Computational examination of heat and mass transfer of nanofluid flow across an inclined cylinder with endothermic/exothermic chemical reaction

Case Studies in Thermal Engineering, Год журнала: 2024, Номер 57, С. 104336 - 104336

Опубликована: Апрель 1, 2024

The consequence of thermal performance and mass distribution endothermic/exothermic chemical reaction pollutant concentration on the nanoliquid stream via cylinder/plate in presence permeable media is explored present study. advancement efficient waste disposal pollution prevention techniques might result from studies fluid flow dispersion contaminants cylinders plates. Further, TiO2 nanoparticle offers improved conductivity, helps wide range technological industrial applications. governing partial differential equations (PDEs) problem are modelled converted to ordinary (ODEs) utilizing similarity variables. resultant ODEs numerically solved using Runge Kutta Fehlberg's fourth-fifth order (RKF-45) scheme. influence various non-dimensional parameters velocity, thermal, profiles illustrated with a graphical representation. comparison between cylinder plate geometry also displayed graphs. novel outcomes show that augmentation parameter reduces profile endothermic case elevates exothermic case. Elevating local external source leads rise profile. It around 10%–12% Cf, 4%–6% Nu 8%–12% Sh observed than plate. transfer rate for values solid fraction activation energy. In all modes, performs better geometry.

Язык: Английский

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Characteristics of sodium alginate-based hybrid nanofluid and darcy-forchheimer flow induced by starching surface with thermal radiation and Cattaneo–Christov heat flux model

Journal of Computational Science, Год журнала: 2024, Номер 76, С. 102209 - 102209

Опубликована: Янв. 6, 2024

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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Heat transfer analysis in a longitudinal porous trapezoidal fin by non-Fourier heat conduction model: An application of artificial neural network with Levenberg–Marquardt approach

Case Studies in Thermal Engineering, Год журнала: 2023, Номер 49, С. 103265 - 103265

Опубликована: Июль 8, 2023

Thermal critical issues commonly occur in advanced electrical devices as a response to excessive heat generation or loss efficient surface area for exclusion. This issue can be addressed by utilizing the extended improve transfer performance of devices. Thus, present analysis is devoted scrutinizing non-Fourier unsteady transference trapezoidal porous fin. Levenberg–Marquardt technique backpropagation artificial neural network (LMT-BANN) employed here analyze thermal variation The developed governing equation hyperbolic conduction (HHCE), which transformed into dimensionless partial differential (PDE) using variables. LMT-BANN on numerical data and trace approximation fin problem methodology that includes testing, training, validation. A graphical visualization consequences variables temperature field presented. notable evidence this study reveals magnitude convection factor increases, dissipation through gradually decreases. Further, has been determined an effective, reliable, rapidly convergent stochastic computational solver used effectively examining model.

Язык: Английский

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Significance of coupled effects of resistive heating and perpendicular magnetic field on heat transfer process of mixed convective flow of ternary nanofluid

Journal of Thermal Analysis and Calorimetry, Год журнала: 2023, Номер 149(2), С. 879 - 892

Опубликована: Дек. 2, 2023

Язык: Английский

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Implication of radiation on the thermal behavior of a partially wetted dovetail fin using an artificial neural network

Case Studies in Thermal Engineering, Год журнала: 2023, Номер 51, С. 103552 - 103552

Опубликована: Окт. 4, 2023

The simultaneous convection-radiation heat transfer of a partially wetted dovetail extended surface is investigated in this study. Also, the temperature variance behavior (DES) estimated through thermal models for wet and dry conditions using neural network with Levenberg-Marquardt scheme (NNLMS). corresponding governing energy equations fin are presented as set ordinary differential (ODE), which reduced to non-dimensional form dimensionless terms. Further, resulting coupled conductive, convective, radiative ODEs numerically solved utilizing Runge-Kutta-Fehlberg fourth-fifth order (RKF-45) scheme. Using graphical illustrations, resultant solutions physically determined by considering effects various nondimensional variables on behavior. From outcomes, it established that conductivity parameter enhances distribution fin, an upsurge convection-conduction variable, ratio parameter, radiation–conduction, diminishes profile considered surface. modelled problem's NNLMS efficacy demonstrated achieving best convergence unique assessed quantified results. outcomes indicate strategy successfully resolves problem.

