Novel numerical and artificial neural computing with experimental validation towards unsteady micropolar nanofluid flow across a Riga plate

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 4, 2025

Fluid flow across a Riga Plate is specialized phenomenon studied in boundary layer and magnetohydrodynamic (MHD) applications. The magnetized surface used to manipulate characteristics control fluid properties. Understanding the behavior of over critical many applications, including aerodynamics, industrial, heat transfer operations. unsteady Micropolar nanofluid (UMNF) vertically oriented, nonlinearly stretchable sheet examined present study. effects variable thermal conductivity, thermophoretic force, Brownian diffusion on are analyzed. has been expressed form nonlinear system PDEs (partial differential equations), which reduced into non-dimensional ordinary (ODEs) by employing similarity transformation approach. dataset for training ANNs using Levenberg–Marquardt backpropagation (LMBP) technique generated numerical simulation methods. influence physical constraints dimensionless temperature, concentration, microrotation, velocity distributions graphically displayed discussed. Numerical results skin friction, Sherwood, Nusselt numbers presented tabular form. outcomes compared both published experimental validity purposes. It can be noticed that rate enhanced with rising Hartmann number, buoyancy slip parameter. UMNF model validated, tested, trained an average error 10−9, ensuring high accuracy energy, velocity, microorganism motility, concentration predictions.

Language: Английский

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Neuro-computational simulation of blood flow loaded with gold and maghemite nanoparticles inside an electromagnetic microchannel under rapid and unexpected change in pressure gradient

Electromagnetic Biology and Medicine, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 36

Published: Jan. 29, 2025

In cardiovascular research, electromagnetic fields generated by Riga plates are utilized to study or manipulate blood flow dynamics, which is particularly crucial in developing treatments for conditions such as arterial plaque deposition and understanding behavior under varied conditions. This research predicts the patterns of enhanced with gold maghemite nanoparticles (gold-maghemite/blood) an microchannel influenced a temperature gradient that decays exponentially, sudden changes pressure gradient. The modeling includes key physical influences like radiation heat emission Darcy drag forces porous media, mathematically represented through unsteady partial differential equations solved using Laplace transform (LT) method. Results, including shear stress (SS) rate transfer (RHT), graphically detailed, demonstrating velocity profile modifications Hartmann number width electrodes, differences RHT between hybrid nano-blood (HNB) (NB). results indicate increase distribution higher modified number, decrease wider electrodes. Temperature elevated both Notably, HNB enhances transmission flow. Furthermore, artificial intelligence-driven methodology employing neural network (ANN) has been incorporated facilitate rapid precise evaluations SS RHT, remarkable predictive accuracy. proposed algorithm exhibits outstanding accuracy, achieving 99.998% on testing dataset 96.843% during cross-validation predicting SS, 100% dataset, 95.008% RHT. implementation nanotechnology intelligence promises new tools doctors surgeons, potentially transforming patient care oncology, cardiology, radiology. model also facilitates generation guide drug-loaded magnetic applications targeted drug delivery, hyperthermia treatment, MRI contrast enhancement, monitoring, cancer controlled release.

Language: Английский

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Integration of artificial intelligence (AI) to predict the behavior of milk enhanced with silver and zinc oxide nanoparticles when subjected to rapid heating in a movable electromagnetic channel

Modern Physics Letters B, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 24, 2025

The implementation of artificial intelligence (AI) to predict and control the behavior milk enhanced with silver zinc oxide nanoparticles during electromagnetic heating enhances precision energy efficiency pasteurization sterilization processes. This approach ensures precise temperature management, reducing risk overheating maintaining milk’s nutritional sensory integrity. research examines flow dynamics (Ag-ZnO/milk) in a suddenly heated movable channel under sudden pressure variations. It incorporates significant physical phenomena such as radiant heat emission Darcy drag forces, Darcy’s model addressing within porous medium. are thoroughly defined mathematically physically, solutions succinctly derived using Laplace transform (LT) method. findings, including analyses shear stress (SS) rate transfer (RHT), presented tabularly graphically. study indicates an annex momentum higher modified Hartmann numbers enfeeblement wider electrode widths. Both hybrid nano-milk (HNM) (NM) exhibit thermal degradation, where rising Casson parameters amplify SS, whereas elevated radiation lead reduction RHT. Additionally, AI-driven neural network (ANN) demonstrates remarkable predictive precision, achieving 95.175% accuracy testing 99.64% cross-validation for SS predictions, while attaining perfect 100% RHT predictions across both phases. could development advanced equipment that utilizes technology more consistent better preservation qualities.

