Experimental investigation on thermal conductivity of water based nickel ferrite nanofluids

Karimi, Amir; Sadatlu, Mohamad Amin Abdolahi; Saberi, Behzad; Shariatmadar, Hamed; Ashjaee, Mehdi

doi:10.1016/j.apt.2015.08.015

Cited by 57 publications

(12 citation statements)

References 37 publications

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“…Patel et al [78] observed that the increments in thermal conductivity of the nanofluids were directly proportional to temperature. This result was in agreement with observations reported later by [34,39,55,80,81,88,95,99,100,104,109,[111][112][113][115][116][117][118]131]. Even in case of dispersing nanotubes in base fluids, the thermal conductivity enhancement increased with increasing temperature nonlinearly [28,79,102,119,147].…”

Section: Nanoparticle Thermal Conductivitysupporting

confidence: 93%

Experimental studies of nanofluid thermal conductivity enhancement and applications: A review

Tawfik

2017

Renewable and Sustainable Energy Reviews

298

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In many applications, there is a critical need for enhancing the poor thermal conductivity of conventional fluids in order to develop efficient heat transfer fluids. This requirement can be met through dispersing nanometric particles in a given base fluid such as water, ethylene glycol, oil or air. The resulting nanofluids enhanced thermal conductivity of the base fluids. In order to evaluate this enhancement, nanofluid thermal conductivity is required to be measured. Several methods and techniques are covered in the present contribution. In addition, enhancements recorded experimentally are reviewed and summarized. Different parameters affecting on such enhancement are covered, including: nanoparticle concentration, size, shape and thermal conductivity. In addition, base fluid type, nanofluid bulk temperature and dispersion techniques are also covered parameters. However, nanofluids have the potential to contribute in several practical applications including solar thermal, transportation, electronic cooling, medical, detergency and military applications. In the present work, a brief overview of evolution in the use of nanofluids in some applications has been presented. According to this contribution, there is a critical need for further fundamental and applications of nanofluids studies in order to understand the physical mechanisms of using nanofluids as well as explore different aspects of applications of nanofluids.

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Section: Nanoparticle Thermal Conductivitysupporting

confidence: 93%

Experimental studies of nanofluid thermal conductivity enhancement and applications: A review

Tawfik

2017

Renewable and Sustainable Energy Reviews

298

View full text Add to dashboard Cite

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“…The thermal behaviour of nanofluids containing various nanoparticles has been widely researched including Al2O3 [109], TiO2 [110,111], SiC [112] and NiFe2O4 [113]. Overall, it has been observed that the thermal conductivity of the MQL increases as the concentration of nanoparticles increases, although the linearity of the relationship is still in question [114].…”

Section: Carbon Nanotubes 3000mentioning

confidence: 99%

A review identifying the effectiveness of minimum quantity lubrication (MQL) during conventional machining

Boswell

Islam

Davies

et al. 2017

Int J Adv Manuf Technol

189

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Government legislation and public opinion are the main drivers behind the movement of manufacturing companies towards sustainable production. Fundamentally, companies want to avoid future financial penalties and the industry is therefore under pressure to adapt new techniques and practices in order to become environmentally friendly. The cost efficiency of metal cutting operations is highly dependent on accuracy, excellent surface finish and minimised tool wear and, to this end, has traditionally made abundant use of cutting fluid in machining operations. However, these cutting fluids have been a major contributor to environmental and health issues. In recent years an enormous effort to eradicate these adverse effects has been made with one important focus being the implementation of minimum quantity lubrication (MQL). In the present work the authors have reviewed the current state of the art in MQL with a particular focus on drilling, turning, milling and grinding machining operations.Overall it is concluded that MQL has huge potential as a substitute for conventional flood cooling.

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“…The thermal conductivity of NiFe 2 O 4 nanoparticles was considered by Karimi et al . 25 , and the highest improvement of 17.2% was observed for 2 vol.% nanoparticles at 55 °C.…”

Section: Introductionmentioning

confidence: 91%

Modeling and optimization of thermal conductivity and viscosity of MnFe2O4 nanofluid under magnetic field using an ANN

Amani

Kasaeian

et al. 2017

Sci Rep

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This research investigates the applicability of an ANN and genetic algorithms for modeling and multiobjective optimization of the thermal conductivity and viscosity of water-based spinel-type MnFe2O4 nanofluid. Levenberg-Marquardt, quasi-Newton, and resilient backpropagation methods are employed to train the ANN. The support vector machine (SVM) method is also presented for comparative purposes. Experimental results demonstrate the efficacy of the developed ANN with the LM-BR training algorithm and the 3-10-10-2 structure for the prediction of the thermophysical properties of nanofluids in terms of the significantly superior accuracy compared to developing the correlation and employing SVM regression. Moreover, the genetic algorithm is implemented to determine the optimal conditions, i.e., maximum thermal conductivity and minimum nanofluid viscosity, based on the developed ANN.

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Experimental investigation on thermal conductivity of water based nickel ferrite nanofluids

Cited by 57 publications

References 37 publications

Experimental studies of nanofluid thermal conductivity enhancement and applications: A review

Experimental studies of nanofluid thermal conductivity enhancement and applications: A review

A review identifying the effectiveness of minimum quantity lubrication (MQL) during conventional machining

Modeling and optimization of thermal conductivity and viscosity of MnFe2O4 nanofluid under magnetic field using an ANN

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