Язык: Английский

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Computational analysis of ternary nanofluid flow in a microchannel with nonuniform heat source/sink and waste discharge concentration

Numerical Heat Transfer Part A Applications, Год журнала: 2023, Номер unknown, С. 1 - 18

Опубликована: Авг. 1, 2023

AbstractThe investigation of waste discharge concentration with microchannel plays a significant impact on environmental applications. Microchannels are utilized in treatment facilities for wastewater to manage the pollutants and impurities. Effective pollution control techniques may be created by investigating material's fluid flow dispersion microchannels. In view above applications, present examines electrically conducting incompressible ternary hybrid nanofluid movement nonuniform heat source/sink concentration. The governing equations converted into system ordinary differential using appropriate similarity constraints, resulting numerically solved RKF-45 (Runge Kutta Fehlberg 4th 5th) method. effects different nondimensional limitations visually displayed thoroughly explored patterns, distribution, profiles. analysis is done important engineering variables such as skin friction, transfer rate, mass transfer. Magnetic porous media shape factors directly influenced velocity temperature These two will decline improve temperature. Further, improvement local external pollutant fluid. rate improves increasing source constraint. work outcomes helpful exchangers, control, microfluidic chip devices, treatment, energy conversion.Keywords: magnetic fieldmicrochannelnonuniform source/sinkpollutant concentrationternary AcknowledgmentThe author would like extend his appreciation Deanship Scientific Research at King Khalid University, Saudi Arabia funding this through Group Program under grant No. RGP.2/218/44.Author contributionsPlanning Designing Manuscript: J. K. Madhukesh, Vinutha, B. C. Prasannakumara. Performed numerical calculation: Ioannis E. Sarris Madhukesh. Analysis Data: Amal Abdulrahman, Review Editing: Prasannakumara Sarris. Resources Investigation: Prasannakumara, Vinutha. Formal analysis: Vinutha Abdulrahman. Proof reading: Supervision Project administration: Abdulrahman.Data availabilityAll data available within manuscript.Disclosure statementNo potential conflict interest was reported authors.Additional informationFundingThis supported Research, University.

Язык: Английский

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Evolutionary Computing for the Radiative–Convective Heat Transfer of a Wetted Wavy Fin Using a Genetic Algorithm-Based Neural Network

Biomimetics, Год журнала: 2023, Номер 8(8), С. 574 - 574

Опубликована: Дек. 1, 2023

Evolutionary algorithms are a large class of optimization techniques inspired by the ideas natural selection, and can be employed to address challenging problems. These iteratively evolve populations using crossover, which combines genetic information from two parent solutions, mutation, adds random changes. This iterative process tends produce effective solutions. Inspired this, current study presents results thermal variation on surface wetted wavy fin algorithm in context parameter estimation for artificial neural network models. The physical features convective radiative heat transfer during wet conditions also considered develop model. highly nonlinear governing ordinary differential equation proposed problem is transmuted into dimensionless equation. graphical outcomes aspects profile demonstrated specific non-dimensional variables. primary observation decrease temperature with rise parameters convective-conductive parameters. implemented offers powerful technique that effectively tune network, leading an enhanced predictive accuracy convergence numerically obtained solution.

Язык: Английский

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Analysis of Heat Transfer Behavior of Porous Wavy Fin with Radiation and Convection by Using a Machine Learning Technique

Symmetry, Год журнала: 2023, Номер 15(8), С. 1601 - 1601

Опубликована: Авг. 18, 2023

The impact of convection and radiation on the thermal distribution wavy porous fin is examined in present study. A hybrid model that combines differential evolution (DE) algorithm with an artificial neural network (ANN) proposed for predicting heat transfer fin. equation representing variation reduced to its dimensionless arrangement numerically solved using Rung, e-Kutta-Fehlberg’s fourth-fifth order method (RKF-45). study demonstrates effectiveness this model, results indicate approach outperforms ANN parameters obtained through grid search (GS), showcasing superiority DE-ANN terms accuracy performance. This research highlights potential utilizing DE improved predictive modeling sector. originality it addresses problem by optimizing selection algorithm.

Язык: Английский

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Stochastic Levenberg–Marquardt Neural Network Implementation for Analyzing the Convective Heat Transfer in a Wavy Fin

Mathematics, Год журнала: 2023, Номер 11(10), С. 2401 - 2401

Опубликована: Май 22, 2023

The present research examines the steady, one-dimensional thermal distribution and heat transfer of a wavy fin. This analysis considers convective effects as well temperature-dependent conductivity. Furthermore, novel implementation neural network with backpropagated Levenberg–Marquardt algorithm (NN-BLMA)-based machine learning intelligent strategies is provided to interpret non-linear ordinary differential equation (ODE) study problem converted into its non-dimensional form using similarity transformation technique. dimensionless obtained then numerically explored via Runge–Kutta–Fehlberg scheme. A data set for varying pertinent parameters generated, an artificial model designed estimate behavior effectiveness proposed NN-BLMA subsequently endorsed by analyses regression model, mean square error, histograms. findings comprehensive computational parametric studies illustrate that presented technique, effective convergent stochastic numerical solver employed fin’s temperature dispersion optimizes conductivity parameter rises. Heat rate higher in fin compared rectangular

Язык: Английский

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