Experimental determination of thermophysical properties of Indonesian fly-ash nanofluid for heat transfer applications

Kanti, Praveen; Sharma, K.V.; Ramachandra, C. G.; Azmi, W.H.

doi:10.1080/02726351.2020.1806971

Cited by 34 publications

(14 citation statements)

References 34 publications

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“…The outcome of ball friction has impressively increased the surface area of FA, resulting in a particle size reduction. 9,10,36 Zeta sizer (Malvern Instruments) is a dynamic light scattering (DLS) analyzer and can determine the size distribution of nanoparticles after dispersion in the base fluid. For SEM images of FA nanoparticles with a particle size of 11.5, 55.5, and 89 nm are presented in our papers [5,9].…”

Section: Methodsmentioning

confidence: 99%

“…41,42 In addition, the presence of different metal oxides in different ratios in FA may have driven the TC enhancement even in amorphous structures. 10 Figure 7 shows the TC ratio of FA NF at various temperatures and particle sizes. The TC ratio significantly enhances with increasing temperature and reduction in particle size.…”

Section: Thermal Conductivitymentioning

confidence: 99%

“…NP, nanoparticle; TC, thermal conductivity rapidly triggered as the temperature rises, resulting in a significant amplification in heat transfer rates. 10,41,42 The temperature may influence TC enhancement by lowering viscosity, resulting in increased Brownian movement.…”

Section: Thermal Conductivitymentioning

confidence: 99%

“…Several industries, including oil, chemical engineering, and microelectronics, use NFs. [5][6][7][8][9][10] The effect of various parameters, such as base fluid, NP kind, particle size and shape, particle concentration, and temperature, has been considered in many experimental investigations on the TC and viscosity of NFs. Wang et al 11 analyzed the TC of Al 2 O 3 and CuO NPs distributed in water, EG, engine oil, and vacuum pump fluid.…”

mentioning

confidence: 99%

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Influence of particle size on thermal conductivity and dynamic viscosity of water‐based Indian coal fly ash nanofluid

Kanti¹,

Sharma

Sekhar

2021

Heat Trans

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Section: Methodsmentioning

confidence: 99%

Section: Thermal Conductivitymentioning

confidence: 99%

Section: Thermal Conductivitymentioning

confidence: 99%

mentioning

confidence: 99%

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Influence of particle size on thermal conductivity and dynamic viscosity of water‐based Indian coal fly ash nanofluid

Kanti¹,

Sharma

Sekhar

2021

Heat Trans

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“…combustion process to form a glassy amorphous material that has silica as the principal constituent. A small fraction of fly ash is used in the cement, concrete and the brick manufacturing industries, but the bulk of fly ash is commonly disposed of as landfill, thereby causing environmental pollution [30,31]. Kanti et al [32,33] have reported the use of fly ash to manufacture water-based nanofluids, which have been proposed as potential heat transfer media with superior heat transfer characteristics.…”

Section: Introductionmentioning

confidence: 99%

Production of oxalic acid from sawdust using coal fly ash as a catalyst

2021

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The production of oxalic acid from sawdust using a mixture of strong nitric acid and concentrated sulphuric acid with coal fly ash as a catalyst has been explored. Operating parameters affecting the reaction were determined to be temperature, mesh size and amount of fly ash catalyst, time and the $${\text{HNO}}_{3} :{\text{H}}_{2} {\text{SO}}_{4}$$ HNO 3 : H 2 SO 4 ratio. A maximum oxalic acid yield of 84% was obtained using a mixture of 60% $${\text{HNO}}_{3} {\text{ and }}40 \%{\text{ H}}_{2} {\text{SO}}_{4}$$ HNO 3 and 40 % H 2 SO 4 at 70 °C and a reaction time of 150 minutes. Coal fly ash with particle size of 50–100 μm proved to be a suitable and efficient catalyst, and the optimum quantity of catalyst employed was 5g of fly ash for every 100g of sawdust.

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Experimental study on the thermal properties of Al ₂ O ₃ ‐CuO /water hybrid nanofluids: Development of an artificial intelligence model

Kanti

Jamei³

et al. 2022

Intl J of Energy Research

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Summary In this work, Al2O3 and CuO nanoparticles were synthesized by a novel sol‐gel method. Then, water‐based Al2O3 and Al2O3‐CuO (50:50) nanofluids were produced by the two‐step method. The viscosity and thermal conductivity of nanofluids were determined for the concentration and temperature range of 0‐1.0 vol.% and 30‐60°C, respectively. Sodium dodecylbenzene sulfonate surfactant was used to enhance the nanofluid stability. Field emission scanning electron microscopy, transmission electron microscopy, and x‐ray diffraction techniques were used for the morphological characterization of the nanoparticles. The pH and zeta potential were used to determine the stability of the nanofluid. The outcomes show that the maximum augmentation in thermal conductivity and viscosity of hybrid nanofluid is 14.6 and 6.5% higher than Al2O3 nanofluid for 1.0 vol.% at 60 and 30°C, respectively. The maximum viscosity enhancement of Al2O3 and hybrid nanofluid is 14.9 and 21.4% is noticed at 30°C for a concentration of 1 vol. % relative to the base liquid. The novel equations were proposed to estimate the viscosity and thermal conductivity of hybrid nanofluid based on the experimental results with R2 values of 0.99 and 0.98, respectively. A cascaded forward neural network model was developed to predict the thermal properties using experimental datasets. The performance enhancement ratio of hybrid nanofluids indicated its potential for solar energy applications.

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Experimental determination of thermophysical properties of Indonesian fly-ash nanofluid for heat transfer applications

Cited by 34 publications

References 34 publications

Influence of particle size on thermal conductivity and dynamic viscosity of water‐based Indian coal fly ash nanofluid

Influence of particle size on thermal conductivity and dynamic viscosity of water‐based Indian coal fly ash nanofluid

Production of oxalic acid from sawdust using coal fly ash as a catalyst

Experimental study on the thermal properties of Al ₂ O ₃ ‐CuO /water hybrid nanofluids: Development of an artificial intelligence model

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Experimental determination of thermophysical properties of Indonesian fly-ash nanofluid for heat transfer applications

Cited by 34 publications

References 34 publications

Influence of particle size on thermal conductivity and dynamic viscosity of water‐based Indian coal fly ash nanofluid

Influence of particle size on thermal conductivity and dynamic viscosity of water‐based Indian coal fly ash nanofluid

Production of oxalic acid from sawdust using coal fly ash as a catalyst

Experimental study on the thermal properties of Al 2 O 3 ‐CuO /water hybrid nanofluids: Development of an artificial intelligence model

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Product

Resources

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Experimental study on the thermal properties of Al ₂ O ₃ ‐CuO /water hybrid nanofluids: Development of an artificial intelligence model