Thermal conductivity measurement of spinel-type ferrite MnFe2O4 nanofluids in the presence of a uniform magnetic field

Amani, Mohammad; Amani, Pouria; Kasaeian, Alibakhsh; Mahian, Omid; Wongwises, Somchai

doi:10.1016/j.molliq.2016.12.013

Cited by 110 publications

(31 citation statements)

References 21 publications

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“…[93][94][95][96][97][98][99][100][101][102][103][104] on the thermal conductivity of EG-based nanofluids and Refs. [105][106][107][108][109][110][111][112][113] on the thermal conductivity of water based nanofluids, as well as comprehensive reviews such as Refs. [114][115][116][117][118][119][120][121][122][123].…”

Section: Experimental Based Correlationsmentioning

confidence: 99%

Recent advances in modeling and simulation of nanofluid flows-Part I: Fundamentals and theory

et al. 2019

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It has been more than two decades since the discovery of nanofluids-mixtures of common liquids and solid nanoparticles less than 100 nm in size. As a type of colloidal suspension, nanofluids are typically employed as heat transfer fluids due to their favorable thermal and fluid properties. There have been numerous numerical studies of nanofluids in recent years (more than 1000 in both 2016 and 2017, based on Scopus statistics). Due to the small size and large numbers of nanoparticles that interact with the surrounding fluid in nanofluid flows, it has been a major challenge to capture both the macro-scale and the nano-scale effects of these systems without incurring extraordinarily high computational costs.To help understand the state of the art in modeling nanofluids and to discuss the challenges that remain in this field, the present article reviews the latest developments in modeling of nanofluid flows and heat transfer with an emphasis on 3D simulations. In part I, a brief overview of nanofluids (fabrication, applications, and their achievable thermo-physical properties) will be presented first.Next, various forces that exist in particulate flows such as drag, lift (Magnus and Saffman), Brownian, thermophoretic, van der Waals, and electrostatic double layer forces and their significance in nanofluid flows are discussed. Afterwards, the main models used to calculate the thermophysical properties of nanofluids are reviewed. This will be followed with the description of the main physical models presented for nanofluid flows and heat transfer, from single-phase to Eulerian and Lagrangian two-phase models. In part II, various computational fluid dynamics (CFD) techniques will be presented. Next, the latest studies on 3D simulation of nanofluid flow in various regimes and configurations are reviewed. The present review is expected to be helpful for researchers working on numerical simulation of nanofluids and also for scholars who work on experimental aspects of nanofluids to understand the underlying physical phenomena occurring during their experiments.

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Section: Experimental Based Correlationsmentioning

confidence: 99%

Recent advances in modeling and simulation of nanofluid flows-Part I: Fundamentals and theory

et al. 2019

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“…Due to the large interfacial contact area of packed columns, there has been interest in evaluating their performance under a magnetic field. Recently, Amani et al [168] investigated the effect of MnFe 2 O 4 nanoparticles, due to the excellent magnetic properties of manganese ferrites [163,165,169], on the mass transfer performance of a packed extraction column in the presence of magnetic fields of different strengths. A quadrupole magnetic field (Fig.…”

Section: Magnetic Nanoparticles Under a Magnetic Fieldmentioning

confidence: 99%

A critical review on the use of nanoparticles in liquid–liquid extraction

Amani

Ahmadi

et al. 2018

Chemical Engineering Science

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Recently, the use of nanoparticles in extraction columns has gained increasing attention due to their potential to enhance mass transfer processes. Most of the reported work, however, has been concerned with mass transfer enhancement in gas-liquid systems in the presence of nanoparticles, while limited studies of liquid-liquid systems have been reported. Liquidliquid extraction is an extensively employed separation method that has taken on a substantial role in engineering and industrial applications for recovery processes. Therefore, the aim of this review article is to provide an overview of the state-of-the-art from the available literature on the effect of nanoparticles on the hydrodynamic behavior and mass transfer performance of liquid-liquid systems. Attention is also given to providing an understanding of the mechanisms responsible for the improvements in mass transfer with the use of nanoparticles. In the majority of studies, the presence of nanoparticles was found to be beneficial and to lead to improved mass transfer, although a few investigations reported a detrimental impact of nanoparticles. The literature does not clearly describe the conditions under which the addition of nanoparticles would be unfavorable. Moreover, the addition of nanoparticles always introduces potential drawbacks, such as sedimentation, accumulation, or clogging inside extraction columns, as well as the need to separate the nanoparticles at the outlets. These drawbacks have not been considered in the literature, limiting the practical employment of nanoparticles in this industry.

