Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.5
2.7
Journals
Applied Sciences
Special Issues
Nanofluids and Their Applications 2019
share announcement

Nanofluids and Their Applications 2019

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Nanotechnology and Applied Nanosciences".

Deadline for manuscript submissions: closed (30 May 2019) | Viewed by 18515

Special Issue Editors

Prof. Dr. Guan Heng Yeoh

E-Mail Website
Guest Editor
Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW 2052, Australia
Interests: computational fluid dynamics; numerical heat and mass transfer; turbulence modelling using reynolds-averaging and large eddy simulation; combustion, radiation heat transfer, soot formation and oxidation, solid pyrolysis in fire modelling; fundamental studies in multiphase flows: free surface, gas-particle, liquid-particle, gas-liquid (bubbly and subcooled nucleate boiling), freezing/solidification and liquid-gas-solid; computational modelling of magnetic micro-particles in mechanical dampers; computational modelling of magnetic drug delivery and targeting; computational modelling of nanofluids with heat transfer; computational modelling of industrial systems of single-phase such as in HVAC (heating, ventilation and air conditioning); computational modelling of industrial systems of multiphase flows (heat exchangers, boilers and nuclear reactors, cryogenics)
Special Issues, Collections and Topics in MDPI journals
Dr. Sherman Cheung

E-Mail Website
Guest Editor
STEM College, School of Engineering, RMIT University, Bundoora, VIC 3083, Australia
Interests: computational fluid dynamics; combustion, soot formation and oxidation, fire whirls in fire modelling; population balance of gas–liquid bubbly flows, bubble coalescence and breakage, gas–liquid interfacial momentum exchange; computational methods in design optimization, surrogate methods, coupling with artificial intelligence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Nanofluids are engineered colloidal suspensions of nanometer-sized particles in a base fluid of water, ethylene glycol or oil. Such fluids can be fundamentally characterized by Brownian agitation, in which they can then overcome the settling motion of the so-called nanoparticles due to gravity.

Nanofluids have been extensively used in a wide variety of engineering applications. For heat transfer processes, this has been primarily driven by the potential of developing fluids with significantly-increased conductive and convective heat transfer properties. Specific emphasis in boiling phenomena and absorption and conversion of radiation are some examples of the possible utilizations of nanofluids. Other non-heat transfer applications that have considered the use of nanofluids include emerging synthesis techniques, mass transport, optics, consumer goods, electronics, and surfaces and catalysts.

A stable nanofluid is theoretically possible, so long as the individual nanoparticles remain finely dispersed or the particle agglomerates remain small enough (usually <100 nanometers) in order to avoid large particle agglomerates from settling within the colloidal suspension. Maintaining this size is, however, the greatest challenge, since it is well known that nanoparticles have a tendency to agglomerate when they come into contact with each other.

This Special Issue is developed to review the current state-of-the-art of nanofluids due to the rapid advances and increasing control in nano-material fabrication techniques. Because of the complex behavior of nanofluids, fundamental and applied studies in nanofluids are welcome. Papers focusing on the expansion of nanofluid applications in diverse, multidisciplinary research and development are also welcomed.

Prof. Guan Heng Yeoh
Dr. Sherman Cheung
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Thermo-physical properties
  • Smart cooling
  • Nanofluidics
  • Magnetic responsive nanoparticles
  • Plasmonic resonance nanoparticles
  • Nanolubricants

