Study of blood flow inside the stenosis vessel under the effect of solenoid magnetic field using ferrohydrodynamics principles

Badfar, Homayoun; Motlagh, Saber Yekani

doi:10.1140/epjp/i2017-11685-3

Cited by 13 publications

(6 citation statements)

References 33 publications

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“…The parameters affecting the net axial velocity are shown in Figs. 4,5,6,7,8,9,10,11,12. The effect of the concentration of the particle C, for variation of the net axial velocity ⟨V fx ⟩ , versus y is shown in Fig.…”

Section: Resultsmentioning

confidence: 99%

“…A listing of the majority of the examinations has been offered specifically by Rath [2], Srivastava and Srivastava [3][4][5], and Srivastava and Saxena [6]. The study of peristaltic blood flow inside the stenosis vessel under the effect of solenoid magnetic field using ferrohydrodynamics principles was discussed by Abbas et al [7]. Mohammadein and Abu-Nab [8] studied the peristaltic flow of a Newtonian fluid through a porous medium surrounding vapor bubble in a curved channel.…”

Section: Introductionmentioning

confidence: 99%

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Effects of slip conditions and compressibility on the peristaltic flow of particulate suspension in a planar channel

2019

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This paper concerns with the peristaltic flow of a particle-fluid suspension (as blood model) through asymmetric twodimensional channel with slip conditions. The problem formulation is presented for a duct filled with a compressible viscous fluid mixed with rigid spherical particles. The resulting problems are solved by the perturbation expansion method. The effects of different physical parameters such as particles concentration, compressibility parameter, and slip parameter have a significant effect on velocity distributions and are presented and discussed graphically. It is found that the mean axial velocity increases as the slip parameter increases at a minimal compressibility parameter, and it decreases at a higher value of compressibility parameter with increasing slip parameter. This paper gives a scope for estimating the effects of the slip conditions of two-phase flow characteristics with compressible fluid problems and helps in understanding the role of the engineering applications of pumping solid-fluid mixture by peristaltically driven motion.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effects of slip conditions and compressibility on the peristaltic flow of particulate suspension in a planar channel

2019

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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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“…As shown in figure 6, the results are in good agreement with other numerical studies. For detailed information about the validity of the code used in this research, referred to the references of (Sharifi et al 2019a, 2019b, Badfar et al 2017, Motlagh and Soltanipour 2017.…”

Section: Validationmentioning

confidence: 99%

“…Moreover, by increasing the inclination angle of magnets, C f number is decreased. Badfar et al (2017) applied the principles of ferrohydrodynamics to study the blood flow inside the stenosis vessel. They considered blood as a homogeneous, Newtonian and electrically conductive fluid.…”

Section: Introductionmentioning

confidence: 99%

Two-phase modeling of flow control of laminar Fe₃O₄-water nanofluid flow around the cylinder by Kelvin force of wire magnetic field using ferro hydrodynamics principles

Motlagh¹,

Tolouei²,

Tolouei³

2020

Fluid Dyn. