Submit to Special Issue Submit Abstract to Special Issue Review for Energies Edit a Special Issue

Journal Browser

► Journal Browser

Special Issue "Advances in Fluid Dynamics and Nanofluids"

Print Special Issue Flyer
Special Issue Editors
Special Issue Information
Keywords
Published Papers

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "D3: Nanoenergy".

Deadline for manuscript submissions: 31 March 2023 | Viewed by 3566

Share This Special Issue

Special Issue Editor

Prof. Dr. Fateh Mebarek-Oudina

E-Mail Website
Guest Editor

1. Department of Physics, Faculty of Sciences, University of 20 août 1955 - Skikda, B.P 26 Road El-Hadaiek, Skikda 21000, Algeria
2. Laboratoire des Matériaux et Génie Energétique (LMGE), University of 20 août 1955-Skikda, Skikda 21000, Algeria
Interests: modeling and simulation; mathematical physics; fluid dynamics; computational physics; applied mathematics; engineering physics; computer engineering; communication engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Given the massive increase in global energy needs, enhancing heat-transfer capabilities has become an extremely significant task in terms of energy savings considering that over 70% of the energy we utilize today is produced by heat.

The majority of the conventional fluids that are utilized as coolants have poor thermal conductivity, the main disadvantage for heat-transfer enhancement. However, modern technology has overcome this obstacle by providing fluids with solid nanometre-sized particles that improve heat transfer.

Original studies that demonstrate the importance of the proper consideration of heat and mass transfer phenomena in thermal and energy systems to improve their conversion efficiency, design and operating techniques are welcome.

This Special Issue, “Advances in Fluid dynamics and Nanofluids”, is dedicated to experimental, theoretical and computational investigations of the elementary characteristics of transfer phenomena in all aspects of fluid mechanics.

This Special Issue has also been organized to support the International Conference on Energy and Material Sciences EMS'2022, which will be held on November 16–17, 2022 in Skikda, Algeria. EMS'2022 is a global platform for researchers, academics, students and business professionals. We would be honoured if you could participate by sharing your experience with the global audience of energy and material sciences experts.

Prof. Dr. Fateh Mebarek-Oudina
Guest Editor

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. Energies 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 2200 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

fluid dynamics and nanofluids
biological flows
computational fluid dynamics
electrical and magnetic effects in fluid flows
experiments in fluids
flows in porous media
flows with complex boundary conditions
flow visualization
fluid–structure interactions
free surface flows
geological flows
mathematics of fluids
multiphase flows
nanofluid flows
rarefied supersonic flows
statistical mechanics of flows
turbulent flows
viscous and non-newtonian flows
energy transition and renewable energies
materials
simulations and modeling in the area of energy and/or materials

Published Papers (5 papers)

Download All Papers

Research

Jump to: Review

Open AccessArticle

Machine Learning Prediction of Nanoparticle Transport with Two-Phase Flow in Porous Media

Mohamed F. El-Amin

Budoor Alwated

and

Hussein A. Hoteit

Energies 2023, 16(2), 678; https://doi.org/10.3390/en16020678 - 06 Jan 2023

Viewed by 542

Abstract

Reservoir simulation is a time-consuming procedure that requires a deep understanding of complex fluid flow processes as well as the numerical solution of nonlinear partial differential equations. Machine learning algorithms have made significant progress in modeling flow problems in reservoir engineering. This study employs machine learning methods such as random forest, decision trees, gradient boosting regression, and artificial neural networks to forecast nanoparticle transport with the two-phase flow in porous media. Due to the shortage of data on nanoparticle transport in porous media, this work creates artificial datasets using a mathematical model. It predicts nanoparticle transport behavior using machine learning techniques, including gradient boosting regression, decision trees, random forests, and artificial neural networks. Utilizing the scikit-learn toolkit, strategies for data preprocessing, correlation, and feature importance are addressed. Furthermore, the GridSearchCV algorithm is used to optimize hyperparameter tuning. The mean absolute error, R-squared correlation, mean squared error, and root means square error are used to assess the models. The ANN model has the best performance in forecasting the transport of nanoparticles in porous media, according to the results. Full article

