An Analysis of Heat Conduction Models for Nanofluids

Quaresma, João Nazareno Nonato; Macêdo, Emanuel Negrão; Fonseca, Henrique Massard da; Orlande, Helcio R. B.; Cotta, Renato M.

doi:10.1080/01457631003689211

Cited by 17 publications

(9 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, if the viscosity is very high, there will be a penalty on the pumping power requirement to achieve the system's target. In the recent past, much research progress has been made on the thermal conductivity of nanofluids [22][23][24][25][26][27][28][29][30][31][32], which are a few of the copious works that can be found on theoretical and experimental reviews of the thermal conductivity of nanofluids. However, concerning the viscosity of nanofluids, very few theoretical models have been developed based on the unique properties of nanoparticles [2,33].…”

mentioning

confidence: 99%

The Viscosity of Nanofluids: A Review of the Theoretical, Empirical, and Numerical Models

Meyer

Adio

Sharifpur

et al. 2015

Heat Transfer Engineering

206

View full text Add to dashboard Cite

The enhanced thermal characteristics of nanofluids have made it one of the fastest-growing research areas in the last decade. Numerous researches have shown the merits of nanofluids in heat transfer equipment. However, one of the problems is the increase in viscosity due to the suspension of nanoparticles. This viscosity increase is not desirable in the industry, especially when it involves flow, such as in heat exchanger or micro-channel applications INTRODUCTIONColloidal suspension dates back to Maxwell's study in 1873 [1]. Though the idea behind his study was vivid, the imposed problems were too enormous for profitable engineering solutions [2]. In 1995, Choi [3] came up with a pioneering idea based on Maxwell's study and suspended ultrafine particles (nanoparticles) in conventional heat transfer fluids. His invention has opened up a myriad of opportunities in research and development. Nanofluids descriptively are colloidal suspensions containing metallic (Ag, Au, Al, Cu, Ni, etc.), non-metallic (single-and multi-wall carbon nanotube (SWCNT and MWCNT), Si, Graphene, etc.), metallic oxide (Al2O3, CuO, NiO2,TiO2, etc.) and oxides of non-metals (SiO2, SiC, MgO, CaCO3, etc.) nanoparticles suspended in conventional heat transfer fluids such as water, engine oil, ethylene glycol, transformer oil, gear oil or mixture of two or more heat transfer fluids [2,3]. When compared with previous microparticle suspensions in conventional heat transfer fluids, it is a special type of fluid with numerous applications potentials because of its enhanced thermal conductivity, stability and homogeneity [3,4]. Microscale particles in suspensions lead to abrasion, clogging of flow paths, pressure drop and high pumping power requirements, therefore, its sustainability was impossible. Besides, nanofluids can reduce the pumping power in engineering equipment significantly and do not pose the problem of clogging and abrasion of equipment flow paths [5][6][7][8]. Therefore, the design and engineering of physical systems are now being tailored towards using nanofluid as working fluid.The impact of colloidal suspension cuts across the fields of science, biological science, medical, pharmaceutical and engineering. In the context of sustainable energy development and thermal management, nanofluids are becoming more and more significant as the need for efficient thermal management is of paramount importance. Moreover, the level of miniaturisation of devices today as technology advances is overwhelming. Devices such as microprocessors, microelectromechanical systems (MEMS), nanoelectromechanical systems (NEMS), microchannels and lab-on-chips come with high-density heat flux that needs quick heat removal for 3 efficient performance, stability and durability, which, from all indications, could be provided by nanofluids for now [9][10][11][12]. The following are also emerging areas of applications of nanoparticles and nanofluids: (i) they could be useful in medicine in the targeted treatment of malignant cells without damaging healthy tis...

show abstract

mentioning

confidence: 99%

The Viscosity of Nanofluids: A Review of the Theoretical, Empirical, and Numerical Models

