Dynamics search of highly magnetized blood laden with copper-gold-titania nanoparticles in a ciliary artery with catheterization and entropy DOI
Tilak Kumar Pal, Sanatan Das

Electromagnetic Biology and Medicine, Journal Year: 2024, Volume and Issue: 44(1), P. 26 - 64

Published: Dec. 30, 2024

Biomagnetic fluid dynamics (BFD) is an emerging and promising field within mechanics, focusing on the of bio-fluids like blood in presence magnetic fields. This research crucial medical arena for applications such as medication delivery, diagnostic therapeutic procedures, prevention excessive bleeding, treatment malignant tumors using particles. study delves into intricacies flow induced by cilia, carrying trihybrid nanoparticles (gold, copper, titania), a catheterized arterial annulus under robust field. The model incorporates factors Hall ion-slip currents (electromagnetic effects charged particles), metachronal propulsion (movement cilia propulsion), viscous dissipation, entropy. physical equations are transformed from laboratory frame to wave then simplified conditions low Reynolds number long wavelength. Optimal series solutions obtained through homotopy perturbation method (HPM). explores how various parameters shape bloodstream's features, presenting analyzing these visually. A notable finding that intensification results higher velocity annulus. Blood cooling observed with loading suspended nanoparticles. Entropy generation increases growing values parameters, while reverse trend noted Bejan number. wall shearing stress (WSS) reduces 2.84% 1% increase parameter. also provides brief overview boluses (or clumps blood) structured influence operating parameters. modified hybrid nano-blood (MHNB) forms smaller fewer compared pure (PB). Additionally, longer length enhanced trapping due stronger recovery motions cilia. holds potential benefits practitioners researchers diagnosing assessing coronary artery disease, valvular heart congenital abnormalities, well understanding traumatic brain injury neurological surgeries.

Language: Английский

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

Sukanya Das,

Sayan Das

et al.

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

Citations

5
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 DOI
Poly Karmakar, Sanatan Das

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

Citations

2
Modeling shear‐induced flow dynamics in a thermal Riga channel containing radioactive rGO‐magnetite‐mercury in an intense electromagnetic rotational setting DOI
Sanatan Das, Poly Karmakar, Tilak Kumar Pal

et al.

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

Citations

1
Machine learning and differential transform simulation in analysing the ionic liquid (EtSO4) based ternary hybrid flow over a curved geometry DOI
Assmaa Abd‐Elmonem, Hijaz Ahmad, Hakim AL Garalleh

et al.

Journal of Molecular Liquids, Journal Year: 2025, Volume and Issue: unknown, P. 127109 - 127109

Published: Feb. 1, 2025

Language: Английский

Citations

0
Applications of trihybrid nanofluid in industrial cooling systems: An investigation of thermophoresis in chemical reactive flow and thermal radiation DOI
Munawar Abbas, Nidhal Becheikh, Ibtehal Alazman

et al.

Journal of Radiation Research and Applied Sciences, Journal Year: 2025, Volume and Issue: 18(2), P. 101414 - 101414

Published: March 14, 2025

Language: Английский

Citations

0
Optimizing thermal and solutal dynamics trihybrid nanofluid fluid flow in industrial processes: The potential of thermal radiation and chemical reaction DOI
Ahmed M. Galal, Munawar Abbas,

Mostafa Mohamed Okasha

et al.

Journal of Radiation Research and Applied Sciences, Journal Year: 2025, Volume and Issue: 18(2), P. 101413 - 101413

Published: March 15, 2025

Language: Английский

Citations

0
A study of the couple stress on micropolar fluid flow saturating a porous medium in the presence of dust particles with hall current DOI Creative Commons
Devilal Kumawat, Devendra Kumar,

Mukesh Kumar Mahala

et al.

Results in Physics, Journal Year: 2025, Volume and Issue: unknown, P. 108195 - 108195

Published: March 1, 2025

Language: Английский

Citations

0
Bioconvective flow of Casson-Micropolar nanofluid over bidirectional surface with radiation thermophoretic and Cattaneo-Christov model DOI

Rejab Hajlaoui,

Aaqib Majeed,

Sami Ullah Khan

et al.

Journal of Radiation Research and Applied Sciences, Journal Year: 2025, Volume and Issue: 18(2), P. 101452 - 101452

Published: March 28, 2025

Language: Английский

Citations

0
Neural computing approach in simulating electrodynamics of magnetized blood enhanced with penta-hybrid nanoparticles in a multi-stenosed artery DOI
Puja Paul, Sanatan Das, Poly Karmakar

et al.

International Journal of Heat and Mass Transfer, Journal Year: 2025, Volume and Issue: 246, P. 127092 - 127092

Published: April 10, 2025

Language: Английский

Citations

0
AI-based forecasting of dynamic behaviors of Ag and ZnO nanoparticles-enhanced milk in an electromagnetic channel with exponential heating: dairy decontamination DOI
Sanatan Das, Poly Karmakar

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

Published: April 17, 2025

Language: Английский

Citations

0