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23 pages, 13446 KiB

Open AccessArticle

Mixed Convection Flow of Magnetized Casson Nanofluid over a Cylindrical Surface

by Firas A. Alwawi, Abdulkareem Saleh Hamarsheh, Hamzeh T. Alkasasbeh and Ruwaidiah Idris

Coatings 2022, 12(3), 296; https://doi.org/10.3390/coatings12030296 - 22 Feb 2022

Cited by 22 | Viewed by 2338

This work aimed to establish a numerical simulation of kerosene oil as a host Casson fluid flowing around a cylindrical shape with an applied magnetic field crossing through it, under constant wall temperature boundary conditions. Nanoparticles of zinc, aluminum, and titanium oxides were [...] Read more.

This work aimed to establish a numerical simulation of kerosene oil as a host Casson fluid flowing around a cylindrical shape with an applied magnetic field crossing through it, under constant wall temperature boundary conditions. Nanoparticles of zinc, aluminum, and titanium oxides were included to reinforce its thermal characteristics. The governing model was established based on the Tiwari and Das model. Graphical and numerical results for correlated physical quantities were gained through the Keller Box method, with the assistance of MATLAB software (9.2). The combined convection (

λ > 0 & λ < 0

), magnetic parameter (

M > 0

), Casson parameter (

β > 0

), and nanosolid volume fraction (

0.1 \leq χ \leq 0.2

) were the parameter ranges considered in this study. According to the current findings, the growth of mixed convection parameter or volume fraction of ultrafine particles contributes to boosting the rate of energy transport, skin friction, and velocity distribution. Zinc oxide–kerosene oil has the highest velocity and temperature, whatever the parameters influencing it. Full article

(This article belongs to the Special Issue Nanofluidics: Interfacial Transport Phenomena)

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15 pages, 3505 KiB

Open AccessArticle

Chemical Reactive and Viscous Dissipative Flow of Magneto Nanofluid via Natural Convection by Employing Galerkin Finite Element Technique

by Shankar Goud Bejawada, Wasim Jamshed, Rabia Safdar, Yanala Dharmendar Reddy, Meznah M. Alanazi, Heba Y. Zahran and Mohamed R. Eid

Coatings 2022, 12(2), 151; https://doi.org/10.3390/coatings12020151 - 26 Jan 2022

Cited by 21 | Viewed by 3386

Abstract

A numerical study of chemically reactive effects on Magnetohydrodynamics (MHD) free convective unsteady flowing over an inclined plate in a porousness material in the existence of viscous dissipation was studied. The nondimensional principal equations are time dependent coupled and non-linear partial differential equations [...] Read more.

A numerical study of chemically reactive effects on Magnetohydrodynamics (MHD) free convective unsteady flowing over an inclined plate in a porousness material in the existence of viscous dissipation was studied. The nondimensional principal equations are time dependent coupled and non-linear partial differential equations (PDEs) are solved by the efficacy finite element method (FEM). As well, the computational relationships of speed, energy, and concentricity in the form of Galerkin finite element were obtained. Calculations are achieved with a wide range of key flow parameters, namely, the angle of inclination (

α

), permeability parameter

(k),

magnetic parameter (

M

), buoyancy ratio parameter (

N

), Schmidt number (

S c

), Eckert number (

E c

), Prandtl number (

P r

), chemical factor (

K r

) on speed, and concentricity and temperature fields are examined in detail with the assistance of diagrams. Full article

(This article belongs to the Special Issue Nanofluidics: Interfacial Transport Phenomena)

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14 pages, 10096 KiB

Open AccessArticle

Cumulative Impact of Micropolar Fluid and Porosity on MHD Channel Flow: A Numerical Study

by Kottakkaran Sooppy Nisar, Aftab Ahmed Faridi, Sohail Ahmad, Nargis Khan, Kashif Ali, Wasim Jamshed, Abdel-Haleem Abdel-Aty and I. S. Yahia

Coatings 2022, 12(1), 93; https://doi.org/10.3390/coatings12010093 - 14 Jan 2022

Cited by 24 | Viewed by 2570

Abstract

The mass and heat transfer magnetohydrodynamic (MHD) flows have a substantial use in heat exchangers, electromagnetic casting, X-rays, the cooling of nuclear reactors, mass transportation, magnetic drug treatment, energy systems, fiber coating, etc. The present work numerically explores the mass and heat transportation [...] Read more.

