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Nanofluids: From Fundamental Sciences to Applications

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Advanced Nanomaterials and Nanotechnology".

Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 12727

Special Issue Editor

Department of Physics and Medical Engineering, Rzeszów University of Technology, Rzeszów, Poland
Interests: nanofuids; rheology; thermal conductivity; surface tension; density
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Since they were mentioned for the first time in the scientific literature, at the end of the 20th century, nanofluids (suspensions of particles with at least one dimension of the order of nanometers) have become interesting nanomaterials and have found numerous applications. Most but not all of the applications are due to the enhanced thermal conductivity of nanofluids when compared to the pure base fluid. Their improved optical properties makes these materials an excellent solution for solar energy systems. Some medical treatments and drug delivery systems also use nanofluids. However, one must note that the fundamental mechanisms determining the physical and chemical properties of this group of materials are still not well understood. This Special Issue of Materials will connect research on the fundamental mechanisms and properties of nanofluids and possible applications of these innovative nanomaterials.

Papers submitted to this Special Issue should deal with one (or more) of the listed topics:

  • detailed experimental and/or theoretical determinations of the fundamental physical and/or chemical properties of nanofluids,
  • theoretical and empirical models of nanofluid properties,
  • broad or sophisticated possible applications of nanofluids in industry and medicine.

I hope that the articles presented in this Special Issue will strengthen the bonds between basic research in the field of nanofluids and their potential uses. All types of papers, including short communications, full papers, and reviews are very welcome.

Dr. Gaweł Żyła
Guest Editor

Manuscript Submission Information

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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. Materials 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 2600 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

  • nanofluids
  • IoNanofluids
  • nanotechnology
  • nanosuspensions

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Published Papers (3 papers)

