Investigation on the aggregation structure of nanoparticle on the thermal conductivity of nanofluids by molecular dynamic simulations

Liao, Jibang; Zhang, Aimin; Qing, Shan; Zhang, Xiao-Hui; Luo, Zhumei

doi:10.1016/j.powtec.2021.10.007

Cited by 43 publications

(3 citation statements)

References 30 publications

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“…[47,48] In recent years, there has been much speculation about using molecular dynamics theory and Brownian dynamics simulations to support experimental evidence and establish a theoretical understanding of fundamental concepts such as NPs clustering, phonon transport processes, microconvection, and NPs aggregation kinetics. [20,[49][50][51][52] Recent systematic studies have identified agglomerates as a key variable responsible for the significant TC gain in NMFs, and the manipulation of conduction channels through agglomerates is crucial for achieving stability. [46,53] Controlling aggregation with flexibility is therefore critical for microfluids, microconvection, and TC models.…”

Section: Introductionmentioning

confidence: 99%

Correlating the Dipolar Interactions Induced Magneto‐Viscoelasticity and Thermal Conductivity Enhancements in Nanomagnetic Fluids

Singh

Pathak

Jain

et al. 2023

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The effective thermal management of electronic system holds the key to maximize their performance. The recent miniaturization trends require a cooling system with high heat flux capacity, localized cooling, and active control. Nanomagnetic fluids (NMFs) based cooling systems have the ability to meet the current demand of the cooling system for the miniaturized electronic system. However, the thermal characteristics of NMFs have a long way to go before the internal mechanisms are well understood. This review mainly focuses on the three aspects to establish a correlation between the thermal and rheological properties of the NMFs. First, the background, stability, and factors affecting the properties of the NMFs are discussed. Second, the ferrohydrodynamic equations are introduced for the NMFs to explain the rheological behavior and relaxation mechanism. Finally, different theoretical and experimental models are summarized that explain the thermal characteristics of the NMFs. Thermal characteristics of the NMFs are significantly affected by the morphology and composition of the magnetic nanoparticles (MNPs) in NMFs as well as the type of carrier liquids and surface functionalization that also influences the rheological properties. Thus, understanding the correlation between the thermal characteristics of the NMFs and rheological properties helps develop cooling systems with improved performance.

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Section: Introductionmentioning

confidence: 99%

Correlating the Dipolar Interactions Induced Magneto‐Viscoelasticity and Thermal Conductivity Enhancements in Nanomagnetic Fluids

Singh

Pathak

Jain

et al. 2023

Small

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“…Several mechanisms have been suggested by researchers to effectively predict this improvement in thermal conductivity. The most widely accepted mechanisms for dispersion are: a) Brownian motion, b) liquid–liquid layering, c) particle–liquid layering, and d) thermal transfer [ 1 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

Comparative molecular dynamics simulations of thermal conductivities of aqueous and hydrocarbon nanofluids

Loya¹,

Najib²,

Aziz³

et al. 2022

Beilstein J. Nanotechnol.

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The addition of metal oxide nanoparticles to fluids has been used as a means of enhancing the thermal conductive properties of base fluids. This method formulates a heterogeneous fluid conferred by nanoparticles and can be used for high-end fluid heat-transfer applications, such as phase-change materials and fluids for internal combustion engines. These nanoparticles can enhance the properties of both polar and nonpolar fluids. In the current paper, dispersions of nanoparticles were carried out in hydrocarbon and aqueous-based fluids using molecular dynamic simulations (MDS). The MDS results have been validated using the autocorrelation function and previous experimental data. Highly concurrent trends were achieved for the obtained results. According to the obtained results of MDS, adding CuO nanoparticles increased the thermal conductivity of water by 25% (from 0.6 to 0.75 W·m−1·K−1). However, by adding these nanoparticles to hydrocarbon-based fluids (i.e., alkane) the thermal conductivity was increased three times (from 0.1 to 0.4 W·m−1·K−1). This approach to determine the thermal conductivity of metal oxide nanoparticles in aqueous and nonaqueous fluids using visual molecular dynamics and interactive autocorrelations demonstrate a great tool to quantify thermophysical properties of nanofluids using a simulation environment. Moreover, this comparison introduces data on aqueous and nonaqueous suspensions in one study.

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“…On the contrary, larger mass aggregates have a negative effect on the stability of the nanofluid and, therefore, on heat transport properties [ 16 ]. Lotfizadeh et al [ 11 ], Prasher et al [ 17 ], Evans et al [ 18 ], and Liao et al [ 19 ], among others, developed models to predict the thermal conductivity of nanofluids based on the morphology of the aggregates. These works showed that the configuration of the nanoparticles and the morphological parameters of the aggregates can alter the effective conductivity of the nanofluids noticeably.…”

Section: Introductionmentioning

confidence: 99%

Modelling Thermal Conduction in Polydispersed and Sintered Nanoparticle Aggregates

2021

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Nanoparticle aggregation has been found to be crucial for the thermal properties of nanofluids and their performance as heating or cooling agents. Most relevant studies in the literature consider particles of uniform size with point contact only. A number of forces and mechanisms are expected to lead to deviation from this ideal description. In fact, size uniformity is difficult to achieve in practice; also, overlapping of particles within aggregates may occur. In the present study, the effects of polydispersity and sintering on the effective thermal conductivity of particle aggregates are investigated. A simulation method has been developed that is capable of producing aggregates made up of polydispersed particles with tailored morphological properties. Modelling of the sintering process is implemented in a fashion that is dictated by mass conservation and the desired degree of overlapping. A noticeable decrease in the thermal conductivity is observed for elevated polydispersity levels compared to that of aggregates of monodisperse particles with the same morphological properties. Sintered nanoaggregates offer wider conduction paths through the coalescence of neighbouring particles. It was found that there exists a certain sintering degree of monomers that offers the largest improvement in heat performance.

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Investigation on the aggregation structure of nanoparticle on the thermal conductivity of nanofluids by molecular dynamic simulations

Cited by 43 publications

References 30 publications

Correlating the Dipolar Interactions Induced Magneto‐Viscoelasticity and Thermal Conductivity Enhancements in Nanomagnetic Fluids

Correlating the Dipolar Interactions Induced Magneto‐Viscoelasticity and Thermal Conductivity Enhancements in Nanomagnetic Fluids

Comparative molecular dynamics simulations of thermal conductivities of aqueous and hydrocarbon nanofluids

Modelling Thermal Conduction in Polydispersed and Sintered Nanoparticle Aggregates

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