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Energies
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Heat and Mass Transfer Mechanisms in Nanofluids
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Heat and Mass Transfer Mechanisms in Nanofluids

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "J1: Heat and Mass Transfer".

Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 4122

Special Issue Editor

Dr. Gabriela Huminic

E-Mail Website
Guest Editor
Department of Mechanical Engineering, Transilvania University of Brasov, 500036 Brasov, Romania
Interests: heat transfer; heat exchangers; heat pipes; nanofluids for heat transfer applications
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The objective of this Special Issue is to emphasize recent studies on new nanofluids (preparation methods and their stability mechanisms) in order to enhance their heat and mass transfer characteristics, as well their applications in various engineering systems, using numerical and experimental techniques.

The stability of nanofluids is essential for maintaining thermophysical properties over a  long time after their production. Thus, research on innovative solutions to obtain long-term stable nanofluids, as well as compact and economical engineering systems is particularly relevant.

The published papers will be useful for researchers in engineering, chemistry, physics, and mathematics.

Prof. Dr. Gabriela Huminic
Guest Editor

Manuscript Submission Information

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Keywords

  • heat transfer mechanisms
  • mass transfer mechanisms
  • conjugate heat and mass transfer
  • heat exchangers
  • absorption systems

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Published Papers (2 papers)

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Research

14 pages, 679 KiB  
Article
Spray Cooling Investigation of TiO2–Water Nanofluids on a Hot Surface
by Yunus Tansu Aksoy, Hendrik Cornelissen, Pinar Eneren and Maria Rosaria Vetrano
Energies 2023, 16(7), 2938; https://doi.org/10.3390/en16072938 - 23 Mar 2023
Cited by 8 | Viewed by 2122
Abstract
Spray cooling is a heat transfer technology that has already shown its advantages and limitations. There has been increasing interest from academia and industry in combining this technology with nanofluids as coolants, owing to their potential for heat transfer enhancement. Nevertheless, there is [...] Read more.
Spray cooling is a heat transfer technology that has already shown its advantages and limitations. There has been increasing interest from academia and industry in combining this technology with nanofluids as coolants, owing to their potential for heat transfer enhancement. Nevertheless, there is a lack of understanding of the physical mechanism leading to this enhancement with the presence of technical problems that prevent the use of nanofluids in spray cooling applications. In this study, we investigate the effect of water-based TiO2 nanofluids on both spray characteristics and heat transfer using an industrial full-cone pneumatic nozzle. For this purpose, three mass concentrations (0.05 wt.%, 0.1 wt.%, and 0.2 wt.%) were prepared and tested. We monitored the droplet sizes and velocity profiles with a particle dynamics analysis system. Moreover, the temporal temperature decrease of a heated aluminum block from 190 to 65 °C was measured via an infrared camera to calculate the heat transfer rate and heat transfer coefficient. The presence of nanoparticles is shown not to substantially alter the spray characteristics. Moreover, heat transfer is augmented mainly in the boiling regime due to more nucleation sites formed by the deposited nanoparticles. However, in the non-boiling regime, the contribution of adsorbed nanoparticles to the heat transfer enhancement diminishes. Overall, the aluminum block is cooled down 6%, 12%, and 25% faster than the DI water by the nanofluids at 0.05 wt.%, 0.1 wt.%, and 0.2 wt.%, respectively, including boiling and non-boiling regimes. Full article
(This article belongs to the Special Issue Heat and Mass Transfer Mechanisms in Nanofluids)
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17 pages, 3028 KiB  
Article
A Computational Scheme for Stochastic Non-Newtonian Mixed Convection Nanofluid Flow over Oscillatory Sheet
by Muhammad Shoaib Arif, Kamaleldin Abodayeh and Yasir Nawaz
Energies 2023, 16(5), 2298; https://doi.org/10.3390/en16052298 - 27 Feb 2023
Cited by 11 | Viewed by 1560
Abstract
Stochastic simulations enable researchers to incorporate uncertainties beyond numerical discretization errors in computational fluid dynamics (CFD). Here, the authors provide examples of stochastic simulations of incompressible flows and numerical solutions for validating these newly emerging stochastic modeling methods. A numerical scheme is constructed [...] Read more.
Stochastic simulations enable researchers to incorporate uncertainties beyond numerical discretization errors in computational fluid dynamics (CFD). Here, the authors provide examples of stochastic simulations of incompressible flows and numerical solutions for validating these newly emerging stochastic modeling methods. A numerical scheme is constructed for finding solutions to stochastic parabolic equations. The scheme is second-order accurate in time for the constant coefficient of the Wiener process term. The stability analysis of the scheme is also provided. The scheme is applied to the dimensionless heat and mass transfer model of mixed convective non-Newtonian nanofluid flow over oscillatory sheets. Both the deterministic and stochastic energy equations use temperature-dependent thermal conductivity. The stochastic model is more general than the deterministic model. The results are calculated for both flat and oscillatory plates. Casson parameter, mixed convective parameter, thermophoresis, Brownian motion parameter, Prandtl number, Schmidt number, and reaction rate parameter all impact the velocities, temperatures, and concentrations shown in the graphs. Under the influence of the oscillating plate, the results reveal that the concentration profile decreases with increasing Brownian motion parameters and increases with increasing thermophoresis parameters. The behavior of the velocity profile for the deterministic and stochastic models is provided, and contour plots for the stochastic model are also displayed. This article aims to provide a state-of-the-art overview of recent achievements in the field of stochastic computational fluid dynamics (SCFD) while also pointing out potential future avenues and unresolved challenges for the computational mathematics community to investigate. Full article
(This article belongs to the Special Issue Heat and Mass Transfer Mechanisms in Nanofluids)
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