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Research

16 pages, 3557 KiB  
Article
Development of Graphene Oxide-Based Nonedible Cottonseed Nanofluids for Power Transformers
by Rizwan A. Farade, Noor Izzri Abdul Wahab, Diaa-Eldin A. Mansour, Norhafiz B. Azis, Jasronita bt. Jasni, Manzoore Elahi M. Soudagar and Vasudevamurthy Siddappa
Materials 2020, 13(11), 2569; https://doi.org/10.3390/ma13112569 - 4 Jun 2020
Cited by 39 | Viewed by 3480
Abstract
Sustainable materials, such as vegetable oils, have become an effective alternative for liquid dielectrics in power transformers. However, currently available vegetable oils for transformer application are extracted from edible products with a negative impact on food supply. So, it is proposed in this [...] Read more.
Sustainable materials, such as vegetable oils, have become an effective alternative for liquid dielectrics in power transformers. However, currently available vegetable oils for transformer application are extracted from edible products with a negative impact on food supply. So, it is proposed in this study to develop cottonseed oil (CSO) as an electrical insulating material and cooling medium in transformers. This development is performed in two stages. The first stage is to treat CSO with tertiary butylhydroquinone (TBHQ) antioxidants in order to enhance its oxidation stability. The second and most important stage is to use the promising graphene oxide (GO) nanosheets to enhance the dielectric and thermal properties of such oil through synthesizing GO-based CSO nanofluids. Sodium dodecyl sulfate (SDS) surfactant was used as surfactant for GO nanosheets. The nanofluid synthesis process followed the two-step method. Proper characterization of GO nanosheets and prepared nanofluids was performed using various techniques to validate the structure of GO nanosheets and their stability into the prepared nanofluids. The considered weight percentages of GO nanosheets into CSO are 0.01, 0.02, 0.03 and 0.05. Dielectric and thermal properties were comprehensively evaluated. Through these evaluations, the proper weight percentage of GO nanosheets was adopted and the corresponding physical mechanisms were discussed. Full article
(This article belongs to the Special Issue Nanofluids: From Fundamental Sciences to Applications)
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17 pages, 8099 KiB  
Article
Experimental Investigation on Pool Boiling Heat Transfer Performance Using Tungsten Oxide WO3 Nanomaterial-Based Water Nanofluids
by Mohammed Saad Kamel and Ferenc Lezsovits
Materials 2020, 13(8), 1922; https://doi.org/10.3390/ma13081922 - 19 Apr 2020
Cited by 12 | Viewed by 2861
Abstract
This study aims to experimentally investigate the pool boiling heat transfer coefficient behavior using tungsten oxide-based deionized water nanofluids and comparing them to deionized water as conventional fluid. The influence of different dilute volumetric concentrations (0.005%–0.05% Vol.) and applied heat fluxes were examined [...] Read more.
This study aims to experimentally investigate the pool boiling heat transfer coefficient behavior using tungsten oxide-based deionized water nanofluids and comparing them to deionized water as conventional fluid. The influence of different dilute volumetric concentrations (0.005%–0.05% Vol.) and applied heat fluxes were examined to see the effect of these parameters on the pool boiling heat transfer performance using nanofluids from a typical horizontal heated copper tube at atmospheric pressure conditions. Results demonstrated that the pool boiling heat transfer coefficient (PBHTC) for both deionized water and nanofluids increased with increasing the applied heat flux. The higher PBHTC enhancement ratio was 6.7% for a volume concentration of 0.01% Vol. at a low heat flux compared to the deionized water case. Moreover, the PBHTC for nanofluids was degraded compared to the deionized water case, and the maximum reduction ratio was about 15% for a volume concentration of 0.05% Vol. relative to the baseline case. The reduction in PBHTC was attributed to the deposition of tungsten oxide nanoflakes on the heating surface during the boiling process, which led to a decrease in the density of the nucleation sites. Full article
(This article belongs to the Special Issue Nanofluids: From Fundamental Sciences to Applications)
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13 pages, 6003 KiB  
Article
Feasibility of ANFIS-PSO and ANFIS-GA Models in Predicting Thermophysical Properties of Al2O3-MWCNT/Oil Hybrid Nanofluid
by Ibrahim M. Alarifi, Hoang M. Nguyen, Ali Naderi Bakhtiyari and Amin Asadi
Materials 2019, 12(21), 3628; https://doi.org/10.3390/ma12213628 - 4 Nov 2019
Cited by 89 | Viewed by 5699
Abstract
The main purpose of the present paper is to improve the performance of the adaptive neuro-fuzzy inference system (ANFIS) in predicting the thermophysical properties of Al2O3-MWCNT/thermal oil hybrid nanofluid through mixing using metaheuristic optimization techniques. A literature survey showed [...] Read more.
The main purpose of the present paper is to improve the performance of the adaptive neuro-fuzzy inference system (ANFIS) in predicting the thermophysical properties of Al2O3-MWCNT/thermal oil hybrid nanofluid through mixing using metaheuristic optimization techniques. A literature survey showed that the use of an artificial neural network (ANN) is the most widely used method, although there are other methods that showed better performance. Moreover, it was found in the literature that artificial intelligence methods have been widely used for predicting the thermal conductivity of nanofluids. Thus, in the present study, genetic algorithms (GAs) and particle swarm optimization (PSO) have been utilized to search and determine the antecedent and consequent parameters of the ANFIS model. Solid concentration and temperature were considered as input variables, and thermal conductivity, dynamic viscosity, heat transfer performance, and pumping power in both the internal laminar and turbulent flow regimes were the outputs. In order to evaluate and compare the performance of the models, two statistical indices of root mean square error (RMSE) and determination coefficient (R) were utilized. Based on the results, both of the models are able to predict the thermophysical properties appropriately. However, the ANFIS-PSO model had a better performance than the ANFIS-GA model. Finally, the studied thermophysical properties were developed by the trained ANFIS-PSO model. Full article
(This article belongs to the Special Issue Nanofluids: From Fundamental Sciences to Applications)
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