Meyer

Adio

Sharifpur

et al. 2015

Heat Transfer Engineering

206

View full text Add to dashboard Cite

show abstract

“…Many attempts have been made to formulate the effective thermal conductivity and dynamic viscosity of nanofluids [5][6][7][8]. Das et al [9] and Putra et al [10] have investigated a water-Al 2 O 3 suspension experimentally and found that by raising the Subscripts bf base fluid nf nanofluid p particle and solid phase nanofluid temperature, the effective thermal conductivity increases remarkably while the dynamic viscosity decreases.…”

Section: Introductionmentioning

confidence: 98%

Numerical investigation of semi-confined turbulent slot jet impingement on a concave surface using an Al2O3–water nanofluid

Ahmadi

Moghari

Esmailpour

et al. 2016

Applied Mathematical Modelling

View full text Add to dashboard Cite

a b s t r a c tThis paper presents and discusses results of a computational study of the flow field and heat transfer characteristics for a turbulent slot jet of an Al 2 O 3 -water nanofluid impinging normally on to a semi-circular concave surface. A wide range of various flow and geometrical parameters, including the nanoparticle volume fraction ( ), jet Reynolds number (Re), and jet-to-target distance (h/B) have been considered. The results are presented in terms of the streamline patterns, local and average Nusselt numbers, stagnation Nusselt number, shear stress distribution, and pumping power. The results show a significant improvement of heat transfer rate due to the presence of the nanoparticles in water. Moreover, for ratios of h/B greater than three, the maximum average heat transfer rate from the concave surface occurs at h/B = 5. An increase in the jet Reynolds number and nanoparticle concentration leads to an improved cooling performance of jet impingement on the concave surface. However, the elevated viscosity of the nanofluid has the adverse effect of increasing the pumping power needed per unit of heat transferred.

show abstract

“…Their results show that heat transfer mechanisms, such as phonon transport in the solid/liquid interface and electron transport, must be considered to estimate the exact thermal conductivity of nanofluid. The mechanism of heat transfer intensification, recently brought about by nanofluids is analyzed by Quaresma et al (2010) in the light of the non-Fourier dual-phase-lagging heat conduction model. The mathematical formulation for this problem is analytically solved with the classical integral transform technique, thus providing benchmark results for the temperature predicted with the dual-phase-lagging model.…”

Section: Introductionmentioning

confidence: 99%

The effect of magnetic field and nanofluid on thermal performance of two-phase closed thermosyphon (TPCT)

Heris¹,

Salehi²,

Noie³

2012

Int. J. Phys. Sci.

View full text Add to dashboard Cite

The efficiency of two-phase closed thermosyphon (TPCT) with nanofluid as working fluid under magnetic field effect was investigated experimentally. In this study, silver/water nanofluid with different concentration (20 to 80ppm) is tested. Also, magnetic field with various strength (0.12, 0.35 and 1.2 T) exerted to TPCT by permanent magnet. It was seen that the TPCT heat transfer performance and the thermophysical properties of the base fluid are considerably affected by the nanoparticles addition and magnetic field. According to the experimental result, the thermal efficiency of thermosyphon significantly increased with the nanoparticles concentration increasing as well as magnetic field strength, and the TPCT shows better performance in the highest value of concentration (80 ppm) and magnetic field (1.2 T). Moreover, the experimental results represent that thermal efficiency in the presence of magnetic field somewhat increases.

show abstract

An Analysis of Heat Conduction Models for Nanofluids

Cited by 17 publications

References 27 publications

The Viscosity of Nanofluids: A Review of the Theoretical, Empirical, and Numerical Models

The Viscosity of Nanofluids: A Review of the Theoretical, Empirical, and Numerical Models

Numerical investigation of semi-confined turbulent slot jet impingement on a concave surface using an Al2O3–water nanofluid

The effect of magnetic field and nanofluid on thermal performance of two-phase closed thermosyphon (TPCT)

Contact Info

Product

Resources

About