ANN-based Two hidden layers computational procedure for analysis of heat transport dynamics in polymer-based trihybrid Carreau nanofluid flow over needle geometry

Hybrid Advances, Год журнала: 2025, Номер unknown, С. 100396 - 100396

Опубликована: Янв. 1, 2025

Язык: Английский

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Advanced ANN computational procedure for thermal transport prediction in polymer-based ternary radiative Carreau nanofluid with extreme shear rates over bullet surface

Applied Rheology, Год журнала: 2025, Номер 35(1)

Опубликована: Янв. 1, 2025

Abstract Bullet surface has a significant role in many engineering and industrial sectors, due to its wide fluid-based thermal management systems. The current approach emphasizes heat transfer mechanism flow of ternary hybrid nanofluid over bullet shape geometry. integration infinite shear rate viscosity-based model Carreau explored the predictive capabilities enhanced transport nanofluid. purpose study is seek an advanced that accurately captures prediction under varying conditions rate. By utilizing artificial neural networks (ANNs), aim this simulate analyze how these fluids respond combined effects viscous dissipation, non-uniform sink source, radiation, viscosity when interacting with bullet-shaped physical initially generated set partial differential equations, based on assumption study, then system converted into ordinary equations (ODEs) using similarity transformations. This conversion simplifies more manageable form. resulting ODEs are numerically solved bvp4c method. solutions obtained from process compiled dataset, which used train through ANN. network designed predict solutions. increase velocity magnitude increases for stretching ratio parameter while it decreases location slip parameter. On other hand, temperature profile decreased augmentation numeric values radiation Eckert numbers demonstrates opposite trend generation number magnetic increment highest nanofluids compared nanofluids.

Язык: Английский

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Intelligent predictive networks of swimming of microorganism for tangent hyperbolic fluid flow with heat and mass transfer and Thompson and Troian slip conditions using Levenberg-Marquardt algorithm

Engineering Applications of Artificial Intelligence, Год журнала: 2025, Номер 152, С. 110749 - 110749

Опубликована: Апрель 15, 2025

Язык: Английский

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Spectral relaxation method to investigate novel ternary hybrid Carreau nanofluid model with permeable stenosed artery

ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, Год журнала: 2025, Номер 105(1)

Опубликована: Янв. 1, 2025

Abstract The exploration of blood‐based ternary nanofluid flow (Au, TiO₂, Ag) through a permeable stenosed artery with spatially dependent heat sink source is pivotal for advancing biomedical and engineering innovations such as hyperthermia treatments, drug delivery systems, external cooling simulations, thermal ablation, targeted therapies. This study focuses on the dynamics novel comprising Au, Ag nanoparticles, modeled Carreau fluid within geometry artery. effects magnetization spatial sources are analyzed to investigate velocity temperature profiles. A temperature‐dependent conductivity model employed better understand transport in arteries. spectral relaxation method (SRM) utilized derive numerical solutions, validated against well‐established bvp4c scheme. Among nanoparticles studied, Au demonstrates highest enhancement due its superior conductivity. Notably, increasing radiation parameter values (0.72, 1.2, 1.5, 1.7), improves by 9%, 7%, 6%, respectively.

Язык: Английский

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Computational Insights Into Nanoscale Heat Dynamics of Chemically Reactive and Magnetized Carreau Hybrid Bio‐Nanofluid Using a Multilayer Supervised Neural Computing Scheme

International Journal for Numerical Methods in Fluids, Год журнала: 2025, Номер unknown

Опубликована: Фев. 16, 2025

ABSTRACT The use of well‐designed nanoparticles in blood fluid can enhance heat transfer during medical interventions by improving thermophysical characteristics. It enables for targeted delivery to specific sites increasing surface area better exchange, which is crucial more efficient treatments. current attempt emphasizes on the enhanced thermal transport mechanism an aluminium alloy suspended Copper‐based nanofluid over inclined cylindrical containing motile gyrotactic microbes. Carreau viscosity model implemented expose intricate nature bio‐nanofluid, while heating source used simulate bio‐convective mechanism. In addition, hybrid bio‐nanofluids exhibits temperature effects that depend nanoparticle volume friction dependencies related dynamics spherical and shapes with distinct shape factors. physical generated system partial differential equations (PDEs) derived then transformed into a dimensionless ordinary (ODEs) using similarity functions. resulting reduced first‐order numerical solution obtained computational procedure. trend profiles examined mean governing parameters. Results are interpreted via tabular data MATLAB visualization. observed gravity impede flow direction magnetic field orientation causes decrease velocity increase profile. A declining noted microbe profile due higher values Peclet number numeric growth value microbe's factor. Heat rate drag force coefficients both differ reasonable amounts. proposed results build bridge between traditional computational‐based simulations advanced ANN‐based approaches, establishing robust foundation applications biomedical engineering.

Язык: Английский

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Intelligent neuron based interpretation of carreau trihybrid nanofluid model with streamline analysis: Configuration of distinct geometries

Journal of Radiation Research and Applied Sciences, Год журнала: 2024, Номер 17(4), С. 101154 - 101154

Опубликована: Окт. 17, 2024

Язык: Английский

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Optimization of nanoscale heat transport analysis of ternary hybrid nanofluid over three‐dimensional wedge geometry in magnetized environment

ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, Год журнала: 2024, Номер 105(1)

Опубликована: Ноя. 3, 2024

Abstract Exponential space‐based heat source with shear‐thinning/thickening behavior offers innovative insights into the optimization of thermal transport process in complex systems, such as cooling microelectronics, energy storage technologies, and biomedical devices, where accurate control is critical. This study explores investigation an exponential effects shear thinning/thickening a ternary infinite rate viscosity‐dependent Carreau water‐based nanofluid [Cu, Fe 3 O 4 , SiO 2 ] over three‐dimensional wedge magnetized environment. The interaction between magnetic fields explored through by classifying both shear‐thinning shear‐thickening effects. incorporation physical assumptions model gives set partial differential equations (PDEs) similarity transformations are launched to convert them ordinary (ODEs). Furthermore, bvp4c scheme used fetch numerical solution. Temperature profile increasing exponential‐based parameter due reduction absorption fluid. Ternary nanofluids exhibit highest temperature increment multiple nanoparticles compared hybrid or single‐nanoparticle nanofluids. Rate velocity decrement bi‐hybrid single‐particle

Язык: Английский

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Radiative Heat Transfer in MHD Copper-Based Polymer Nanofluid Over a Sphere using Larger Radius and Inter Particle Spacing of Nanoparticles

Results in Engineering, Год журнала: 2025, Номер unknown, С. 105012 - 105012

Опубликована: Апрель 1, 2025

Язык: Английский

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Repercussions of concentration and thermal transport of magnetized radiative ternary nanofluid over spinning sphere: Three neural layers modeling

Journal of Radiation Research and Applied Sciences, Год журнала: 2025, Номер 18(2), С. 101508 - 101508

Опубликована: Апрель 21, 2025

Язык: Английский

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Active Passive Control and Discharge Concentration analysis of Inter Particle Spacing Radius of nanofluid: Ratio of Momentum to Thermal Diffusivities

Case Studies in Thermal Engineering, Год журнала: 2025, Номер unknown, С. 106310 - 106310

Опубликована: Май 1, 2025

Язык: Английский

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