Water aluminum oxide nanofluid benchmark model

Saghir, M.Z.; Ahadi, Amirhossein; Mohamad, A. A.; Srinivasan, Seshasai

doi:10.1016/j.ijthermalsci.2016.06.002

Cited by 75 publications

(19 citation statements)

References 37 publications

(37 reference statements)

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“…In the case of nanoliquid free convection inside the differentially heated square chamber, the obtained data were compared with experimental results of Ho et al [22] and numerical results of Saghir et al [23]. Table 1 shows a very good agreement between the considered data.…”

Section: Numerical Techniquementioning

confidence: 71%

Impacts of Heat-Conducting Solid Wall and Heat-Generating Element on Free Convection of Al2O3/H2O Nanofluid in a Cavity with Open Border

et al. 2018

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Development of modern electronic devices demands a creation of effective cooling systems in the form of active or passive nature. More optimal technique for an origination of such cooling arrangement is a mathematical simulation taking into account the major physical processes which define the considered phenomena. Thermogravitational convection in a partially open alumina-water nanoliquid region under the impacts of constant heat generation element and heat-conducting solid wall is analyzed numerically. A solid heat-conducting wall is a left vertical wall cooled from outside, while a local solid element is placed on the base and kept at constant volumetric heat generation. The right border is supposed to be partially open in order to cool the local heater. The considered domain of interest is an electronic cabinet, while the heat-generating element is an electronic chip. Partial differential equations of mathematical physics formulated in non-primitive variables are worked out by the second order finite difference method. Influences of the Rayleigh number, heat-transfer capacity ratio, location of the local heater and nanoparticles volume fraction on liquid circulation and thermal transmission are investigated. It was ascertained that an inclusion of nanosized alumina particles to the base liquid can lead to the average heater temperature decreasing, that depends on the heater location and internal volumetric heat generation. Therefore, an inclusion of nanoparticles inside the host liquid can essentially intensify the heat removal from the heater that is the major challenge in different engineering applications. Moreover, an effect of nanosized alumina particles is more essential in the case of low intensive convective flow and when the heater is placed near the cooling wall.

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Section: Numerical Techniquementioning

confidence: 71%

Impacts of Heat-Conducting Solid Wall and Heat-Generating Element on Free Convection of Al2O3/H2O Nanofluid in a Cavity with Open Border

et al. 2018

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“…The results of the existing code are also substantiated by the outcomes of a benchmark numerical study of Saghir et al (2016) and an experimental study of Ho et al (2010). The comparative results with the experimental ave Nu are displayed in Fig.…”

Section: Code Validationmentioning

confidence: 76%

Numerical simulation of convective heat transport within the nanofluid filled vertical tube of plain and uneven side walls

Uddin¹,

Hoque²,

Rahman³

et al. 2019

International Journal of Thermofluid Science and Technology

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Two-dimensional transient natural convective flow in a vertical tube of plain and uneven side-walls containing cobalt-kerosene nanofluids is analyzed using a nonhomogeneous dynamic model. The vertical right wall of the enclosure is maintained at a constant low temperature and the left wall is heated by a uniform thermal condition whereas the horizontal side-walls are insulated. The Brownian motion and thermophoretic phenomena of the nanoparticles are considered in the model. The governing nonlinear momentum, energy, and concentration equations are solved numerically using a Galerkin weighted residual finite element method. The thermal, flow and concentration fields are obtained to understand the flow dynamics of cobalt-kerosene nanofluid in two types of enclosures. The local and average Nusselt numbers are analyzed for plain and uneven side walls of the tube for different parameters of the problem. The simulated results are compared with the experimental as well as with the numerical data available in the literature for some special cases. The outcomes show that the tube of having uneven vertical side-walls give higher heat transfer for lower values of the thermal Rayleigh number; whereas for the higher values of the thermal Rayleigh number, the tube of plain vertical side-walls exhibit significantly higher heat transfer rate.

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“…Experimental measurement and numerical computation of the temperature, the Nusselt number, and the nondimensional temperature (Q = 0.22 USGPM)…”

Section: Resultsmentioning

confidence: 99%

“…It is believed that the result would have been different if the thermal conductivity of the nanofluid was taken into consideration. The reason for this discrepancy also lies in the high FIGURE 3 Variation of the specific heat with temperature for two different mixtures 11 FIGURE 4 Experimental measurement and numerical computation of the temperature, the Nusselt number, and the nondimensional temperature (Q = 0.22 USGPM) [29][30][31][32] flow rate for this case, which overcomes the nanofluid effect. Figure 5 presents an identical case to Figure 4 but with a lower flow rate of 0.18 USGPM.…”

Section: Resultsmentioning

confidence: 99%

Experimental measurements and numerical computation of nanofluid and microencapsulated phase change material in porous material

Saghir

Bayomy

2019

Int J Energy Res

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Summary The electronic industry is increasingly investigating different approaches for the cooling of electronic equipment. The use of bulk phase change materials is also a promising approach for energy storage. The introduction of microencapsulated phase change materials combined with nanofluids can be beneficial. The combined use of a nanofluid and a metallic porous material can be used to mitigate problems resulting from small thermal conductivity. This study investigated a ternary mixture of water with a nanofluid and a microencapsulated phase change material in a porous medium. The model was previously validated with experimental data using a 0.5%vol concentration nanofluid in water. The results revealed that heat storage capability can be achieved as long as the microencapsulated phase change materials, which consists of encapsulated eicosane, is at a concentration of 20%. Because the melting temperature of microencapsulated phase change materials is approximately 36°C, energy storage at a low flow rate and heat flux is recommended.

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Water aluminum oxide nanofluid benchmark model

Cited by 75 publications

References 37 publications

Impacts of Heat-Conducting Solid Wall and Heat-Generating Element on Free Convection of Al2O3/H2O Nanofluid in a Cavity with Open Border

Impacts of Heat-Conducting Solid Wall and Heat-Generating Element on Free Convection of Al2O3/H2O Nanofluid in a Cavity with Open Border

Numerical simulation of convective heat transport within the nanofluid filled vertical tube of plain and uneven side walls

Experimental measurements and numerical computation of nanofluid and microencapsulated phase change material in porous material

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