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“…17,18 Table 1 presents well-known theoretical models along with some considerations, briefly. [28][29][30][31][32] Using nanofluids allows heat exchangers, [33][34][35][36][37][38] heating, ventilation, and air conditioning (HVAC systems), 39 and microchannels 40 to reduce energy consumption and dramatically increase performance. [25][26][27] Researchers have approved and utilized Choi's concept in their engineering problems.…”

Section: Introductionmentioning

confidence: 99%

Optimal characteristics and heat transfer efficiency of SiO ₂ /water nanofluid for application of energy devices: A comprehensive study

et al. 2019

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Summary In a comprehensive study, the thermal conductivity, dynamic viscosity, and the rheological behavior of a SiO2/water nanofluid are investigated experimentally at the temperatures, solid concentrations, and the shear rates of 25°C to 50°C, 0% to 1.5%, and 400 to 1400(s−1), respectively. The Response Surface Methodology (RSM) is utilized to obtain regression models for the thermal conductivity and the dynamic viscosity. Subsequently, the sensitivity of the aforementioned models to 10% changes in the temperature, and the nanofluid concentration is analyzed. Afterward, Nondominated Sorting Genetic Algorithm II (NSGA‐II) is utilized to find the maximum thermal conductivity and the minimum viscosity. The nondominated optimal points are presented through a fitted correlation on a Pareto front to make the results more practical. The measurements of the investigated nanofluid could be summarized as a paper of a handbook. The workability of the investigated nanofluid is also examined in both laminar and turbulent flow regimes through analysis of the heat transfer merit graphs. To this end, the ratio of the dynamic viscosity enhancement to the thermal conductivity enhancement and the Mouromtseff number are chosen as two criteria of the laminar and turbulent flow regimes, respectively. Finally, the results are compared with those for SiO2/glycerin and SiO2/ethylene glycol nanofluids to check the workability in different base fluids. From a thermal‐efficiency point of view, the SiO2/water nanofluid is not suggested for use in both laminar and turbulent pipe flows, except in temperatures higher than 30°C and volume concentrations lower than 1% for the case of laminar flow. This is because the favorable heat transfer enhancement of the nanofluid is more than the unfavorable increase of the pumping power. From the rheological point of view, though, a SiO2/water nanofluid would be a good choice in lubricating moving surfaces for both laminar and turbulent flow regimes. It is found that in higher nanofluid concentrations, the thermal conductivity of a SiO2/water nanofluid is highly influenced by temperature. Moreover, adding nanoparticles at temperatures of 35°C to 40°C would have the highest increasing effect on the thermal conductivity. It is also revealed that increasing the temperature does not significantly affect the viscosity when 1% SiO2 nanoparticles are suspended within the water.

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Thermal conductivity measurement of spinel-type ferrite MnFe2O4 nanofluids in the presence of a uniform magnetic field

Cited by 110 publications

References 21 publications

Recent advances in modeling and simulation of nanofluid flows-Part I: Fundamentals and theory

Recent advances in modeling and simulation of nanofluid flows-Part I: Fundamentals and theory

A critical review on the use of nanoparticles in liquid–liquid extraction

Optimal characteristics and heat transfer efficiency of SiO ₂ /water nanofluid for application of energy devices: A comprehensive study

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Thermal conductivity measurement of spinel-type ferrite MnFe2O4 nanofluids in the presence of a uniform magnetic field

Cited by 110 publications

References 21 publications

Recent advances in modeling and simulation of nanofluid flows-Part I: Fundamentals and theory

Recent advances in modeling and simulation of nanofluid flows-Part I: Fundamentals and theory

A critical review on the use of nanoparticles in liquid–liquid extraction

Optimal characteristics and heat transfer efficiency of SiO 2 /water nanofluid for application of energy devices: A comprehensive study

Contact Info

Product

Resources

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Optimal characteristics and heat transfer efficiency of SiO ₂ /water nanofluid for application of energy devices: A comprehensive study