Comparison of experimental data, modelling and non-linear regression on transport properties of mineral oil based nanofluids

Esfahani, Javad Abolfazli; Safaei, Mohammad Reza; Goharimanesh, Masoud; Oliveira, Letícia Raquel de; Goodarzi, Marjan; Shamshirband, Shahaboddin; Filho, Ênio Pedone Bandarra

doi:10.1016/j.powtec.2017.04.034

Cited by 91 publications

(18 citation statements)

References 45 publications

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“…It is observed that the increment in the thermal conductivity of the nanofluid is directly related to the thermal conductivity (k) of the nanoparticle material. This is verified by a comparison between solutions containing metal oxide inclusions [24,47,53,54] and metallic additives [47,53,55,56], with the latter presenting higher thermal conductivity values. Among these authors, Murshed et al [53] observed that the presence of 1% in volume of alumina nanoparticles (k = 30 W/m K) in ethylene-glycol and engine oil base fluids resulted in an augmentation of 10% in thermal conductivity, whereas the thermal intensification caused by the same volume of aluminum nanoparticles (k = 204 W/m K) was 20%.…”

Section: Thermal Conductivitymentioning

confidence: 64%

“…Finally, another way of obtaining stable nanofluids through two-step methods is to work with low volumetric concentrations of nanoparticles (\ 1%), as suggested by Zhang et al [46]. As an example, Esfahani et al [47] worked with mineral oil-based nanofluids prepared by a high-pressure homogenization method containing up to 0.05% in volume of silver, copper, or titanium oxide nanoparticles with no surfactants, and reported highly stable solutions even for 10 days after their preparation.…”

Section: Stabilizationmentioning

confidence: 99%

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Nanofluids for heat transfer applications: a review

Moreira

Ribatski

2018

J Braz. Soc. Mech. Sci. Eng.

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Since diluted suspensions of nanoparticles were first called nanofluids and presented as viable solutions for heat transfer applications, this subject has received much attention and related investigations have expanded to many paths. In order to comprehend how nanoscale-related effects could influence the macroscopic transport behavior of nanofluids under single or phase-change conditions, researchers have studied, for example, the stability of these solutions, variation of thermal and rheological properties, and the convective heat transfer behavior of a great variety of nanofillers in common fluids, mainly water. The deposition of nanofillers over heated surfaces has also been investigated due to the role of surface nanostructuring in modifying wettability, thermal resistance, and delaying the occurrence of critical heat flux. Despite the considerable number of publications regarding nanofluids, scattered results for transport properties or convective behavior of nanofluids under similar experimental conditions are often found, which hinders their applications due to a lack of comprehension on the mechanisms related to the behavior of these fluids and, consequently, to the difficulty in predicting it. In this context, this work concerns a review about the heat transfer behavior of nanofluids under single-phase flow, pool boiling, and flow boiling conditions. In general, there is a consensus that the heat transfer coefficient of single-phase flow is enhanced by the addition of nanoparticles to base fluids, although overall benefits of their application cannot be assured due to increases in viscosity. In contrast, either increase or decrease in heat transfer coefficient could be observed for pool and flow boiling conditions. Such behavior can be attributed to surface modifications due to interactions between the bare surface texture and the deposited nanoparticles; however, information on the surface texture is commonly missing in most works. Finally, the main mechanisms reported in the literature pointed out as responsible for the heat transfer coefficient behaviors are summarized, where it can be seen that modifications of transport properties and particles movements impact single-phase flow, while phase-change heat transfer is also influenced by variations of surface characteristics.

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Section: Thermal Conductivitymentioning

confidence: 64%

Section: Stabilizationmentioning

confidence: 99%

Nanofluids for heat transfer applications: a review

Moreira

Ribatski

2018

J Braz. Soc. Mech. Sci. Eng.

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“…Numerically, by nanoparticles radius enhancing from 1 nm to 3 nm the aggregation time of these atomic structures decreases from 1.41 ns to 1.29 ns. The classic Navier-Stokes approach are usually used for the simulation of nanofluid flow and heat transfer; however the particle base methods like MD would show better performance at micro and nano scales levels [42][43][44][45][46][47][48][49][50][51][52][53][54][55][56][57][58][59]. Based on present work achievements, we can say the nanoparticle radius variation is an important parameter for using of Ar/Fe3O4 atomic structure in various industrial applications.…”

Section: Time Evolution Of Simulated Structuresmentioning

confidence: 81%

Molecular Dynamics Study of Nanoparticles/argon Atoms Size Effects on Atomic Aggregation Phenomena in Ideal Platinum Nanochannel Affected by the External Magnetic Field

Karimipour

2021

Preprint

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In this paper, the computational method is used to describe the atomic behavior of Fe3O4 nanoparticles size effect on these nanoparticles aggregation phenomena in ideal platinum nanochannel and in the presence of outer magnetic major. In this work molecular dynamics (MD) method used and argon atoms described as base fluid. Technically, for the interaction between base fluid atoms, we used Lennard-jones (LJ) potential, while the nanochannel wall and nanoparticle structures are simulated. To calculate the atomic behavior of simulated systems, we report temperature, total energy, and distance of nanoparticles center of mass (COM) and time of aggregation phenomena. Our MD simulation results show the Fe3O4 nanoparticle size is an important factor in aggregation phenomenon occur. Numerically, by enlarging the Fe3O4 nanoparticle size, the aggregation time of Al2O3 nanoparticles changes from 1.41 ns to 1.29 ns. Further, the external magnetic field can be delayed this atomic phenomenon effectively.

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“…According to (18), (19) and (20), it can be known that (i) During stable operation, the magnetic conveyor belt is acted upon by the suspension force F z (in vertical direction) given by permanent magnet, the suspension running resistance F y in the (longitudinal) direction the conveyor belt moves and the lateral force F x in the side (lateral) direction of the conveyor belt. (ii) The suspension force, suspension running resistance and lateral force of magnetic conveyor belt all have a non-linear relation with speed.…”

Section: Discussionmentioning

confidence: 99%

“…The software of the test system includes NI-USB6210 built-in data acquisition program and data storage program written with VC6. The experimental data was analysed with Matlab, the arithmetic average value and mid-value were calculated, the pressure value of this point was measured, and the pressure distribution was drawn [19,20]. This paper mainly analyses the effect of air gap length on pressure distribution of magnetic conveyor belt when permanent magnets and their distribution remain unchanged at different loads.…”

Section: Experimental Methodsmentioning

confidence: 99%

Analysis and experimental research on air gap characteristics of permanent magnet low‐resistance belt conveyor

Wang

2018

IET Science, Measurement & Technology

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Comparison of experimental data, modelling and non-linear regression on transport properties of mineral oil based nanofluids

Cited by 91 publications

References 45 publications

Nanofluids for heat transfer applications: a review

Nanofluids for heat transfer applications: a review

Molecular Dynamics Study of Nanoparticles/argon Atoms Size Effects on Atomic Aggregation Phenomena in Ideal Platinum Nanochannel Affected by the External Magnetic Field

Analysis and experimental research on air gap characteristics of permanent magnet low‐resistance belt conveyor

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