Language: Английский

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Modeling shear‐induced flow dynamics in a thermal Riga channel containing radioactive rGO‐magnetite‐mercury in an intense electromagnetic rotational setting

ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, Journal Year: 2025, Volume and Issue: 105(1)

Published: Jan. 1, 2025

Abstract The main goal of our study is to examine the shear‐induced flow dynamics a hybrid nanofluid (HNF) composed rGO/magnetite‐mercury within thermal vertical Riga channel in an intense electromagnetic rotational framework, invoking existence Hall and ion‐slip currents. model configuration involves static right wall left undergoing either impulsive motion (IM) or accelerated (AM), initiating fluid movement, which mathematically represented by unsteady partial differential equations. Laplace transform (LT) method harnessed get closed‐form solution for flow‐regulating Through graphical representations, we detail dominance critical parameters on functions quantities both IM AM scenarios. Our key findings admit that upswing rotation modified Hartmann number significantly diminishes velocity components cases. primary experiences notable diminution with amplification parameters, while secondary velocity's magnitude strengthens. Primary velocities are consistently higher compared AM. A heightened reduces shear stresses at moving due Additionally, more pronounced than AM, notably IM. As radiation parameter grows, rate heat transfer RHT walls diminishes. Moreover, HNF exceeds (NF). novelty lies its unique combination radioactive HNF, channel, effects, providing new insights into under extreme conditions, potential applications energy systems, nuclear reactor technology, spacecraft propulsion, satellite operations, space exploration, aerospace engineering, chemical mixing, materials processing.

Language: Английский

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AI-led study of dynamic changes in milk containing hybrid nanoparticles in an electromagnetically vibrated channel subjected to thermal oscillations and rapid pressure changes: Implications for dairy industry

Chinese Journal of Physics, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 1, 2024

Language: Английский

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AI-powered computational analysis of dynamic responses in a vibrating Riga sensor within a reactive platinum -cerium oxide-water mixture

Sensors and Actuators A Physical, Journal Year: 2024, Volume and Issue: 381, P. 116028 - 116028

Published: Nov. 14, 2024

Language: Английский

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AI-based prediction of flow dynamics of blood blended with gold and maghemite nanoparticles in an electromagnetic microchannel under abruptly changes in pressure gradient

Electromagnetic Biology and Medicine, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 31

Published: May 13, 2025

In cardiovascular research, electromagnetic fields (EMFs) induced by Riga plates are applied to study and potentially manipulate blood flow dynamics, offering insights for therapies against arterial plaque deposition understanding varied behaviors. This research focuses on predicting the patterns of infused with gold maghemite nanoparticles (gold-maghemite/blood) inside an EM microchannel under these influences abruptly change in pressure gradient. The models flows considering radiation heat emission Darcy drag forces within porous media. Mathematical representation involves time-variant partial differential equations, resolved through Laplace transform (LT) yield compact-form expressions model variables. outcomes, including shear stress (SS) rate transfer (RHT) across microchannel, analyzed displayed graphically, highlighting effects modified Hartmann number electrode width parameters. Hybrid nano-blood (HNB) (NB) exhibit distinct thermal characteristics, HNB transferring more flow. These implements a cutting-edge AI-powered approach high-fidelity evaluation critical parameters, achieving unprecedented prediction accuracy. Validation results confirm algorithm's excellence, SS predictions reaching 99.552% (testing) 97.019% (cross-validation) accuracy, while RHT show 100% testing accuracy 97.987% cross-validation reliability. convergence nanotechnology advanced machine learning paves way transformative clinical applications that could redefine standards care surgical oncology, interventional cardiology, therapeutic radiology. underpins potential such as controlled drug release magnetic fluid hyperthermia, enhancing procedures like cardiopulmonary bypass, vascular surgery, diagnostic imaging.

Language: Английский

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Analytical and numerical solution of MHD flow and heat transfer of a viscoelastic fluid in wire coating analysis

Deleted Journal, Journal Year: 2025, Volume and Issue: 7(2)

Published: Feb. 14, 2025

Language: Английский

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AI-based forecasting of dynamic behaviors of Ag and ZnO nanoparticles-enhanced milk in an electromagnetic channel with exponential heating: dairy decontamination

The European Physical Journal E, Journal Year: 2025, Volume and Issue: 48(4-5)

Published: April 17, 2025

Language: Английский

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Flow dynamics in a revolving Riga duct containing low‐ionization fluid subject to hall and ion‐slip electromotive forces

ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, Journal Year: 2025, Volume and Issue: 105(5)

Published: April 21, 2025

Abstract Applying external magnetic or electric fields, especially via a Riga plate, significantly improves flow efficiency by reducing friction and turbulence, enabling better management. This enhancement is particularly advantageous in enhancing the performance of engineered systems turbomachinery. Consequently, our research delves into dynamics low‐ionization fluid an extended infinite porous channel within rotating setup influenced Hall ion‐slip electromotive forces. The model examines various pressure gradient scenarios: impulsive (IPG), cosine (CPG), sine (SPG). We represent this through time‐varying partial differential equations solve these using Laplace transform (LT) method to obtain exact analytical solutions. Our carefully delineates dominance key factors on traits, employing graphical representations for IPG, CPG, SPG scenarios. observations reveal amelioration modified Hartmann number notedly enhances velocity components all types. A higher rotation parameter tends reduce primary velocity's shape profile, while secondary exhibits opposite trend. notably boosts with rise parameter, whereas decreases. Both velocities are generally IPG scenario than CPG SPG. Additionally, greater intensifies shear stresses cases, at lower plate being These findings offer substantial contributions sectors, including nuclear reactor technology, spacecraft propulsion, satellite operations, space exploration, aerospace engineering, so forth.

Language: Английский

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