganic Nanoparticles

et al. 2017

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For the past few decades, nanoparticles of various sizes, shapes, and compositions have been synthesized and utilized in many different applications. However, due to a lack of analytical tools that can characterize structural changes at the nanoscale level, many of their growth and transformation processes are not yet well understood. The recently developed technique of liquid-phase transmission electron microscopy (TEM) has gained much attention as a new tool to directly observe chemical reactions that occur in solution. Due to its high spatial and temporal resolution, this technique is widely employed to reveal fundamental mechanisms of nanoparticle growth and transformation. Here, the technical developments for liquid-phase TEM together with their application to the study of solution-phase nanoparticle chemistry are summarized. Two types of liquid cells that can be used in the high-vacuum conditions required by TEM are discussed, followed by recent in situ TEM studies of chemical reactions of colloidal nanoparticles. New findings on the growth mechanism, transformation, and motion of nanoparticles are subsequently discussed in detail.

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Section: Nanoparticle Motionmentioning

confidence: 99%

Liquid‐Phase Transmission Electron Microscopy for Studying Colloidal Inorganic Nanoparticles

et al. 2017

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“…Keblinski et al [59] evaluated the four specific mechanisms to understand the fundamentals of heat transport in solid nanoparticle colloids under stationary conditions, and suggested that layering at the solid/surface interface, ballistic phonon transport, and clustering may play important roles, rather than Brownian motion. Cui et al [60] investigated the mechanisms of heat transfer enhancement due to chaotic movements of nanoparticles using molecular dynamics simulations. The authors compared the time periods of nanoparticles moving and diffusing, and deduced that the movements of nanoparticles are effective in transferring heat in nanofluids.…”

Section: Heat Transfer Mechanismmentioning

confidence: 99%

Review on Synthesis, Thermo-Physical Property, and Heat Transfer Mechanism of Nanofluids

Patil

Seo²,

Kang

et al. 2016

Energies

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Nanofluids are suspended nano-sized particles in a base fluid. With increasing demand for more high efficiency thermal systems, nanofluids seem to be a promising option for researchers. As a result, numerous investigations have been undertaken to understand the behaviors of nanofluids. Since their discovery, the thermo-physical properties of nanofluids have been under intense research. Inadequate understanding of the mechanisms involved in the heat transfer of nanofluids has been the major obstacle for the development of sophisticated nanofluids with the desired properties. In this comprehensive review paper, investigations on synthesis, thermo-physical properties, and heat transfer mechanisms of nanofluids have been reviewed and presented. Results show that the thermal conductivity of nanofluids increases with the increase of the operating temperature. This can potentially be used for the efficiency enhancement of thermal systems under higher operating temperatures. In addition, this paper also provides details concerning dependency of the thermo-physical properties as well as synthesis and the heat transfer mechanism of the nanofluids.

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“…are selected, where the increase in viscosity of the nanofluid (μ nf ) related to that of the base fluid (μ bf ) is investigated by Eq. (23). The other dimensionless groups have already been described; in particular, the dimensionless shape factor m has been defined in Eq.…”

Section: Development Of the Correlation For Relative Viscositymentioning

confidence: 99%

“…A variety of modeling techniques have been developed for calculating the thermophysical properties over the years [19][20][21]. Among them, molecular dynamics (MD) simulation can provide detailed atomic-level information and has been widely employed in many numerical studies on the thermophysical properties of fluids [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Particle-shape-, temperature-, and concentration-dependent thermal conductivity and viscosity of nanofluids

et al. 2019

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In this study, using the Green-Kubo-method-based molecular dynamics simulations, correlations for predicting the thermophysical properties of nanofluids are developed based on particle shape, fluid temperature, and volume concentration. Silver nanofluids with various nanoparticle shapes including spheres, cubes, cylinders, and rectangular prisms are investigated. The numerical study is conducted within the concentration range 0.14-1.4 vol % and temperature range 280-335 K. The relative thermal conductivity and relative viscosity predicated by the proposed correlations are within a mean deviation of 2% and 5%, respectively, as compared with the experimental results from this study and the available literature. The proposed correlation will be a useful tool for engineers in designing the nanofluids for different applications in industry.

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

Cited by 44 publications

References 51 publications

Liquid‐Phase Transmission Electron Microscopy for Studying Colloidal Inorganic Nanoparticles

Liquid‐Phase Transmission Electron Microscopy for Studying Colloidal Inorganic Nanoparticles

Review on Synthesis, Thermo-Physical Property, and Heat Transfer Mechanism of Nanofluids

Particle-shape-, temperature-, and concentration-dependent thermal conductivity and viscosity of nanofluids

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