2020
DOI: 10.1007/s11696-020-01168-4
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Experimental investigation of rheological behavior of fullerene/hydraulic oil nanofluid

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Cited by 10 publications
(4 citation statements)
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“…Since this time, many papers concerning nanofluids have been published and their number increase from year to year. Carbon-based material as new type of nanomaterials including multiwalled carbon nanotubes [2,3], nanofibers [4], graphene [2,5] or fullerenes [6,7,8] are largely considered. Also, more regular and traditional materials, such as metals [9] or oxides [10], are used in the preparation of nanofluids and show interesting thermophysical properties.…”
Section: Introductionmentioning
confidence: 99%
“…Since this time, many papers concerning nanofluids have been published and their number increase from year to year. Carbon-based material as new type of nanomaterials including multiwalled carbon nanotubes [2,3], nanofibers [4], graphene [2,5] or fullerenes [6,7,8] are largely considered. Also, more regular and traditional materials, such as metals [9] or oxides [10], are used in the preparation of nanofluids and show interesting thermophysical properties.…”
Section: Introductionmentioning
confidence: 99%
“…To optimize the viscosity of an oil-based fullerene nanofluid, Ahmadi et al. [ 34 ], attempted an experimental study on such material. Nanofluids were prepared with a homogenizer using the two-step method.…”
Section: Introductionmentioning
confidence: 99%
“…Among the thermophysical properties 10–12 of the fluid, thermal conductivity (TC) 13–15 and dynamic viscosity play important roles in heat transfer behavior. The addition of nanoparticles increases TC and dynamical viscosity of NF 16–28 . Hemmat Esfe research group 29–31 have conducted extensive studies on the thermophysical properties of nanofluids and their optimization.…”
Section: Introductionmentioning
confidence: 99%
“…The addition of nanoparticles increases TC and dynamical viscosity of NF. [16][17][18][19][20][21][22][23][24][25][26][27][28] Hemmat Esfe research group [29][30][31] have conducted extensive studies on the thermophysical properties of nanofluids and their optimization. Providing accurate models to control viscosity and thermal conductivity using intelligent methods such as neural networks is one of their results.…”
Section: Introductionmentioning
confidence: 99%