Applications of Fractional Nanofluids in Chemical Processes

A special issue of Nanomaterials (ISSN 2079-4991). This special issue belongs to the section "Environmental Nanoscience and Nanotechnology".

Deadline for manuscript submissions: closed (15 June 2022) | Viewed by 3389

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Institute for Mathematical Research (INSPEM), Universiti Putra Malaysia, Serdang, Selangor, Malaysia
Interests: fuzzy sets and systems; fractional calculus; numerical methods; mathematical modelling
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1. Department of Law, Economics and Human Sciences, University “Mediterranea” of Reggio Calabria, 89124 Reggio Calabria, Italy
2. The Invernizzi Centre for Research in Innovation, Organization, Strategy and Entrepreneurship (ICRIOS), Bocconi University, Via Sarfatti, 25, 20136 Milano, Italy
Interests: mathematical economics; machine learning and data science; epidemics models; fractional calculus
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Natural and Agricultural Sciences and Institute for Groundwater Studies (IGS), University of the Free State, Bloemfontein, South Africa
Interests: methods and application of nonlinear equation; fractional calculus and their applications to real world problems; application of partial; ordinary and fractional differential equation to groundwater problems; perturbation and asymptotic methods; iteration methods for differential equations; numerical method for partial differential equations; numerical methods for ordinary differential equations; analytical methods for partial differential equation; analytical methods for ordinary differential equation; integral transforms; groundwater flow models; groundwater transport models
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Faculty of Engineering and Natural Sciences, Bahcesehir University, Istanbul 34349, Turkey
Interests: fuzzy systems; fractional modelling; optical solitons; applied artificial intelligence
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Special Issue Information

Dear Colleagues,

Due to low thermal conductivity, conventional fluids like water, ethylene glycol, and oil have a restricted cooling performance. This restricted cooling performance can be determined by the addition of a small amount of nanosolid particles with high heat transfer performance to the traditional fluid to form so-called nanofluids. Typically, particles in such nanofluids have dimensions ranging from 1 to 100 nm and take the form of metals, oxides, carbides, nitrides, or nonmetals. There are several engineering and physical applications of heat transfer in nanofluid are such as engine cooling, refrigerators, chillers, microelectronics, fuel cells, etc.

The recent research shows that nanofluids synthesized by chemical solution methods have both higher conductivity enhancement and better stability than those produced by the other methods. With the development of nanofluids, there is increasing interest in using nanofluids in environmental sectors, especially in chemical treatment. Nanofluids are not strong oxidants and are not expected to produce harmful disinfection byproducts. Nanofluids exhibit good disinfection properties against a wide range of bacteria, including Gram-negative, Gram-positive, and spore-forming bacteria. Several patents disclose the typically used types of nanofluids and their possible disinfection/decontamination mechanisms. 

Recently, mathematical modeling of nanofluids, representing a novel class of chemical processes that play a vital role in industries and environment, has been widely considered by researchers with attractive and useful applications. Usually, these models are represented in terms of traditional integer-order partial differential equations (PDEs). Note that the traditional PDEs cannot decode the complex behavior of physical chemical processes and memory effects. To address these defects, researchers have focused on fractional dynamic systems of fractional nonfluids in water-cleaning processes.

Topics:

  • Fractional nanofluids in chemical processes with singular/nonsingular kernels
  • Water process in hybrid nanofluids with (singular/nonsingular and local/nonlocal) kernels
  • Innovative fractional applications in nanotechnology, wastewater, filtration, photocatalysis, sensor, and antimicrobial nanomaterials
  • Wastewater treatment, nanoengineered material, membrane technology, nanosorbents, adsorption, and metal oxides with new fractional derivatives
  • Application of reverse osmosis, water softening, water treatment, membranes, and fouling in fractional hybrid nanofluids
  • Numerical and analytical solutions in chemical processes of fractional problems for different geometries
  • Mathematical models of fractional hybrid nanofluids in materials and bioscience
  • Role of fractional hybrid nanofluids in adsorption, activated carbon, wastewater, and central composite design

You may choose our Joint Special Issue in Nanomanufacturing.