(This article belongs to the Special Issue Advances in Fluid Dynamics and Nanofluids)

► Show Figures

Figure 1

Open AccessArticle

Features of Radiative Mixed Convective Heat Transfer on the Slip Flow of Nanofluid Past a Stretching Bended Sheet with Activation Energy and Binary Reaction

and

Energies 2022, 15(20), 7613; https://doi.org/10.3390/en15207613 - 15 Oct 2022

Cited by 1 | Viewed by 479

Abstract

The current exploration aims to inspect the features of thermal radiation on the buoyancy or mixed convective fluid flow induced by nanofluid through a stretching permeable bended sheet. The impact of activation energy and binary reaction along with slip migration is taken into account to discuss the fine points of water-based alumina nanoparticle flow. The structure of the curved sheet is assumed to be stretchable and the bended texture is coiled within a circular section with radius

R_{b}

. The similarity technique is utilized to reduce the leading partial differential equations into ordinary differential equations. These reduced equations are then deciphered numerically by employing the bvp4c method. The outcomes of the model were constructed in the form of several figures and bar graphs for the case of opposing and assisting flows with varying distinct embedded control parameters. The results display that the velocity field curves escalate with a higher radius of curvature parameter while temperature and concentration profiles shrink. More precisely, the outcomes show that the temperature distribution profile increases with the increase in nanoparticle’s volume fraction as well as thermal radiation parameter. Meanwhile, the concentration and velocity fields are decelerated with higher impacts of nanoparticle volume fraction. In addition, the heat and mass transfer rates were significantly improved for the higher value of the radiation and Schmidt number. On the other hand, the growing values of the velocity slip factor decrease the shear stress. Furthermore, the results are compared with the previous results in the limiting cases and observed a tremendous harmony. Full article

(This article belongs to the Special Issue Advances in Fluid Dynamics and Nanofluids)

► Show Figures

Figure 1

Open AccessArticle

Heat and Mass Transport Analysis of MHD Rotating Hybrid Nanofluids Conveying Silver and Molybdenum Di-Sulfide Nano-Particles under Effect of Linear and Non-Linear Radiation

and

Energies 2022, 15(17), 6269; https://doi.org/10.3390/en15176269 - 28 Aug 2022

Cited by 6 | Viewed by 677

Abstract

This article is an attempt to explore the heat transfer features of the steady three-dimensional rotating flow of magneto-hydrodynamic hybrid nanofluids under the effect of nonlinear radiation over the bi-directional stretching surface. For this purpose, two different nano-particles, namely silver (Ag) and molybdenum di-sulfide (MoS₂), were selected. Three different conventional base fluids were utilized to form desired hybrid nanofluids such as water (H₂O), engine oil (EO), and ethylene glycol (EG). We obtained steady three-dimensional highly nonlinear partial differential equations. These highly nonlinear partial differential equations cannot be solved analytically, so these equations were handled in MATLAB with the BVP-4C technique with convergence tolerance at 10⁻⁶. The graph depicts the effect of the magnetization effect, thermal radiation, and stretching ratio on rotating hybrid nanofluids. Additionally, the impact of thermal radiation on the heat coefficient of three different hybrid nanofluids is being investigated. The augmentation in magnetization decreases the primary velocity, whereas the increment in radiation enhances the primary velocity. The stretching ratio and the presence of higher magnetic forces increase the temperature profile. The concentration profile was enhanced with an increment in the magnetic field, stretching, and rotation ratio. The maximum Nusselt number was achieved for the Ag-MoS₂/EO hybrid nanofluid. It was concluded that augmentation in nonlinear radiation enhances the heat transfer coefficient for the examined cases (I) and (II) of the hybrid nanofluids. The Nusselt number doubled for both the examined cases under nonlinear radiation. Moreover, it was discovered that Ag-MoS₂/water produced the best heat transfer results under nonlinear radiation. Therefore, the study recommends more frequent exploration of hybrid nanofluids (Ag-MoS₂/water) when employing nonlinear radiation to analyze the heat transfer coefficient. Full article

