Numerical investigation of magnetized bioconvection and heat transfer in a cross-ternary hybrid nanofluid over a stretching cylinder

Multidiscipline Modeling in Materials and Structures, Год журнала: 2024, Номер 20(6), С. 913 - 936

Опубликована: Авг. 26, 2024

Purpose In this study, we investigate the effects of an extended ternary hybrid Tiwari and Das nanofluid model on ethylene glycol flow, with a focus heat transfer. Using Cross non-Newtonian fluid model, explore transfer characteristics unique in various applications such as pharmaceutical solvents, vaccine preservatives, medical imaging techniques. Design/methodology/approach Our investigation reveals that flow follows laminar pattern, influenced by radiation occurring around stretched cylinder porous medium. We apply non-similarity transformation to nonlinear partial differential equations, converting them into non-dimensional PDEs. These equations are subsequently solved ordinary (ODEs) using MATLAB’s bvp4c tools. addition, magnetic number study spans from 0 5, volume fraction nanoparticles varies 5% 10%, Prandtl for EG 204. This approach allows us examine impact temperature distribution within fluid. Findings Graphical depictions illustrate parameters Weissenberg number, parameter, Schmidt thermal conductivity Soret Eckert Lewis Peclet velocity, temperature, concentration, microorganism profiles. results highlight significant influence ohmic heating transmission, particularly relation Darcy parameters. A higher corresponds faster diffusion compared mass diffusion, while increases associated concentration Additionally, rapid dissipation inhibits microbial development, reducing profile. Originality/value The numerical analysis skin friction coefficients Nusselt numbers tabular form further validates our approach. Overall, findings demonstrate effectiveness technique providing comprehensive understanding processes nanofluids, offering valuable insights practical applications.

Язык: Английский

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Darcy–Brinkman Model for Ternary Dusty Nanofluid Flow across Stretching/Shrinking Surface with Suction/Injection

Fluids, Год журнала: 2024, Номер 9(4), С. 94 - 94

Опубликована: Апрель 18, 2024

Understanding of dusty fluids for different Brinkman numbers in porous media is limited. This study examines the Darcy–Brinkman model two-dimensional magneto-hydrodynamic fluid flow across permeable stretching/shrinking surfaces with heat transfer. Water was considered as a conventional base which copper (Cu), silver (Ag), and titanium dioxide (TiO2) nanoparticles were submerged preparation ternary nanofluid. The governing nonlinear partial differential equations are converted to ordinary through suitable similarity conversions. Under radiation mass transpiration, analytical solutions stretching sheets/shrinking sheets obtained. Several parameters investigated, including magnetic field, model, solution domain, inverse Darcy number. outcomes present article reveal that increasing number decreases velocity phase. Increasing field momentum boundary layer. Ternary nanofluids have significantly improved transmission process manufacturing applications engineering, biological physical sciences. findings this demonstrate nanofluid phase’s transpiration performance better than performance.

Язык: Английский

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Nonsimilar analysis of forced convection radially magnetized ternary hybrid nanofluid flow over a curved stretching surface

Numerical Heat Transfer Part B Fundamentals, Год журнала: 2024, Номер unknown, С. 1 - 29

Опубликована: Май 19, 2024

This study focuses on analyzing the rheological properties of Carreau–Yasuda ternary hybrid nanofluid model a curved stretched sheet considering molybdenum disulfide (MoS2), graphene oxide (GO), and Nichrome (NiCr) immersed in base fluid ethylene glycol (EG). employs radial magnetic force that is directed perpendicular to direction flow manipulate motion characteristics nonNewtonian fluid. Augmenting value number leads decrease velocity as resistance introduced against its principal direction. Thermal radiation viscous dissipation effects are considered energy equation. Assumptions fundamental theories incorporated into mathematical formulation this problem. Following this, governing equations transformed dimensionless nonsimilar partial differential equation (PDE) by applying nonsimilarity transformation transformation, subsequently analyzed ordinary utilizing local method up second level truncation. By using MATLAB-integrated bvp4c solver, numerical solutions obtained. The results these various examined visual tabular representations thoroughly evaluate variances across different parameter settings. Furthermore, reduced Lorentz caused more surface, we gain insight impact physical quantities under parametric considerations related stretching which adds our knowledge complex dynamic phenomenon.

