Assorted kerosene-based nanofluid across a dual-zone vertical annulus with electroosmosis

Abdelsalam, Sara I.; Alsharif, Abdullah M.; Elmaboud, Y. Abd; Abdellateef, A. I.

doi:10.1016/j.heliyon.2023.e15916

Cited by 69 publications

(16 citation statements)

References 51 publications

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“…Other bioinformatics techniques are also being investigated, including the prediction of lncRNA-miRNA interactions [ [30] , [31] , [32] ], the development of microRNA combination biomarkers [ [33] , [34] , [35] ], and others [ 36 , 37 ]. The usage of deep learning [ 38 , 39 ], machine learning techniques [ 40 ], and material technology [ [41] , [42] , [43] , [44] ] in ERFE research will be discussed in the following stage.…”

Section: Discussionmentioning

confidence: 99%

Multicomponent comprehensive confirms that erythroferrone is a molecular biomarker of pan-cancer

Cai,

Gao,

et al. 2024

Heliyon

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Section: Discussionmentioning

confidence: 99%

Multicomponent comprehensive confirms that erythroferrone is a molecular biomarker of pan-cancer

Cai,

Gao,

et al. 2024

Heliyon

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“…It is well known that a confined fluid's phase behavior differs from that of the bulk [1][2][3][4]. In particular, under nanoscale confinement, the observed phase behavior is influenced by liquid-wall/pore interactions.…”

Section: Introductionmentioning

confidence: 99%

A facile way of controlling capillary condensation: particle-based crystal

Jiao,

McCarthy

2024

Mater. Res. Express

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To demonstrate a facile method to control capillary condensation via the design of confined geometric structures, we use a particle self-assembly technique to fabricate porous materials with well-defined pore sizes. Four groups of silica particles were synthesized using the modified Stober method, and these groups of particles were then arranged in closely packed structures. Quantitative predictions of capillary condensation were made based on the Kelvin equation and an approximation of the geometric structures of our closely packed samples. Experimental observations revealed that water uptake at 100% relative humidity reached 40-50% relative to particle mass across sizes, closely aligning with theoretical predictions for small-particle systems, despite the fact that the geometry of some of the confined spaces corresponds to distances smaller than 10 nm. Despite deviation from theoretical predictions that are observed in larger particle systems, and which can be attributed primarily to practical limitations of attainable ordered structures at these scales, this fabrication method shows great potential for the creation of devices that allow facile control of capillary condensation in relevant applications such as vapor capture and humidity control.

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“…Due to their wider side surfaces, spiral pipes have greater thermal efficiency, which increases the use of their heat exchangers in the industry. 4–7…”

Section: Introductionmentioning

confidence: 99%

Numerical investigation and artificial brain structure-based modeling to predict the heat transfer of hybrid Ag/Au nanofluid in a helical tube heat exchanger

Abazari Bahnemiri,

Oloomi,

Mirjalily

et al. 2023

Advances in Mechanical Engineering

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In recent years, due to the low thermal coefficients of common fluids and the increase in size and cost of heat exchangers, technologies for improving heat transfer and reducing dimensions have been developed and widely used in industries such as refrigeration, cooling of processing cells, chemical industries, and more. Previously, increasing heat exchange capacity in heat exchangers was achieved by altering parameters such as boundary conditions, flow geometry, heat exchanger geometry, or changing the type of fluid. Additionally, apart from the use of nanofluids, various other operational methods can be employed to improve the thermal performance of heat exchangers. Accordingly, considering the combination of the aforementioned innovative techniques, this study presents the modeling of flow and heat transfer inside helically coiled tube heat exchangers under the flow of nanofluids containing nickel, gold, silver, and gold/silver hybrid nanoparticles using numerical and artificial intelligence methods. In this study, the effect of variations in the inner diameter of the coiled tube and the volume fraction of nanoparticles was examined. The results showed that increasing the inner diameter and volume fraction of nanoparticles leads to an increase in heat transfer coefficient and Nusselt number, while the friction factor decreases with an increase in Reynolds number and increases with an increase in diameter and volume fraction. Finally, the accuracy and validity of the model were evaluated using statistical parameters and experimental results, which showed a 99.9% level of agreement between the predicted and experimental outcomes.

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Assorted kerosene-based nanofluid across a dual-zone vertical annulus with electroosmosis

Cited by 69 publications

References 51 publications

Multicomponent comprehensive confirms that erythroferrone is a molecular biomarker of pan-cancer

Multicomponent comprehensive confirms that erythroferrone is a molecular biomarker of pan-cancer

A facile way of controlling capillary condensation: particle-based crystal

Numerical investigation and artificial brain structure-based modeling to predict the heat transfer of hybrid Ag/Au nanofluid in a helical tube heat exchanger

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