The mass and heat transfer magnetohydrodynamic (MHD) flows have a substantial use in heat exchangers, electromagnetic casting, X-rays, the cooling of nuclear reactors, mass transportation, magnetic drug treatment, energy systems, fiber coating, etc. The present work numerically explores the mass and heat transportation flow of MHD micropolar fluid with the consideration of a chemical reaction. The flow is taken between the walls of a permeable channel. The quasi-linearization technique is utilized to solve the complex dynamical coupled and nonlinear differential equations. The consequences of the preeminent parameters are portrayed via graphs and tables. A tabular and graphical comparison evidently reveals a correlation of our results with the existing ones. A strong deceleration is found in the concentration due to the effect of a chemical reaction. Furthermore, the impact of the magnetic field force is to devaluate the mass and heat transfer rates not only at the lower but at the upper channel walls, likewise. Full article

(This article belongs to the Special Issue Nanofluidics: Interfacial Transport Phenomena)

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16 pages, 5065 KiB

Open AccessArticle

Steady Magnetohydrodynamic Micropolar Fluid Flow and Heat and Mass Transfer in Permeable Channel with Thermal Radiation

by Vandana Agarwal, Bhupander Singh, Amrita Kumari, Wasim Jamshed, Kottakkaran Sooppy Nisar, Abdulrazak H. Almaliki and H. Y. Zahran

Coatings 2022, 12(1), 11; https://doi.org/10.3390/coatings12010011 - 23 Dec 2021

Cited by 8 | Viewed by 2565

Abstract

The present work is devoted to the study of magnetohydrodynamic micropolar fluid flow in a permeable channel with thermal radiation. The Rosseland approximation for thermal radiation is taken into account in the modelling of heat transfer. The governing equations are expressed in non-dimensional [...] Read more.

The present work is devoted to the study of magnetohydrodynamic micropolar fluid flow in a permeable channel with thermal radiation. The Rosseland approximation for thermal radiation is taken into account in the modelling of heat transfer. The governing equations are expressed in non-dimensional form. The Homotopy Perturbation Method (HPM) is briefly introduced and applied to derive the solution of nonlinear equations. The effects of various involved parameters like Reynolds number, microrotation parameter and Prandtl number on flow and heat transfer are discussed. Further, their effects on Nusselt and Sherwood numbers are also investigated from the physical point of view. Analytic solutions of the problem are obtained by HPM and a numerical technique bvp4c package MATLAB is applied to predict the graphs between different parameters. Full article

(This article belongs to the Special Issue Nanofluidics: Interfacial Transport Phenomena)

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24 pages, 6252 KiB

Open AccessArticle

MHD Hybrid Nanofluid Flow Due to Rotating Disk with Heat Absorption and Thermal Slip Effects: An Application of Intelligent Computing

by Muhammad Shoaib, Muhammad Asif Zahoor Raja, Muhammad Touseef Sabir, Kottakkaran Sooppy Nisar, Wasim Jamshed, Bassem F. Felemban and I. S. Yahia

Coatings 2021, 11(12), 1554; https://doi.org/10.3390/coatings11121554 - 17 Dec 2021

Cited by 24 | Viewed by 2999

Abstract

The objective of this study is to explore the flow features and heat transfer properties of an MHD hybrid nanofluid between two parallel plates under the effects of joule heating and heat absorption/generation (MHD-HFRHT) by utilizing the computational strength of Levenberg–Marquardt Supervised Neural [...] Read more.

