Effect of particle size on thermophysical and heat transfer properties of Ag nanofluid in a radiator – an experimental investigation

Dhairiyasamy, Ratchagaraja; Saleh, B.; Govindasamy, Mohan; Aly, Ayman A.; Afzal, Asif; Abdelrhman, Yasser

doi:10.1080/24701556.2021.1980041

Cited by 16 publications

(11 citation statements)

References 31 publications

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“…R-squared" values 0.9801 and 0.9996, respectively, is almost good with each other. "Adequate precision" is described as the ratio of signal and noise factors that should be greater than 4 [68][69][70][71][72]. According to Table 2, the ratio of both models is 203.273 and 34.722, indicating satisfactory signals.…”

Section: Resultsmentioning

confidence: 99%

An Experimental Study of ZrO₂‐CeO₂ Hybrid Nanofluid and Response Surface Methodology for the Prediction of Heat Transfer Performance: The New Correlations

Vidhya

Balakrishnan

Kumar³

et al. 2022

Journal of Nanomaterials

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This article experimentally and statistically reports the convective heat transfer performance of a cylindrical mesh-type heat pipe apparatus filled with ZrO2-CeO2/water-ethylene glycol nanofluids. In this regard, ZrO2-CeO2 nanoparticles were synthesized and characterized through the Scanning Electron Microscope and Powder X-ray diffraction methods followed by the preparation of hybrid ZrO2-CeO2 nanofluids of various concentrations ranging from 0.025 to 0.1%. The heat transfer features of a tubular heat pipe with a mixture of the ZrO2-CeO2 nanofluid were evaluated. A 5.33% decrease in thermal resistance value and a 41.16% increase in heat transfer ability with increased power input were observed. The potent regression models were proposed to estimate heat transfer features of the heat pipe. The ANOVA statistical method has been employed to determine the P value and the F value of the models towards enhancing the reliability and accuracy of the developed models. The outcome revealed that the proposed models are reliable and have the best fit with the experimental data for 30–60 W power. The correlations’ results were validated against the experimental data and showed high accuracy. Moreover, the accuracy of the developed models was ensured through R -squared and adjusted R -squared values.

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Section: Resultsmentioning

confidence: 99%

An Experimental Study of ZrO₂‐CeO₂ Hybrid Nanofluid and Response Surface Methodology for the Prediction of Heat Transfer Performance: The New Correlations

Vidhya

Balakrishnan

Kumar³

et al. 2022

Journal of Nanomaterials

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“…A large number of steels undergo martensitic transformations at CR 300 and CR 200 . The plots of critical cooling parameters reveal that, at essential temperatures of quenching, nanofluids achieve better cooling rates than water. − That suggests that nanofluids have a greater hardness when quenched. To examine this behavior, the researchers examined the thermophysical characteristics of the nanofluids.…”

Section: Resultsmentioning

confidence: 99%

Heat Transfer Characteristics of Fullerene and Titania Nanotube Nanofluids under Agitated Quench Conditions

Quadros

Khan

Prashanth³

et al. 2022

ACS Omega

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Distilled water and aqueous fullerene nanofluids having concentrations of 0.02, 0.2, and 0.4 vol % and titania (titanium dioxide, TiO2) nanofluids of 0.0002, 0.002, and 0.02 vol % were analyzed for heat transfer characteristics. Quenching mediums were stirred at impeller speeds of 0, 500, 1,000, and 1,500 RPMs in a typical Tensi agitation system. During the quenching process, a metal probe made of ISO 9950 Inconel was used to record the temperature history. The inverse heat conduction method was used to calculate the spatial and temporal heat flux. The nanofluid rewetting properties were measured and matched to those of distilled water. The maximum mean heat flux was 3.26 MW/m2, and the quickest heat extraction was 0.2 vol % fullerene nanofluid, according to the results of the heat transfer investigation.

