Impact of waste discharge concentration on fluid flow in inner stretched and outer stationary co-axial cylinders

Applied Thermal Engineering, Год журнала: 2024, Номер 244, С. 122757 - 122757

Опубликована: Фев. 17, 2024

Язык: Английский

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Numerical Study on Nanoparticles Aggregation with Brownian Motion in Fluid Flow Induced by Squeezing Porous Slider

BioNanoScience, Год журнала: 2024, Номер 14(3), С. 2446 - 2456

Опубликована: Май 25, 2024

Язык: Английский

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Design of Bayesian stochastic networks for numerical treatment of Williamson fluid stretching flow model with mixed convected heat generation

Numerical Heat Transfer Part B Fundamentals, Год журнала: 2024, Номер unknown, С. 1 - 24

Опубликована: Март 18, 2024

In the presented article, a stochastic network paradigm through Bayesian Regularization backpropagation neural (BRB-NN) is designed to interpret dynamics of Williamson fluid stretching flow model with mixed convected heat generation (WF-SFM). The governing nonlinear PDEs system WF-SFM reduced set ODEs by incorporating appropriate transformations. reference datasets for anticipated BRB-NN approach are created Adams solver numerical solutions varying material variable We, buoyancy factor λ, temperature characteristic parameter ε, thermal relaxation γ, source δ, and Prandtl numbers Pr. knacks artificial intelligence (AI) based procedure then employed on generated dataset WF-SFM. bias training, biased testing, validation conducted compute approximate results sundry scenarios, outputs in good agreement data that validate worthy performance proposed which further justified absolute error, mean squared error histogram illustrations regression measures. viable terms square (MSE) achieved at levels ranging from E−11 E−13, consistently all scenarios accuracy justification effectively proven low level MSE, optimal metric index as well distribution instances histograms negligible magnitude.

Язык: Английский

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Comparative study of some non-Newtonian nanofluid models across stretching sheet: a case of linear radiation and activation energy effects

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Фев. 28, 2024

The use of renewable energy sources is leading the charge to solve world's problems, and non-Newtonian nanofluid dynamics play a significant role in applications such as expanding solar sheets, which are examined this paper, along with impacts activation radiation. We physical flow issues using partial differential equations models like Casson, Williamson, Prandtl. To get numerical solutions, we first apply transformation make these ordinary equations, then MATLAB-integrated bvp4c methodology. Through examination dimensionless velocity, concentration, temperature functions under varied parameters, our work explores properties nanofluids. In addition tabular studies skin friction coefficient, Sherwood number, local Nusselt important components field graphically shown analyzed. Consistent previous research, adds new information continuing conversation area. Comparing Casson Williamson Prandtl nanofluids, it found that former has lower velocity. Compared nanofluid, advanced heat flux more quickly. transfer rates

Язык: Английский

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Investigation of the thermal analysis of a wavy fin with radiation impact: an application of extreme learning machine

Physica Scripta, Год журнала: 2023, Номер 99(1), С. 015225 - 015225

Опубликована: Дек. 6, 2023

Abstract The combined impact of radiation and convection on the heat transfer a wavy fin is scrutinized in present analysis. novelty this research work that it proposes deterministic machine learning model known as an extreme to address problem fin. effect convective Rosseland approximation for exchange have been considered investigation. nonlinear ordinary differential equation (ODE) converted its nondimensional form using appropriate dimensionless variables. Runge-Kutta-Fehlberg's fourth-fifth order technique (RKF 45) used solve ODE numerically. roles convection-conduction, radiation-conduction, thermal conductivity, parameters discussed satisfying prescribed temperature distribution rectangular fins with graphical visualization. A rise convection-conduction radiation-conduction variables decreased both Further, ANSYS simulation analyzes variation total flux fins. study demonstrates effectiveness selected through obtained results, which indicate potential regression providing accurate prediction.

Язык: Английский

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Thermal analysis of AA7075-AA7072/methanol via Williamson hybrid nanofluid model past thin needle: Effects of Lorentz force and irregular heat rise/fall

Case Studies in Thermal Engineering, Год журнала: 2023, Номер 53, С. 103883 - 103883

Опубликована: Дек. 9, 2023

Hybrid nanofluids have received remarkable attention due their promising thermal performance compared to conventional nanofluids. The use of hybrid is widely found in the pumping power, solar collector, electronic components, coolants nano devices, and engine applications etc. Such types grabbed attentionof researchers scientistswith aim understand depththe problems involving Therefore, primary objective present investigationis investigatethe nanofluid consisting asuspension aluminum alloys (AA7075-AA7072) methanol-base fluid. non-Newtonian Williamson fluid flow model under Lorentz force, irregular heat rise/fall impact past incessantly moving thinneedleis considered. governingflow equations are solved by bvp4c solver. Results computed for governing parameters such as magnetic field parameter, needle thickness Weissenberg number, volume fractions, constants. Graphs confirm that augmenting values number lead downfall velocity but reverse behavior noticed increasing nanoparticles fraction. A rise temperature has been magnitude field, rise/fallparameter, fraction a decline occurswithraising theneedle parameter. Detailed discussion about observed variation physical properties pertinent effects presented. proposed validated comparison with previouslypublished results.