The objective of this study is to explore the flow features and heat transfer properties of an MHD hybrid nanofluid between two parallel plates under the effects of joule heating and heat absorption/generation (MHD-HFRHT) by utilizing the computational strength of Levenberg–Marquardt Supervised Neural Networks (LM-SNNs). Similarity equations are utilized to reduce the governing PDEs into non-linear ODEs. A reference solution in the form of data sets for MHD-HFRHT flow is obtained by creating different scenarios by varying involved governing parameters such as the Hartman number, rotation parameter, Reynolds number, velocity slip parameter, thermal slip parameter and Prandtl number. These reference data sets for all scenarios are placed for training, validation and testing through LM-SNNs and the obtained results are then compared with reference output to validate the accuracy of the proposed solution methodology. AI-based computational strength with the applicability of LM-SNNs provides an accurate and reliable source for the analysis of the presented fluid-flow system, which has been tested and incorporated for the first time. The stability, performance and convergence of the proposed solution methodology are validated through the numerical and graphical results presented, based on mean square error, error histogram, regression plots and an error-correlation measurement. MSE values of up to the accuracy level of 1 × 10⁻¹¹ established the worth and reliability of the computational technique. Due to an increase in the Hartmann number, a resistance was observed, resulting in a reduction in the velocity profile. This occurs as the Hartmann number measures the relative implication of drag force that derives from magnetic induction of the velocity of the fluid flow system. However, the Reynolds number accelerates in the velocity profile due to the dominating impact of inertial force. Full article

(This article belongs to the Special Issue Nanofluidics: Interfacial Transport Phenomena)

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20 pages, 3256 KiB

Open AccessArticle

Thermal Characterization of Coolant Maxwell Type Nanofluid Flowing in Parabolic Trough Solar Collector (PTSC) Used Inside Solar Powered Ship Application

by Wasim Jamshed, Ceylin Şirin, Fatih Selimefendigil, MD. Shamshuddin, Yasir Altowairqi and Mohamed R. Eid

Coatings 2021, 11(12), 1552; https://doi.org/10.3390/coatings11121552 - 17 Dec 2021

Cited by 82 | Viewed by 4219

Abstract

Parabolic trough solar collectors (PTSCs) are generally utilized to reach high temperatures in solar-thermal applications. The current work investigates entropy production analysis and the influence of nano solid particles on a parabolic trough surface collector (PTSC) installed within a solar powered ship (SPS). [...] Read more.

Parabolic trough solar collectors (PTSCs) are generally utilized to reach high temperatures in solar-thermal applications. The current work investigates entropy production analysis and the influence of nano solid particles on a parabolic trough surface collector (PTSC) installed within a solar powered ship (SPS). For the current investigation, the non-Newtonian Maxwell type, as well as a porous medium and Darcy–Forchheimer effects, were used. The flow in PTSC was produced by a nonlinear stretching surface, and the Cattaneo–Christov approach was used to assess the thermal boundary layer’s heat flux. Similarity transformation approach has been employed to convert partial differential equations into solvable ordinary differential equations allied to boundary conditions. Partial differential and the boundary conditions have been reduced into a group of non-linear ordinary differential equations. A Keller-box scheme applied to solve approximate solutions of the ordinary differential equations. Single-walled carbon nanotubes -engine oil (SWCNT-EO) and Multiwalled carbon nanotubes/engine oil (MWCNT-EO) nanofluids have been utilized as working fluid. According to the findings, the magnetic parameter led to a reduction in the Nusselt number, as well as an increment in skin friction coefficient. Moreover, total entropy variance over the domain enhanced for flow rates through Reynolds number and viscosity fluctuations were monitored by using Brinkman number. Utilizing SWCNT-EO nanofluid increased the thermal efficiency between 1.6–14.9% in comparison to MWCNT-EO. Full article

(This article belongs to the Special Issue Nanofluidics: Interfacial Transport Phenomena)

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26 pages, 10715 KiB

Open AccessArticle

Entropy Optimized Second Grade Fluid with MHD and Marangoni Convection Impacts: An Intelligent Neuro-Computing Paradigm

by Muhammad Shoaib, Rafia Tabassum, Kottakkaran Sooppy Nisar, Muhammad Asif Zahoor Raja, Ayesha Rafiq, Muhammad Ijaz Khan, Wasim Jamshed, Abdel-Haleem Abdel-Aty, I. S. Yahia and Emad E. Mahmoud

Coatings 2021, 11(12), 1492; https://doi.org/10.3390/coatings11121492 - 3 Dec 2021

Cited by 18 | Viewed by 2901

Abstract

Artificial intelligence applications based on soft computing and machine learning algorithms have recently become the focus of researchers’ attention due to their robustness, precise modeling, simulation, and efficient assessment. The presented work aims to provide an innovative application of Levenberg Marquardt Technique with [...] Read more.