Published Papers (5 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

18 pages, 16893 KiB  
Article
Natural Convection of Dusty Hybrid Nanofluids in an Enclosure Including Two Oriented Heated Fins
by Zehba A.S. Raizah
Appl. Sci. 2019, 9(13), 2673; https://doi.org/10.3390/app9132673 - 30 Jun 2019
Cited by 15 | Viewed by 2445
Abstract
In the current work, the natural convection of dusty hybrid nanofluids in an enclosure including two inclined heated fins has been studied via mathematical simulation. The inclined heated fins are arranged near to the enclosure center with variations on their orientations and lengths. [...] Read more.
In the current work, the natural convection of dusty hybrid nanofluids in an enclosure including two inclined heated fins has been studied via mathematical simulation. The inclined heated fins are arranged near to the enclosure center with variations on their orientations and lengths. The present simulation is represented by two systems of equations for the hybrid nanofluids that are dusty. The pressure distributions for the dusty phase and hybrid nanofluids phase are evaluated using a SIMPLE algorithm based on the finite volume method. The numerical results are examined using contours of the streamlines, isotherms for the hybrid nanofluids and velocity components for the dusty phase. In addition, the graphical illustrations for profiles of the local and average Nusselt numbers are presented. The main results reveal that an increase in the mixture densities ratio and dusty parameter reduces the rate of the heat transfer. Both the local and average Nusselt numbers are supported as the fins lengths increase regardless of the fins’ rotation. In addition, the nanoparticles volume fraction enhances the thermal boundary layer near the top wall. Full article
(This article belongs to the Special Issue Nanofluids and Their Applications 2019)
►▼ Show Figures

Figure 1

12 pages, 4102 KiB  
Article
Subatomic-Level Solid/Fluid Boundary of Lennard-Jones Atoms: A Molecular Dynamics Study of Metal-Inert Fluid Interface
by Yechan Noh, Truong Vo and BoHung Kim
Appl. Sci. 2019, 9(12), 2439; https://doi.org/10.3390/app9122439 - 14 Jun 2019
Cited by 5 | Viewed by 4428
Abstract
At the molecular scale, the definition of solid/fluid boundary is ambiguous since its defining precision is comparable to the size of the electron orbitals. It is important to figure out the sub-atomic-level solid/fluid boundary as the definition of the solid/fluid interface is related [...] Read more.
At the molecular scale, the definition of solid/fluid boundary is ambiguous since its defining precision is comparable to the size of the electron orbitals. It is important to figure out the sub-atomic-level solid/fluid boundary as the definition of the solid/fluid interface is related to estimating various properties such as slip length, Kapitza resistance, confined volume, thermodynamic properties, and material properties. In this work, molecular dynamics (MD) simulations were conducted to show the effects of the solid/fluid boundary on estimating thermodynamic properties. Our results reveal that the different definitions of solid/fluid boundary can cause a considerable impact on quantitative analysis and even qualitative analysis of a nanoscale system. The solid/fluid boundary for Lennard-Jones atoms is determined within sub-atomic precision via heat transfer MD simulations and microscopic heat flux relation. The result shows that solid/fluid boundary is slightly shifted to the fluid regime as the temperature increase. We suggested a mathematical expression of solid/fluid boundary of LJ atom that is theoretically estimated by ignoring the thermal vibration. The results presented in this work are expected to improve the accuracy of analyzing nanoscale phenomena as well as the continuum-based models for nanoscale heat and mass transport. Full article
(This article belongs to the Special Issue Nanofluids and Their Applications 2019)
►▼ Show Figures

Graphical abstract

16 pages, 13240 KiB  
Article
Applications of Nanofluids for the Thermal Enhancement in Radiative and Dissipative Flow over a Wedge
by Naveed Ahmed, Asifa Tassaddiq, Rana Alabdan, Adnan, Umar Khan, Saima Noor, Syed Tauseef Mohyud-Din and Ilyas Khan
Appl. Sci. 2019, 9(10), 1976; https://doi.org/10.3390/app9101976 - 14 May 2019
Cited by 37 | Viewed by 3402
Abstract
The colloidal analysis for H2O and EG (Ethylene Glycol) by considering the influence of radiative heat flux and viscous dissipation is not performed so far. This study is performed to fill up this gap. Therefore, the flow of water and ethylene [...] Read more.
The colloidal analysis for H2O and EG (Ethylene Glycol) by considering the influence of radiative heat flux and viscous dissipation is not performed so far. This study is performed to fill up this gap. Therefore, the flow of water and ethylene glycol functionalized magnetite nanoparticles over a moving wedge is examined. For thermal enhancement, two different magnetite nanoparticles, namely CoFe 2 O 4 (Cobalt ferrite) and Mn − ZnFe 2 O 4 ( Mn − Zn ferrite), diluted in the base fluids. Self-similar flow model of a nonlinear nature, containing the volume fraction of nanoparticles is obtained by using compatible similarity variables. For mathematical treatment of the model, the Runge-Kutta scheme is utilized, coupled with shooting techniques. The results for flow characteristics and significant physical parameters are graphically examined. A comprehensive comparative analysis has been made, which proved the reliability of the study. Full article
(This article belongs to the Special Issue Nanofluids and Their Applications 2019)
►▼ Show Figures