Язык: Английский

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Thermal radiation and soret/dufour effects on amplitude and oscillating frequency of darcian mixed convective heat and mass rate of nanofluid along porous plate

Case Studies in Thermal Engineering, Год журнала: 2024, Номер 59, С. 104562 - 104562

Опубликована: Май 16, 2024

The influence of thermal radiations and Soret/Dufour significantly increases the mass heat transport in material science, geothermal process, chemical rectors exchangers due to temperature concentration variation nanoparticles. Main objective is enhance amplitude, oscillation frequency transfer using Soret Dufour characteristics Darcian radiating flow thermophoretic nanoparticles along vertical porous surface. dimensionless analysis performed develop convenient form governing thermodynamic nanofluid formulation. To programming algorithm FORTRAN language, primitive variable formulation used for both time-dependent steady models. numerical graphical outcomes type equations under boundary conditions are explored by implicit finite difference approach with Gaussian elimination scheme. Various pertinent parameters elaborate fluid velocity, surface concentrated nanoparticle volume fraction. Valuable novelty current research use results fluctuating shear stress, fluctuation heating rate rate. It found that parameter enhances velocity distribution maximum variations. noticed as radiation increases. transient stability prominent variations depicted amplitude stress enhances.

Язык: Английский

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A physics‐informed machine learning prediction for thermal analysis in a convective‐radiative concave fin with periodic boundary conditions

ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, Год журнала: 2024, Номер 104(7)

Опубликована: Апрель 4, 2024

Abstract The present research is focused on the inspection of unsteady heat dissipation through a radiative‐convective concave profiled fin along with periodic boundary conditions. Additionally, long‐short‐term memory machine learning (LSTM‐ML) approach used in this study to examine fluctuation temperature fin. current devoted solving highly non‐linear equation using physics‐informed neural network (PINN) approach. Using proper dimensionless terms, associated problem transformed into non‐dimensional system, and resulting partial differential (PDE) then numerically solved finite difference method (FDM). data‐driven LSTM‐ML technique, time‐dependent transmission also examined. impact various factors profile extended surface explained, results are visually displayed. distribution diminishes as convection‐conduction parameter radiation‐conduction rise. As amplitude thermal conductivity parameters improve, so does Furthermore, it demonstrated that although PINN closely matched FDM findings during training domain, only designed characteristics has potential predict accurately beyond trained region by capturing physics problem.

Язык: Английский

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Nanoparticle aggregation kinematics and nanofluid flow in convectively heated outer stationary and inner stretched coaxial cylinders: Influenced by linear, nonlinear, and quadratic thermal radiation

Modern Physics Letters B, Год журнала: 2024, Номер unknown

Опубликована: Май 18, 2024

The consequence of nanoparticle aggregation and convective boundary condition on the nanofluid stream past co-axial cylinder with radiation impact is investigated in present examination. influence linear, nonlinear, quadratic thermal flow analyzed. outer stays stable, while inner deforms horizontally axial direction, allowing fluid to flow. By using similarity variables, governing equations are transformed into ordinary differential (ODEs). Subsequently, Runge–Kutta–Fehlberg fourth-fifth order (RKF-45) method employed solve reduced ODEs. upshot several nondimensional terms temperature velocity profiles displayed graphical representation. comparison quadratic, nonlinear profile illustrated. upsurge curvature parameter increases profile. increase intensifies improves a rise values parameter. generates energy zone, which why field has improved. Biot number exhibits an increasing response layer thickness. linear shows better heat transfer compared radiation.

Язык: Английский

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Stacking regression model approach to mixed convection flow of ternary- nanofluid over slanted surface with magnetic field, waste discharge concentration, and joule heating effects

International Journal of Thermofluids, Год журнала: 2024, Номер 23, С. 100731 - 100731

Опубликована: Июнь 12, 2024

The current work is carried out to investigate the mixed convection flow behavior of ternary-based nanofluid over an inclined surface in presence a magnetic field, waste discharge concentration, and joule heating effects. governing equations with proper assumptions were converted into ordinary differential (ODEs) form by implementing suitable similarity constraints solved Runge Kutta Fehlberg 4th 5th order shooting scheme. stacking regression model approach implemented along technique. obtained outcomes are presented graphs, correctness assessed using combination Gaussian Process Regression (GPR), Extra Tree (ETR), Random Forest (RF). consistency stability demonstrated closely linked testing training data. study show that rise constraint will improve velocity profile while improved values local pollutant external source variation parameters enhance concentration profile. Enhancement Eckart number solid volume fraction rate thermal distribution. Ternary shows significant improvement than nanofluid. drag force increased about 8 %-9 % assisting case %-17 for opposing different parameter, distribution from 75.54 11.55 16.87 25.70 Eckert number. study's results might contribute advancement more effective heat exchangers cooling systems electronics engines. Exploration extraction oil, as well creation efficient water purification systems.

Язык: Английский

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