Язык: Английский

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Non-Similar Analysis of Boundary Layer Flow and Heat Transfer in Non-Newtonian Hybrid Nanofluid over a Cylinder with Viscous Dissipation Effects

Energies, Год журнала: 2025, Номер 18(7), С. 1660 - 1660

Опубликована: Март 26, 2025

Highlighting the importance of artificial intelligence and machine learning approaches in engineering fluid mechanics problems, especially heat transfer applications is main goal presented article. With advancement Artificial Intelligence (AI) Machine Learning (ML) techniques, computational efficiency accuracy numerical results are enhanced. The theme study to use techniques examine thermal analysis MHD boundary layer flow Eyring-Powell Hybrid Nanofluid (EPHNFs) passing a horizontal cylinder embedded porous medium with source/sink viscous dissipation effects. considered base water (H2O) hybrid nanoparticles titanium oxide (TiO2) Copper (CuO). governing equations nonlinear PDEs. Non-similar system PDEs obtained efficient conversion variables. dimensionless truncated using local non-similarity approach up third level solution evaluated MATLAB built-in-function bvp4c. Neural Networks (ANNs) simulation used trained networks predict behavior. Thermal improves enhancement value Rd. reliability ANNs predicted addressed computation correlation index residual analysis. RMSE [0.04892, 0.0007597, 0.0007596, 0.01546, 0.008871, 0.01686] for various scenarios. It observed that when concentration increases then characteristics cylinder.

Язык: Английский

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A mathematical model for three dimensional magnetohydrodynamic thermal nanofluid flow over a permeable Darcy-Forchheimer medium with chemical reaction and activation energy effects

Multiscale and Multidisciplinary Modeling Experiments and Design, Год журнала: 2025, Номер 8(5)

Опубликована: Март 27, 2025

Язык: Английский

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Deep learning investigation of water-based tetra hybrid nanofluid across a shrinking cylinder for variable electrical conductivity with thermal radiation

Journal of Radiation Research and Applied Sciences, Год журнала: 2024, Номер 18(1), С. 101213 - 101213

Опубликована: Ноя. 20, 2024

Язык: Английский

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Magnetic swirling flow and Cattaneo–Christov heat and mass flux over a stretchable cylinder: A dual stratification model

Ain Shams Engineering Journal, Год журнала: 2024, Номер 15(8), С. 102869 - 102869

Опубликована: Май 27, 2024

An investigation of the influence that Cattaneo–Christov heat and mass flux have on whirling flow occurs across a stretchable cylinder is being carried out in this study. This model takes into consideration impact magnetic field, addition to also taking account diffusion solutes. During process developing mathematical model, Navier-Stokes equation was employed illustrate predicted. Under assumptions, partial differential equations were derived from an approximation using boundary layer approach. In order make advantage ordinary formalism, system transformed via application similarity transformations. The Runge Kutta Felberg-45 (RKF-45) method gives explanation does not any dimensions. Both quantitatively visually, impacts key physical variables are shown. It noticed that, Swirl velocity profile decayed for higher values parameter Reynolds Number. Further we temperature fields strengthen with enhanced Eckert numbers (Ec1 Ec2).

Язык: Английский

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Integrated artificial intelligence and non‐similar analysis for forced convection of radially magnetized ternary hybrid nanofluid of Carreau‐Yasuda fluid model over a curved stretching surface

International Journal for Numerical Methods in Fluids, Год журнала: 2024, Номер 96(12), С. 1864 - 1882

Опубликована: Авг. 3, 2024

Abstract The current study investigates the boundary layer flow of Carreau‐Yasuda (C‐Y) ternary hybrid nanofluid model in a porous medium across curved surface stretching at linear rate under influence applied radial magnetic field. , and are nanoparticles ethylene glycol is considered as base fluid. effects viscous dissipation ohmic heating present energy equation. governing partial differential equation (PDEs) nondimensionalized using non‐similarity transformations. They can be treated ordinary equations (ODEs) local method solutions obtained via bvp4c MATLAB tools. results evaluated by introducing computational intelligence approach utilizing AI‐based Levenberg–Marquardt scheme with backpropagation neural network (LMS‐BPNN) to investigate stability. authors intend use LMS‐BPNN optimize behavior (HNF) fluid sheet. Initial/reference through function (an embedded designed solve systems ODEs) systematically adjusting input parameters demonstrated Scenarios 1–5. There three options divide numerical data: 80% for training, 10% testing, an additional validation. used approximate Scenario efficiency reliability validated fitness curves based on correlation index (R), error, regression analysis. velocity temperature profiles asymptotically satisfy conditions 1–5 LMS‐BPNN.

Язык: Английский

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Dynamics of sodium alginate-based ternary nanofluid flow over a stretching sheet with Al2O3, SiO2, and TiO2 nanoparticles

Multiscale and Multidisciplinary Modeling Experiments and Design, Год журнала: 2024, Номер 8(1)

Опубликована: Ноя. 8, 2024

Язык: Английский

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Magnetohydrodynamics (MHD) flow of ternary nanofluid and heat transfer past a permeable cylinder with velocity slip

Chinese Journal of Physics, Год журнала: 2024, Номер unknown

Опубликована: Дек. 1, 2024

Язык: Английский

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