Artificial intelligence applications based on soft computing and machine learning algorithms have recently become the focus of researchers’ attention due to their robustness, precise modeling, simulation, and efficient assessment. The presented work aims to provide an innovative application of Levenberg Marquardt Technique with Artificial Back Propagated Neural Networks (LMT-ABPNN) to examine the entropy generation in Marangoni convection Magnetohydrodynamic Second Grade Fluidic flow model (MHD-SGFM) with Joule heating and dissipation impact. The PDEs describing MHD-SGFM are reduced into ODEs by appropriate transformation. The dataset is determined through Homotopy Analysis Method by the variation of physical parameters for all scenarios of proposed LMT-ABPNN. The reference data samples for training/validation/testing processes are utilized as targets to determine the approximated solution of proposed LMT-ABPNN. The performance of LMT-ABPNN is validated by MSE based fitness, error histogram scrutiny, and regression analysis. Furthermore, the influence of pertinent parameters on temperature, concentration, velocity, entropy generation, and Bejan number is also deliberated. The study reveals that the larger

β

and

M a

, the higher

f^{'} (η)

while

M

has the reverse influence on

f^{'} (η) .

For higher values of

β, M, M a,

and

E c

,

θ (η)

boosts. The concentration

ϕ (η)

drops as Ma and Sc grow. An augmentation is noticed for

N_{G}

for higher estimations of

β, M,

and

B r

. Larger

β, M

and

B r

decays the Bejan number. Full article

(This article belongs to the Special Issue Nanofluidics: Interfacial Transport Phenomena)

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14 pages, 3869 KiB

Open AccessArticle

Homogeneous–Heterogeneous Chemical Reactions of Radiation Hybrid Nanofluid Flow on a Cylinder with Joule Heating: Nanoparticles Shape Impact

by Taghreed H. Alarabi, Ahmed M. Rashad and A. Mahdy

Coatings 2021, 11(12), 1490; https://doi.org/10.3390/coatings11121490 - 3 Dec 2021

Cited by 32 | Viewed by 2599

Abstract

The current analysis aims to exhibit the nanoparticles of Al₂O₃ + Cu-water hybrid nanofluid flow for Darcy–Forchheimer with heterogeneous–homogeneous chemical reactions and magnetic field aspects past a stretching or shrinking cylinder with Joule heating. This paper performed not only with [...] Read more.

The current analysis aims to exhibit the nanoparticles of Al₂O₃ + Cu-water hybrid nanofluid flow for Darcy–Forchheimer with heterogeneous–homogeneous chemical reactions and magnetic field aspects past a stretching or shrinking cylinder with Joule heating. This paper performed not only with the hybrid nanofluid but also the shape of Al₂O₃ and Cu nanoparticles. The model of single-phase hybrid nanofluid due to thermophysical features is utilized for the mathematical formulation. In the present exploration equal diffusions factors for reactants and auto catalyst are instituted. The system of governing equations has been simplified by invoking the similarity transformation. The numerical computations are invoked due to the function bvp4c of Matlab, with high non-linearity. Numerical outcomes illustrated that; sphere shape nanoparticles presented dramatic performance on heat transfer of hybrid nanofluid movement; an opposite behavior is noticed with lamina shape. The local Nusselt number strengthens as the transverse curvature factor becomes larger. In addition, the homogeneous–heterogeneous reactions factors lead to weaken concentration fluctuation. Full article

(This article belongs to the Special Issue Nanofluidics: Interfacial Transport Phenomena)

