Experimental study of boiling heat transfer for a novel type of GNP-Fe3O4 hybrid nanofluids blended with different nanoparticles

Ma, Xu; Yang, Song; Wang, Yan; Zhang, Yuni; Xu, Jingya; Yao, Shouguang; Vafai, Kambiz

doi:10.1016/j.powtec.2021.10.029

Cited by 27 publications

(3 citation statements)

References 45 publications

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“…According to the analysis results, similar characteristic peaks were observed for each nanomaterial. Specific peaks for nanocomposites were observed at 30.18°–30.68°, 35.53°–35.85°, 43.19°–43.67°, 53.58°–54.30°, 57.15°–57.57°, and 61.01°–63.22° and these results were consistent with the literature [ 79 , 80 ]. Additionally, specific GNP peaks were observed at 26.40° and 26.65° for the Fe:GNP (2:1) and Fe:GNP (1:1) nanocomposites [ 48 , 81 ].…”

Section: Resultssupporting

confidence: 92%

Removal of toxic Cr(VI) from aqueous medium with effective magnetic carbon-based nanocomposites

CİVAN ÇAVUŞOĞLU,

ÖZÇELİK,

BAYAZİT

2023

Turkish Journal of Chemistry

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Cr(VI), which has toxic effects, is a heavy metal and it must be removed from the environment due to the various damages it causes. In this study, the removal of Cr(VI) pollutants from aqueous solutions with Fe 3 O 4 -based materials using a batch adsorption technique was investigated. Magnetically modified graphene nanoplatelet (GNP)-based nanocomposites were prepared and their structures were characterized by FTIR, XRD, SEM, BET, and TGA techniques. The effects of various physicochemical parameters such as adsorbent dose, contact time, initial Cr(VI) solution concentration, pH, and the presence of coexisting ions (NaCl) on the adsorption process were investigated. Accordingly, the optimum conditions for Cr(VI) removal were determined. Nonlinear Langmuir, Freundlich, and Temkin isotherm models and pseudo-first-order, pseudo-second-order, and Bangham kinetic models were used to investigate the adsorption mechanism. The experimental data relatively fit the second-order kinetic model and the Freundlich isotherm model. The maximum adsorption capacities for pure Fe 3 O 4 (Fe:GNP 1:0), Fe:GNP (2:1), and Fe:GNP (1:1) nanocomposite materials at 298 K and pH of approximately 5 were obtained as 12.71 mg/g, 27.03 mg/g, and 62.27 mg/g, respectively. This result showed that Cr(VI) removal increased as the amount of GNP in the composite material increased. Generally, the results confirmed that magnetically modified GNP-based adsorbents are functional and promising materials that can be used for the removal of pollutants such as Cr(VI) from aqueous media.

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Section: Resultssupporting

confidence: 92%

Removal of toxic Cr(VI) from aqueous medium with effective magnetic carbon-based nanocomposites

CİVAN ÇAVUŞOĞLU,

ÖZÇELİK,

BAYAZİT

2023

Turkish Journal of Chemistry

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“…A limited work has been conducted on measuring wettability of nanouids using contact angle measurements. [27][28][29] From the overview of the literature, most of the work has been conducted on synthesis of oxide based mono and hybrid nano-uids using water as base uid by dispersing high concentration of particles in base uid for enhancing the thermophysical properties. This oxide based materials shows better performance in other elds such as supercapacitor and LED applications other than cooling applications.…”

Section: Introductionmentioning

confidence: 99%

Synthesis, thermophysical characterization and thermal performance analysis of novel Cu-MXene hybrid nanofluids for efficient coolant applications

Kumar,

Shaik

2023

RSC Adv.

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“…This method is time-consuming and labor-intensive, it is impossible to create models for all operating points, and it is difficult to obtain the optimal solution for the entire domain. Therefore, the combination of thermodynamic simulation calculations through intelligent optimization methods has become an effective technical approach [16][17][18][19]. Among them, the genetic algorithm (GA) has been widely used in engine operating condition optimization and external geometry optimization due to its randomness and ability to avoid becoming trapped in local minima [20,21].…”

Section: Introductionmentioning

confidence: 99%

Using a Genetic Algorithm to Achieve Optimal Matching between PMEP and Diameter of Intake and Exhaust Throat of a High-Boost-Ratio Engine

Yang

Cheng

et al. 2022

Energies

Self Cite

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With the increasingly stringent CO2 emission regulations, the degree of strengthening of the engines is increasing. Under high-pressure conditions, the airway throat parts of the intake and exhaust systems have a great influence on the flow loss of the diesel engine. The reasonable distribution of the throat area of the intake and exhaust ports in the limited cylinder headspace is key to improving the performance of supercharged engines. This study took a large-bore, high-pressure ratio diesel engine as the research object. Firstly, the three-dimensional (3D) flow simulation method was used to reveal the influence law of different throat areas on the engine intake and exhaust flow under steady-state conditions, and a steady-flow test bench was built to verify the accuracy of the simulation model and law. Secondly, based on the 3D steady-state calculation and test results, a more accurate one-dimensional simulation model was constructed, and a joint optimization simulation platform was established based on the dynamic data link library. On this basis, the mathematical description of the multi-objective optimization of airway throat size was established using machine learning methods, such as a genetic algorithm, the design domain and boundary conditions of variable parameters were clarified, and the collaborative optimization objective of integrated flow coefficient and flow loss is proposed to achieve the fast and accurate optimization of intake and exhaust throat diameters.

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Experimental study of boiling heat transfer for a novel type of GNP-Fe3O4 hybrid nanofluids blended with different nanoparticles

Cited by 27 publications

References 45 publications

Removal of toxic Cr(VI) from aqueous medium with effective magnetic carbon-based nanocomposites

Removal of toxic Cr(VI) from aqueous medium with effective magnetic carbon-based nanocomposites

Synthesis, thermophysical characterization and thermal performance analysis of novel Cu-MXene hybrid nanofluids for efficient coolant applications

Using a Genetic Algorithm to Achieve Optimal Matching between PMEP and Diameter of Intake and Exhaust Throat of a High-Boost-Ratio Engine

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