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“…Because the tetrahedral and octahedral sites are filled by the divalent (Co 2+ ) and trivalent (Al 3+ ) metal ions, cobalt aluminate nanoparticles have such a ferromagnetic nature and a characteristic spinel structure. The high anisotropy, cationic redistribution, and exterior defect of cobalt aluminate nanoparticles are found to be responsible for the coercivity values of pure and Sr-doped cobalt aluminate (270.59 Oe) [117]. As shown in Figure 7, both Mr and Ms values are 5.08 emu/g and 20.54 emu/g, respectively.…”

Section: Magnetization Analysismentioning

confidence: 89%

Structural Morphology and Optical Properties of Strontium-Doped Cobalt Aluminate Nanoparticles Synthesized by the Combustion Method

Kanithan

Vignesh²,

Baskar³

et al. 2022

Materials

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The study of structural morphology and the optical properties of nanoparticles produced by combustion methods are gaining significance due to their multifold applications. In this regard, in the present work, the strontium-doped cobalt aluminate nanoparticles were synthesized by utilizing Co1−xSrxAl2O4 (0 ≤ x ≤ 0.5) L-Alanine as a fuel in an ignition cycle. Subsequently, several characterization studies viz., X-ray diffraction (XRD), energy-dispersive X-ray (EDX) analysis, high-resolution scanning electron microscopy (HRSEM), Fourier transform infrared spectroscopy (FTIR), ultraviolet (UV) spectroscopy and vibrating sample magnetometry (VSM) were accomplished to study the properties of the materials. The XRD analysis confirmed the cubic spinel structure, and the average crystallite size was found to be in the range of 14 to 20 nm using the Debye–Scherrer equation. High-resolution scanning electron microscopy was utilized to inspect the morphology of the Co1−xSrxAl2O4 (0 ≤ x ≤ 0.5) nanoparticles. Further, EDS studies were accomplished to determine the chemical composition. Kubelka–Munk’s approach was used to determine the band gap, and the values were found to be in the range of 3.18–3.32 eV. The energy spectra for the nanoparticles were in the range of 560–1100 cm−1, which is due to the spinel structure of Sr-doped CoAl2O4 nanoparticles. The behavior plots of magnetic induction (M) against the magnetic (H) loops depict the ferromagnetic behavior of the nanomaterials synthesized.

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Effect of particle size on thermophysical and heat transfer properties of Ag nanofluid in a radiator – an experimental investigation

Cited by 16 publications

References 31 publications

An Experimental Study of ZrO₂‐CeO₂ Hybrid Nanofluid and Response Surface Methodology for the Prediction of Heat Transfer Performance: The New Correlations

An Experimental Study of ZrO₂‐CeO₂ Hybrid Nanofluid and Response Surface Methodology for the Prediction of Heat Transfer Performance: The New Correlations

Heat Transfer Characteristics of Fullerene and Titania Nanotube Nanofluids under Agitated Quench Conditions

Structural Morphology and Optical Properties of Strontium-Doped Cobalt Aluminate Nanoparticles Synthesized by the Combustion Method

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Effect of particle size on thermophysical and heat transfer properties of Ag nanofluid in a radiator – an experimental investigation

Cited by 16 publications

References 31 publications

An Experimental Study of ZrO2‐CeO2 Hybrid Nanofluid and Response Surface Methodology for the Prediction of Heat Transfer Performance: The New Correlations

An Experimental Study of ZrO2‐CeO2 Hybrid Nanofluid and Response Surface Methodology for the Prediction of Heat Transfer Performance: The New Correlations

Heat Transfer Characteristics of Fullerene and Titania Nanotube Nanofluids under Agitated Quench Conditions

Structural Morphology and Optical Properties of Strontium-Doped Cobalt Aluminate Nanoparticles Synthesized by the Combustion Method

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Product

Resources

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An Experimental Study of ZrO₂‐CeO₂ Hybrid Nanofluid and Response Surface Methodology for the Prediction of Heat Transfer Performance: The New Correlations

An Experimental Study of ZrO₂‐CeO₂ Hybrid Nanofluid and Response Surface Methodology for the Prediction of Heat Transfer Performance: The New Correlations