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19 pages, 60610 KiB

Open AccessArticle

Comparative Study on Effects of Thermal Gradient Direction on Heat Exchange between a Pure Fluid and a Nanofluid: Employing Finite Volume Method

by Aimad Koulali, Aissa Abderrahmane, Wasim Jamshed, Syed M. Hussain, Kottakkaran Sooppy Nisar, Abdel-Haleem Abdel-Aty, I. S. Yahia and Mohamed R. Eid

Coatings 2021, 11(12), 1481; https://doi.org/10.3390/coatings11121481 - 1 Dec 2021

Cited by 39 | Viewed by 2877

Abstract

This work aims to determine how the temperature gradient orientation affects the heat exchange between two superposed fluid layers separated by zero wall thickness. The finite volume method (FVM) has been developed to solve the governing equations of both fluid layers. To achieve [...] Read more.

This work aims to determine how the temperature gradient orientation affects the heat exchange between two superposed fluid layers separated by zero wall thickness. The finite volume method (FVM) has been developed to solve the governing equations of both fluid layers. To achieve the coupling between the two layers, the heat flow continuity with the no-slip condition at the interface was adopted. The lower part of the space is filled with a nanofluid while the upper part is filled with a pure fluid layer. We have explored two cases of temperature gradient orientation: parallel gradient to gravity forces of our system and perpendicular gradient to gravity forces. We took a set of parameters,

R i

and

ϕ

, to see their influence on the thermal and hydrodynamic fields as well as the heat exchange rate between the two layers. The main applications of this study related to biological systems such as the cytoplasm and the nucleoplasm are phase-separated solutions, which can be useful as models for membranelles organelles and can serve as a cooling system application using heat exchange. The Richardson number and the volume of nanosolid particles have a big impact on the rate of change of heat transmission. When a thermal gradient is perpendicular to gravity forces, total heat transmission improves with increasing solid volume percentage, but when the thermal gradient is parallel to gravity forces, overall heat transfer decreases significantly. Full article

(This article belongs to the Special Issue Nanofluidics: Interfacial Transport Phenomena)

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24 pages, 8804 KiB

Open AccessArticle

MHD 3D Crossflow in the Streamwise Direction Induced by Nanofluid Using Koo–Kleinstreuer and Li (KLL) Correlation

by Umair Khan, Jamel Bouslimi, Aurang Zaib, Fahad S. Al-Mubaddel, Najma Imtiaz, Abdulaziz N. Alharbi and Mohamed R. Eid

Coatings 2021, 11(12), 1472; https://doi.org/10.3390/coatings11121472 - 30 Nov 2021

Cited by 9 | Viewed by 2035

Abstract

Aluminum nanoparticles are suitable for wiring power grids, such as local power distribution and overhead power transmission lines, because they exhibit high conductivity. These nanoparticles are also among the most utilized materials in electrical field applications. Thus, the present study investigated the impact [...] Read more.

Aluminum nanoparticles are suitable for wiring power grids, such as local power distribution and overhead power transmission lines, because they exhibit high conductivity. These nanoparticles are also among the most utilized materials in electrical field applications. Thus, the present study investigated the impact of magnetic field on 3D crossflow in the streamwise direction with the impacts of Dufour and Soret. In addition, the effects of activation energy and chemical reaction were incorporated. The viscosity and thermal conductivity of nanofluids were premeditated by KKL correlation. Prominent PDEs (Partial Differential Equations) were converted into highly nonlinear ODEs (Ordinary Differential Equations) using the proper similarity technique and then analyzed numerically with the aid of the built-in bvp4c solver in MATLAB. The impact of diverse important variables on temperature and velocity was graphically examined. Additionally, the influences of pertaining parameters on the drag force coefficient, Nusselt number, and Sherwood number were investigated. Inspections revealed that the mass transfer rate decreases, while the heat transport increases with increasing values of the Soret factor. However, the Nusselt and Sherwood numbers validate the differing trend for rising quantities of the Dufour factor. Full article

(This article belongs to the Special Issue Nanofluidics: Interfacial Transport Phenomena)