(This article belongs to the Special Issue Advances in Fluid Dynamics and Nanofluids)

► Show Figures

Figure 1

Open AccessArticle

Time-Dependent Stagnation Point Flow of Water Conveying Titanium Dioxide Nanoparticle Aggregation on Rotating Sphere Object Experiencing Thermophoresis Particle Deposition Effects

Javali K. Madhukesh

Ballajja C. Prasannakumara

and

Energies 2022, 15(12), 4424; https://doi.org/10.3390/en15124424 - 17 Jun 2022

Cited by 5 | Viewed by 735

Abstract

The notion of thermophoretic particle deposition is used in a number of applications, including thermal exchanger walls. It is important to identify the transport processes in action in systems such as thermal precipitators, exhaust devices, optical transmission fabrication processes, and so on. Based on these application points of view, the present work studies the performance of nanoparticle aggregation stagnation point flow over a rotating sphere during the occurrence of thermophoretic particle deposition. The nonlinear governing equations are transformed into the ordinary differential equation by utilizing suitable similarity variables. The numerical outcomes of the reduced equations along with boundary conditions are solved by the Runge–Kutta–Fehlberg 45 (RKF-45) order method with shooting procedure. The numerical results are shown with the assistance of graphs. The impacts of various dimensionless constraints on velocity, thermal, and concentration profiles are studied under the occurrence and absence of nanoparticle aggregation. The study reveals that the primary velocity is enhanced with increasing values of the acceleration parameter, but secondary velocity diminishes. The impressions of the rotation parameter will improve the primary velocity. The concentration profiles will diminish with an improvement in the thermophoretic parameter. The surface drag force is greater in nanoparticles with aggregation than nanoparticles without aggregation in the

C_{f x}

case but a reverse behavior is seen in the

C_{f z}

case. Further, the rate of heat distribution increases with a rise in the solid volume fraction, whereas the rate of mass distribution grows as the thermophoretic parameter grows. Full article

(This article belongs to the Special Issue Advances in Fluid Dynamics and Nanofluids)

► Show Figures

Graphical abstract

Review

Jump to: Research

Open AccessReview

Review on Nano Enhanced PCMs: Insight on nePCM Application in Thermal Management/Storage Systems

Fateh Mebarek-Oudina

and

Ines Chabani

Energies 2023, 16(3), 1066; https://doi.org/10.3390/en16031066 - 18 Jan 2023

Cited by 2 | Viewed by 407

Abstract

Phase change materials (PCMs) proved to be valuable and drew the attention of numerous scientists striving to establish novel techniques to minimize energy consumption and expand heat storage; yet a number of challenges hampered their research. This paper provides an overall overview on how to overcome those constraints by adapting nano-enhanced phase change materials, the motivation behind their investigation, their advantages, area of applications, and their impact on thermal management and storage equipment. Recent computational and experimental studies have revealed that nanoparticles are extremely useful in terms of improving the thermo-physical properties of PCMs, allowing nano-PCMs, mainly nano-paraffin, to have a major positive influence on thermal concepts at the economical, ecological, and effectiveness levels. In this context, nano-enhanced PCMs are now able to store and release large amounts of heat in short intervals of time, which is relevant to thermal storage systems and contributes to augmenting and boosting their efficiency. It also improves the thermal performance of cooling and heating systems in buildings and regulates the operating temperature of PV systems, electronic components, and batteries. Full article

(This article belongs to the Special Issue Advances in Fluid Dynamics and Nanofluids)

► Show Figures

Figure 1

Journal Menu

Journal Browser

Special Issue "Advances in Fluid Dynamics and Nanofluids"

Share This Special Issue

Special Issue Editor

Special Issue Information

Keywords

Published Papers (5 papers)

Research

Review

Further Information

Guidelines

MDPI Initiatives

Follow MDPI