Dr. Ali Ahmadian
Prof. Dr. Massimiliano Ferrara
Prof. Dr. Abdon Atangana
Prof. Dr. Soheil Salahshour
Guest Editors

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Keywords

  • fractional nanofluids in chemical processes
  • fractional hybrid nanofluids in adsorption
  • fractional hybrid nanofluids in activated carbon and wastewater
  • fractional modeling in filtration and photocatalysis
  • numerical solutions of nanoengineered material problems
  • role of memory in water-cleaning processes
  • coagulation, flocculation, and leachate with non-integer modelling
  • heavy metal, nanoadsorbents and arsenic using fractional dynamic systems

Published Papers (2 papers)

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Research

18 pages, 1019 KiB  
Article
An Analysis for Variable Physical Properties Involved in the Nano-Biofilm Transportation of Sutterby Fluid across Shrinking/Stretching Surface
by Sohaib Abdal, Imran Siddique, Saima Afzal, Somayeh Sharifi, Mehdi Salimi and Ali Ahmadian
Nanomaterials 2022, 12(4), 599; https://doi.org/10.3390/nano12040599 - 10 Feb 2022
Cited by 23 | Viewed by 1402
Abstract
In this article, we explore how activation energy and varied transit parameters influence the two-dimensional stagnation point motion of nano-biofilm of Sutterby fluids incorporating gyrotactic microbes across a porous straining/shrinking sheet. Prior investigations implied that fluid viscosity as well as thermal conductance are [...] Read more.
In this article, we explore how activation energy and varied transit parameters influence the two-dimensional stagnation point motion of nano-biofilm of Sutterby fluids incorporating gyrotactic microbes across a porous straining/shrinking sheet. Prior investigations implied that fluid viscosity as well as thermal conductance are temperature based. This research proposes that fluid viscosity, heat capacity and nanofluid attributes are all modified by solute concentration. According to some empirical research, the viscosity as well as heat conductivity of nanoparticles are highly based on the concentration of nanoparticles instead of only the temperature. The shooting approach with the RK-4 technique is applied to acquire analytical results. We contrast our outcomes with those in the existing research and examine their consistency and reliability. The graphic performance of relevant factors on heat, velocity, density and motile concentration domains are depicted and discussed. The skin friction factor, Nusselt number, Sherwood number and the motile density are determined. As the concentration-dependent properties are updated, the speed, temperature, concentration and motile density profiles are enhanced, but for all concentration-varying factors, other physical quantities deteriorate. Full article
(This article belongs to the Special Issue Applications of Fractional Nanofluids in Chemical Processes)
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16 pages, 4138 KiB  
Article
A CFD Study on Heat Transfer Performance of SiO2-TiO2 Nanofluids under Turbulent Flow
by Thong Le Ba, Gyula Gróf, Vincent Otieno Odhiambo, Somchai Wongwises and Imre Miklós Szilágyi
Nanomaterials 2022, 12(3), 299; https://doi.org/10.3390/nano12030299 - 18 Jan 2022
Cited by 10 | Viewed by 1584
Abstract
A CFD model was performed with commercial software through the adoption of the finite volume method and a SIMPLE algorithm. SiO2-P25 particles were added to water/ethylene glycol as a base fluid. The result is considered a new hybrid nanofluid (HN) for [...] Read more.
A CFD model was performed with commercial software through the adoption of the finite volume method and a SIMPLE algorithm. SiO2-P25 particles were added to water/ethylene glycol as a base fluid. The result is considered a new hybrid nanofluid (HN) for investigating heat transfer (HT). The volume concentrations were 0.5, 1.0, and 1.5%. The Reynolds number was in the range of 5000–17,000. The heat flux (HF) was 7955 W/m2, and the wall temperature was 340.15 K. The numerical experiments were performed strictly following the rules that one should follow in HT experiments. This is important because many studies related to nanofluid HT overlook these details. The empirical correlations that contain the friction factor perform better with higher Reynolds numbers than the correlations based only on Reynolds and Prandtl numbers. When temperature differences are moderate, researchers may consider using constant properties to lower computational costs, as they may give results that are similar to temperature-dependent ones. Compared with previous research, our simulation results are in agreement with the experiments in real time. Full article
(This article belongs to the Special Issue Applications of Fractional Nanofluids in Chemical Processes)
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