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17 pages, 23254 KiB

Open AccessArticle

On Soliton Solutions of Perturbed Boussinesq and KdV-Caudery-Dodd-Gibbon Equations

by Muhammad Imran Asjad, Hamood Ur Rehman, Zunaira Ishfaq, Jan Awrejcewicz, Ali Akgül and Muhammad Bilal Riaz

Coatings 2021, 11(11), 1429; https://doi.org/10.3390/coatings11111429 - 22 Nov 2021

Cited by 14 | Viewed by 2123

Abstract

Nonlinear science is a fundamental science frontier that includes research in the common properties of nonlinear phenomena. This article is devoted for the study of new extended hyperbolic function method (EHFM) to attain the exact soliton solutions of the perturbed Boussinesq equation (PBE) [...] Read more.

Nonlinear science is a fundamental science frontier that includes research in the common properties of nonlinear phenomena. This article is devoted for the study of new extended hyperbolic function method (EHFM) to attain the exact soliton solutions of the perturbed Boussinesq equation (PBE) and KdV–Caudery–Dodd–Gibbon (KdV-CDG) equation. We can claim that these solutions are new and are not previously presented in the literature. In addition, 2d and 3d graphics are drawn to exhibit the physical behavior of obtained new exact solutions. Full article

(This article belongs to the Special Issue Nanofluidics: Interfacial Transport Phenomena)

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22 pages, 2333 KiB

Open AccessArticle

Free and Forced Convective Flow in Pleural Fluid with Effect of Injection between Different Permeable Regions

by Padmavathi Thiyagarajan, Senthamilselvi Sathiamoorthy, Shyam Sundar Santra, Rifaqat Ali, Vediyappan Govindan, Samad Noeiaghdam and Juan J. Nieto

Coatings 2021, 11(11), 1313; https://doi.org/10.3390/coatings11111313 - 28 Oct 2021

Cited by 11 | Viewed by 2000

Abstract

Pleural effusion is an interruption of a pleural cavity in the lung wall. The lung and chest wall reversal process leads to pleural fluid aggregation in the pleural space. The parietal lymphatic expansion occurs because of increased pleural fluid. This model has been [...] Read more.

Pleural effusion is an interruption of a pleural cavity in the lung wall. The lung and chest wall reversal process leads to pleural fluid aggregation in the pleural space. The parietal lymphatic expansion occurs because of increased pleural fluid. This model has been developed to obtain new results of respiratory tract infections, and also investigated the reaction of injection on an unstable free and forced convection flow of visceral pleural fluid transports in two different vertical porous regions. Finally, the model gives an impact of COVID-19 in the human respiratory tract, as it helps to anticipate early summary of establishing current pandemic infection. Results are computed analytically and plotted graphically for various physical parameters. The main highlights of this paper are mixed convection has been investigated mathematically in porous media, the effect of temperature and velocity field of pleural fluid was analyzed based on human lung mechanism, heat exchange associates with mucus layer and pleural fluid layer corresponding to thermal radiation and heat absorption, contribution of injection parameter over the region’s mucus and pleural phase, it has shown high sensitivity flow in diagnosis of COVID-19 due to pleural effusion. Full article

(This article belongs to the Special Issue Nanofluidics: Interfacial Transport Phenomena)

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20 pages, 4193 KiB

Open AccessArticle

Computational Modeling of Hybrid Sisko Nanofluid Flow over a Porous Radially Heated Shrinking/Stretching Disc

by Umair Khan, Aurang Zaib, Anuar Ishak, Fahad S. Al-Mubaddel, Sakhinah Abu Bakar, Hammad Alotaibi and Hassan M. Aljohani

Coatings 2021, 11(10), 1242; https://doi.org/10.3390/coatings11101242 - 13 Oct 2021

Cited by 10 | Viewed by 1941

Abstract

The present study reveals the behavior of shear-thickening and shear-thinning fluids in magnetohydrodynamic flow comprising the significant impact of a hybrid nanofluid over a porous radially shrinking/stretching disc. The features of physical properties of water-based Ag/TiO₂ hybrid nanofluid are examined. The leading [...] Read more.