Figure 1

19 pages, 3129 KiB  
Article
Impact of Nonlinear Thermal Radiation on MHD Nanofluid Thin Film Flow over a Horizontally Rotating Disk
by Zahir Shah, Abdullah Dawar, Poom Kumam, Waris Khan and Saeed Islam
Appl. Sci. 2019, 9(8), 1533; https://doi.org/10.3390/app9081533 - 12 Apr 2019
Cited by 60 | Viewed by 4790
Abstract
Nanoscience can be stated as a superlative way of changing the properties of a working fluid. Heat transmission features during the flow of nanofluids are an imperative rule from the industrial and technological point of view. This article presents a thin film flow [...] Read more.
Nanoscience can be stated as a superlative way of changing the properties of a working fluid. Heat transmission features during the flow of nanofluids are an imperative rule from the industrial and technological point of view. This article presents a thin film flow of viscous nanofluids over a horizontal rotating disk. The impact of non-linear thermal radiation and a uniform magnetic field is emphasized in this work. The governing equations were transformed and solved by the homotopy analysis method and the ND-Solve technique. Both analytical and numerical results are compared graphically and numerically, and excellent agreement was obtained. Skin friction and the Nusselt number were calculated numerically. It is concluded that the thin film thickness of nanofluids reduces with enhanced values of the magnetic parameter. In addition, the nanofluid temperature was augmented with increasing values of the thermal radiation parameter. The impact of emerging parameters on velocities and temperature profiles were obtainable through graphs and were deliberated on in detail. Full article
(This article belongs to the Special Issue Nanofluids and Their Applications 2019)
►▼ Show Figures

Figure 1

13 pages, 3568 KiB  
Article
Prediction of Viscosity Values of Nanofluids at Different pH Values by Alternating Decision Tree and Multilayer Perceptron Methods
by Ahmet Beyzade Demirpolat and Mehmet Das
Appl. Sci. 2019, 9(7), 1288; https://doi.org/10.3390/app9071288 - 27 Mar 2019
Cited by 13 | Viewed by 2879
Abstract
Due to the poor thermal properties of conventional thermal fluids such as water, oil and ethylene glycol, small solid particles are added to these fluids to enhance heat transfer. Since the viscosity change determines the rheological behavior of a liquid, it is very [...] Read more.
Due to the poor thermal properties of conventional thermal fluids such as water, oil and ethylene glycol, small solid particles are added to these fluids to enhance heat transfer. Since the viscosity change determines the rheological behavior of a liquid, it is very important to examine the parameters affecting the viscosity. Since the experimental viscosity measurement is expensive and time-consuming, it is more practical to estimate this parameter. In this study, CuO (copper oxide) nanoparticles were produced and then Scanning Electron Microscope (SEM) images analyses of the produced particles were made. Nanofluids were obtained by using pure water, ethanol and ethylene glycol materials together with the produced nanoparticles and the viscosity values were calculated by experimental setups at different density and temperatures. For the viscosity values of nanofluids, predictive models were created by using different computational intelligence methods. Mean square error (MSE), root mean square error (RMSE) and mean absolute percentage error (MAPE) error analyses were used to determine the accuracy of the predictive models. The multilayer perceptron method, which has the least error value in computational methods, was chosen as the best predicting method. The multilayer perceptron method, with an average accuracy of 51%, performed better than the alternating decision tree method. As a result, the viscosity increased with the increase in the pH of the nanofluids produced by adding CuO nanoparticles and decreased with the increase in the temperature of the nanofluids. The importance of this study is to create a predictive model using computational intelligence methods for viscosity values calculated with different pH values. Full article
(This article belongs to the Special Issue Nanofluids and Their Applications 2019)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-5
Back to TopTop