Numerical Simulation of Magnetic Drug Targeting to the Stenosis Vessel Using Fe3O4 Magnetic Nanoparticles Under the Effect of Magnetic Field of Wire

Badfar, Homayoun; Motlagh, Saber Yekani

doi:10.1007/s13239-019-00446-x

Cited by 20 publications

(8 citation statements)

References 30 publications

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“…The Levenberg-Marquardt algorithm is one of the fastest implementation methods for backpropagation algorithm and has a very high efficiency for a medium network. The main drawback of this method is the need to store large matrices in memory, and this issue requires a lot of space [43][44][45][46][47], see reference [48] for more details. Another method used is the Bayesian regularization algorithm.…”

Section: Geofluidsmentioning

confidence: 99%

Utilizing Artificial Neural Network for Load Prediction Caused by Fluid Sloshing in Tanks

Chegini

Zarepour

2021

Geofluids

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In this research, neural network models were used to predict the action of sloshing phenomena in a tank containing fluid under harmonic excitation. A new methodology is proposed in this analysis to test and simulate fluid sloshing behavior in the tank. The sloshing behavior was first modeled using the smooth particle hydrodynamics (SPH) method. The backpropagation of the error algorithm was then used to apply the two multilayer feed-forward neural networks and the recurrent neural network. The findings of the SPH process are employed in the training and testing of neural networks. Input neural network data include the tank position, velocity, and acceleration, neural output data, and fluid sloshing curve wave position. The findings of the neural networks were correlated with the experimental evidence provided in the literature. The findings revealed that neural networks can be used to predict fluid sloshing.

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Section: Geofluidsmentioning

confidence: 99%

Utilizing Artificial Neural Network for Load Prediction Caused by Fluid Sloshing in Tanks

Chegini

Zarepour

2021

Geofluids

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“…However, more biomedical engineering applications, such as drug transport, tissue regeneration, wound healing, and biomagnetic nano-pharmacodynamics, are beginning to emerge. Badfar et al [ 13 ] used Fe

nanoparticles coated with a drug to carry out the magnetic drug targeting in the vessel’s stenosis region. They also investigated how the wire’s location as a magnetic source affected the MDT.…”

Section: Introductionmentioning

confidence: 99%

Computer Simulations of EMHD Casson Nanofluid Flow of Blood through an Irregular Stenotic Permeable Artery: Application of Koo-Kleinstreuer-Li Correlations

et al. 2023

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A novel analysis of the electromagnetohydrodynamic (EMHD) non-Newtonian nanofluid blood flow incorporating CuO and Al2O3 nanoparticles through a permeable walled diseased artery having irregular stenosis and an aneurysm is analyzed in this paper. The non-Newtonian behavior of blood flow is addressed by the Casson fluid model. The effective viscosity and thermal conductivity of nanofluids are calculated using the Koo-Kleinstreuer-Li model, which takes into account the Brownian motion of nanoparticles. The mild stenosis approximation is employed to reduce the bi-directional flow of blood to uni-directional. The blood flow is influenced by an electric field along with a magnetic field perpendicular to the blood flow. The governing mathematical equations are solved using Crank-Nicolson finite difference approach. The model has been developed and validated by comparing the current results to previously published benchmarks that are peculiar to this study. The results are utilized to investigate the impact of physical factors on momentum diffusion and heat transfer. The Nusselt number escalates with increasing CuO nanoparticle diameter and diminishing the diameter of Al2O3 nanoparticles. The relative % variation in Nusselt number enhances with Magnetic number, whereas a declining trend is obtained for the electric field parameter. The present study’s findings may be helpful in the diagnosis of hemodynamic abnormalities and the fields of nano-hemodynamics, nano-pharmacology, drug delivery, tissue regeneration, wound healing, and blood purification systems.

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“…There is convincing experimental report that NP-coated drug in the domain of vessel stenosis could be guided toward target delivery in a magnetic field environment [24][25][26][27][28]. Hence, the numerical study of Badfar et al [29] described the dynamics of droplet formation and vortex generation in a magnetic field drug targeting and dispensing intervention using Fe3O4-based nanoparticle in arterial stenosis of specified geometric constrictions. Ahmed and Nadeem [30] showed that varying configuration of shaped nanoparticle of metallic copper could be modeled to describe angioplasty using mathematical techniques of perturbation approximation to estimated balloon rise of angioplasty procedure in a model catheterized stenotic blood flow.…”

Section: Introductionmentioning

confidence: 99%

“…Numerical approaches are presently being explored in nanoparticle-based fluid mechanics. For instance, Badfar et al [41] developed a scheme based on finite volume method for magnetic drug targeting in a two-phase dynamics in a stenotic arterial vessel to predict droplet formation and vortices propagation.…”

Section: Introductionmentioning

confidence: 99%

Numerical Analysis of Au/Hybird Nanofluid Flowing Through an Asymmetry-Type Stenotic Rotator-Cuff Balloon under the Influence of Magnetic Field

Ige¹,

Oyelami²,

Etokowoh³

et al. 2023

IJDNE

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Rotator-cuff tear and vascular-related stenosis are common diseases in the elder persons. A balloon-like rotator-cuff is proscribed as the usual clinical intervention. Recently, computational schemes are being sought to enhance clinical outcomes in vascular-related repairs. This paper presents a numerical treatment of asymmetrically-shaped goldembedded nanoparticle in stenotized conduit under the influence of magnetic field. We described the dynamics of fluid and particle transport under externally imposed field effect using established mathematical formulations. Thereafter, a robust numerical scheme built around spectra-relaxation scheme to implement the solution over conformation in the Au-blood stream under magnetic field imposition.

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Numerical Simulation of Magnetic Drug Targeting to the Stenosis Vessel Using Fe3O4 Magnetic Nanoparticles Under the Effect of Magnetic Field of Wire

Cited by 20 publications

References 30 publications

Utilizing Artificial Neural Network for Load Prediction Caused by Fluid Sloshing in Tanks

Utilizing Artificial Neural Network for Load Prediction Caused by Fluid Sloshing in Tanks

Computer Simulations of EMHD Casson Nanofluid Flow of Blood through an Irregular Stenotic Permeable Artery: Application of Koo-Kleinstreuer-Li Correlations

Numerical Analysis of Au/Hybird Nanofluid Flowing Through an Asymmetry-Type Stenotic Rotator-Cuff Balloon under the Influence of Magnetic Field

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