The present study reveals the behavior of shear-thickening and shear-thinning fluids in magnetohydrodynamic flow comprising the significant impact of a hybrid nanofluid over a porous radially shrinking/stretching disc. The features of physical properties of water-based Ag/TiO₂ hybrid nanofluid are examined. The leading flow problem is formulated initially in the requisite form of PDEs (partial differential equations) and then altered into a system of dimensionless ODEs (ordinary differential equations) by employing suitable variables. The renovated dimensionless ODEs are numerically resolved using the package of boundary value problem of fourth-order (bvp4c) available in the MATLAB software. The non-uniqueness of the results for the various pertaining parameters is discussed. There is a significant enhancement in the rate of heat transfer, approximately 13.2%, when the impact of suction governs about 10% in the boundary layer. Therefore, the heat transport rate and the thermal conductivity are greater for the new type of hybrid nanofluid compared with ordinary fluid. The bifurcation of the solutions takes place in the problem only for the shrinking case. Moreover, the sketches show that the nanoparticle volume fractions and the magnetic field delay the separation of the boundarylayer. Full article

(This article belongs to the Special Issue Nanofluidics: Interfacial Transport Phenomena)

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25 pages, 6436 KiB

Open AccessArticle

Comparative Numerical Study of Thermal Features Analysis between Oldroyd-B Copper and Molybdenum Disulfide Nanoparticles in Engine-Oil-Based Nanofluids Flow

by Faisal Shahzad, Wasim Jamshed, Rabha W. Ibrahim, Kottakkaran Sooppy Nisar, Muhammad Amer Qureshi, Syed M. Hussain, Siti Suzilliana Putri Mohamed Isa, Mohamed R. Eid, Abdel-Haleem Abdel-Aty and I. S. Yahia

Coatings 2021, 11(10), 1196; https://doi.org/10.3390/coatings11101196 - 30 Sep 2021

Cited by 31 | Viewed by 2757

Abstract

Apart from the Buongiorno model, no effort was ably accomplished in the literature to investigate the effect of nanomaterials on the Oldroyd-B fluid model caused by an extendable sheet. This article introduces an innovative idea regarding the enforcement of the Tiwari and Das [...] Read more.

Apart from the Buongiorno model, no effort was ably accomplished in the literature to investigate the effect of nanomaterials on the Oldroyd-B fluid model caused by an extendable sheet. This article introduces an innovative idea regarding the enforcement of the Tiwari and Das fluid model on the Oldroyd-B fluid (OBF) model by considering engine oil as a conventional base fluid. Tiwari and Das’s model takes into account the volume fraction of nanoparticles for heat transport enhancement compared to the Buongiorno model that depends significantly on thermophoresis and Brownian diffusion impacts for heat transport analysis. In this paper, the thermal characteristics of an Oldroyd-B nanofluid are reported. Firstly, the transformation technique is applied on partial differential equations from boundary-layer formulas to produce nonlinear ordinary differential equations. Subsequently, the Keller-box numerical system is utilized to obtain final numerical solutions. Copper engine oil (Cu–EO) and molybdenum disulfide engine oil (MoS₂–EO) nanofluids are considered. From the whole numerical findings and under the same condition, the thermodynamic performance of MoS₂–EO nanofluid is higher than that of Cu–EO nanofluid. The thermal efficiency of Cu–EO over MoS₂–EO is observed between 1.9% and 43%. In addition, the role of the porous media parameter is to reduce the heat transport rate and to enhance the velocity variation. Finally, the impact of the numbers of Reynolds and Brinkman is to increase the entropy. Full article

(This article belongs to the Special Issue Nanofluidics: Interfacial Transport Phenomena)

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12 pages, 4135 KiB

Open AccessArticle

Numerical Approximation of Microorganisms Hybrid Nanofluid Flow Induced by a Wavy Fluctuating Spinning Disc

by Muhammad Bilal, Anwar Saeed, Taza Gul, Ishtiaq Ali, Wiyada Kumam and Poom Kumam

Coatings 2021, 11(9), 1032; https://doi.org/10.3390/coatings11091032 - 27 Aug 2021

Cited by 53 | Viewed by 3393

Abstract

The analysis explored a numerical simulation of microorganisms, carbon nanotubes (CNTs) and ferric oxide water-based hybrid nanofluid flow induced by a wavy fluctuating spinning disc with energy propagation. In the presence of CNTs and magnetic nanoparticulates, the nanofluid is synthesized. The exceptional tensile [...] Read more.

