An experimental investigation into the effect of particle mixture ratio on specific heat capacity and dynamic viscosity of Al2O3-ZnO hybrid nanofluids

Wole‐Osho, Ifeoluwa; Okonkwo, Eric C.; Kavaz, Doğa; Abbasoğlu, Serkan

doi:10.1016/j.powtec.2020.01.015

Cited by 141 publications

(42 citation statements)

References 52 publications

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“…It is vital to note that the pH of the nanofluid is an important parameter that directly affects the long-term stability of the nanofluid. As observed by Wole-Osho et al [67], Okonkwo et al [48], and Wang et al [68] both conventional and hybrid nanofluids tend to be more stable as they become either more acidic or more alkaline. The overall stability of nanofluids is not just dependent on fluid pH but also on the nanofluid material, the synthesis technique, and the sonification time [45].…”

Section: Nanofluid Synthesis Techniques and Stabilitymentioning

confidence: 69%

“…Therefore, the stability of nanofluids is often measured by physical observation of the nanofluid. However, it is more accurate to measure the surface electrostatic repulsion force contained within the nanofluid zeta potential for a more accurate guide to the fluid's stability [48,67,68]. As seen in multiple studies, the stability of the nanofluids has a large range.…”

Section: Nanofluid Synthesis Techniques and Stabilitymentioning

confidence: 99%

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Nanofluids in Solar Thermal Collectors: Review and Limitations

et al. 2020

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Solar thermal collectors are systems that allow for the use of solar energy in thermal applications. These collectors utilize a heat transfer fluid to transport absorbed solar radiation to applications where they are needed. Scientists in a bid to improve the conversion efficiency of solar collectors have suggested different collector designs and improved collector materials. Over the last 25 years, the study of nanofluids and their applications have revolutionized material science, and nanotechnology has found applications in improving solar collector materials. This article reviews the impact of different nanomaterials on the efficiency of solar collectors. The study also outlines the limitations of applying nanofluids and discusses the long-term challenges of their application to solar collectors. Nanofluids have the potential to improve the overall efficiency of most solar collectors, however, the full potential of nanofluids in heat transfer applications cannot be completely achieved until some of the questions regarding hysteresis, stability, and the overall predictability of nanofluids are answered.

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Section: Nanofluid Synthesis Techniques and Stabilitymentioning

confidence: 69%

Section: Nanofluid Synthesis Techniques and Stabilitymentioning

confidence: 99%

Nanofluids in Solar Thermal Collectors: Review and Limitations

et al. 2020

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“…Kashi’ie et al 28 numerically investigated the flow properties for the dynamics of fluidic system and phenomena of heat transfer for a MHD flow of hybrid nanofluid (Al 2 O 3 /H 2 O) due to stretching sheet while considering the joule heat effects. Osho et al 29 discovered the flow characteristics of hybrid nanofluid (Al 2 O 3 -Zn/H 2 O) and noticed the significant effect of concentration of nanoparticles over the viscosity and specific heat of the flow. Aly et al 30 theoretically and numerically studied the MHD stagnation point flow over stretching sheet of hybrid nanofluid with dissipation and slip effects and observed a relationship between MHD and rate of heat transfer.…”

Section: Introductionmentioning

confidence: 99%

Numerical investigation for rotating flow of MHD hybrid nanofluid with thermal radiation over a stretching sheet

Shoaib

Raja

Sabir

et al. 2020

Sci Rep

164

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This research investigates the heat and mass transfer in 3-D MHD radiative flow of water based hybrid nanofluid over an extending sheet by employing the strength of numerical computing based Lobatto IIIA method. Nanoparticles of aluminum oxide (Al2O3) and silver (Ag) are being used with water (H2O) as base fluid. By considering the heat transfer phenomenon due to thermal radiation effects. The physical flow problem is then modeled into set of PDEs, which are then transmuted into equivalent set of nonlinear ODEs by utilizing the appropriate similarity transformations. The system of ODEs is solved by the computational strength of Lobatto IIIA method to get the various graphical and numerical results for analyzing the impact of various physical constraints on velocity and thermal profiles. Additionally, the heat transfers and skin friction analysis for the fluid flow dynamics is also investigated. The relative errors up to the accuracy level of 1e-15, established the worth and reliability of the computational technique. It is observed that heat transfer rate increases with the increase in magnetic effect, Biot number and rotation parameter.

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“…Al 2 O 3 nanoparticles are synthesised using the technique presented in Wole-Osho et al [51]. Al 2 O 3 produced from this synthesis method produced nanoparticles with an average particle size of 29 nm.…”

Section: Hybrid Nanofluid Synthesis Characterisation and Thermal Conmentioning

confidence: 99%

“…Zeta potential analysis was done at five pH values of 1, 4, 7, 10 and 12. The preparation technique and the stability performance of the nanofluid are presented in Wole-Osho et al [51].…”

Section: Hybrid Nanofluid Synthesis Characterisation and Thermal Conmentioning

confidence: 99%

An intelligent approach to predicting the effect of nanoparticle mixture ratio, concentration and temperature on thermal conductivity of hybrid nanofluids

Wole‐Osho

Okonkwo

Adun

et al. 2020

J Therm Anal Calorim

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Hybrid nanofluids are better heat transfer fluids than conventional nanofluids because of the combined properties of two or more nanoparticles. In this study, the thermal conductivity of Al 2 O 3-ZnO nanoparticles suspended in a base fluid of distilled water is investigated. The experiments were conducted for three mixture ratios (1:2, 1:1 and 2:1) of Al 2 O 3-ZnO nanofluid at five different volume concentrations of 0.33%, 0.67%, 1.0%, 1.33% and 1.67%. X-ray diffractometric analysis, X-ray fluorescence spectrometry and scanning electron microscopy were used to characterise the nanoparticles. The highest thermal conductivity enhancement achieved for Al 2 O 3-ZnO hybrid nanofluids with 1:2, 1:1 and 2:1 (Al 2 O 3 :ZnO) mixture ratios was 36%, 35% and 40%, respectively, at volume concentration 1.67%. The study observed the highest thermal conductivity for Al 2 O 3-ZnO nanofluid was achieved at a mixture ratio of 2:1. A "deeping" effect was observed at a mixture ratio of 1:1 representing the lowest value of thermal conductivity within the considered range. The study proposed and compared three models for obtaining the thermal conductivity of Al 2 O 3-ZnO nanofluids based on temperature, volume concentration and nanoparticle mixture ratio. A polynomial correlation model, the adaptive neuro-fuzzy inference system model and an artificial neural network model optimised with three different learning algorithms. The adaptive neuro-fuzzy inference system model was most accurate in forecasting the thermal conductivity of the Al 2 O 3-ZnO hybrid nanofluid with an R 2 value of 0.9946.

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An experimental investigation into the effect of particle mixture ratio on specific heat capacity and dynamic viscosity of Al2O3-ZnO hybrid nanofluids

Cited by 141 publications

References 52 publications

Nanofluids in Solar Thermal Collectors: Review and Limitations

Nanofluids in Solar Thermal Collectors: Review and Limitations

Numerical investigation for rotating flow of MHD hybrid nanofluid with thermal radiation over a stretching sheet

An intelligent approach to predicting the effect of nanoparticle mixture ratio, concentration and temperature on thermal conductivity of hybrid nanofluids

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