The analysis explored a numerical simulation of microorganisms, carbon nanotubes (CNTs) and ferric oxide water-based hybrid nanofluid flow induced by a wavy fluctuating spinning disc with energy propagation. In the presence of CNTs and magnetic nanoparticulates, the nanofluid is synthesized. The exceptional tensile strength, flexibility, and electrical and thermal conductivity of carbon nanotubes and iron nanoparticles have been extensively reported. The motive of the proposed analysis is to optimize thermal energy conveyance efficiency for a spectrum of industrial and biomedical applications. The phenomena have been expressed as a system of partial differential equations (PDEs) which contain the momentum, energy, concentration, and motile microorganism equations. The modeled equations have been diminished to the dimensionless system of nonlinear ODEs through a similarity framework. The Matlab built-in package boundary value solver has been utilized to solve the obtained system of ODEs. The findings are compared to the PCM technique for validity purposes. The results are illustrated graphically and discussed. The layout of a rotating disc has a positive effect on energy transition and velocity profile. The irregular rotating surface increases energy progression up to 15% relative to a smooth surface. The accumulation of nanocomposites (CNTs and magnetic nanoparticles) significantly enhanced the thermal capabilities of the liquid medium. When operating with a low distribution, it is more impactful. Full article

(This article belongs to the Special Issue Nanofluidics: Interfacial Transport Phenomena)

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18 pages, 4063 KiB

Open AccessArticle

Analytical Simulation for Magnetohydrodynamic Maxwell Fluid Flow Past an Exponentially Stretching Surface with First-Order Velocity Slip Condition

by Abdullah Dawar, Anwar Saeed, Zahir Shah, Wiyada Kumam, Saeed Islam and Poom Kumam

Coatings 2021, 11(8), 1009; https://doi.org/10.3390/coatings11081009 - 23 Aug 2021

Cited by 16 | Viewed by 3337

Abstract

The study of fluid flow upon an exponentially stretching surface has significant importance due to its applications in technological phenomena at the industrial level. These applications include condensing process of fluid film, heat exchanger processes, extrusion of plastic sheet in aerodynamics, cooling process [...] Read more.

The study of fluid flow upon an exponentially stretching surface has significant importance due to its applications in technological phenomena at the industrial level. These applications include condensing process of fluid film, heat exchanger processes, extrusion of plastic sheet in aerodynamics, cooling process of metal sheet, and growth of crystals, etc. Keeping in view all these applications, in this paper, we have discussed the magnetohydrodynamic flow of Maxwell fluid past an exponentially stretching sheet. The stretching surface is considered to be slippery by imposing the velocity slip condition. The magnetic field impact is taken into consideration. Furthermore, heat radiation, Joule heating, Brownian motion, and thermophoresis are also considered. The modeled system is reduced to ordinary differential equations with the help of similarity variables. For the analytical solution, we have used the homotopy analysis method. Furthermore, HAM is compared with the shooting method and found to be in great agreement. The squared residual error of the fluid flow problem at 15th order of approximations for Newtonian and non-Newtonian cases has been investigated. It is found that the fluid flow problem converges quickly for the case of non-Newtonian fluid as compared to Newtonian fluid. In addition, the velocity profile increases while the thermal and concentration profiles reduce with greater values of Darcy number. The thermal profile is the increasing function of the Brownian motion parameter and Eckert number whereas the concentration profile is the reducing function of the Brownian motion parameter and Eckert number. With the augmentation in Darcy number, the permeability strength of porous medium increases which concludes the increasing conduct of thermal and mass transportation. Full article

(This article belongs to the Special Issue Nanofluidics: Interfacial Transport Phenomena)

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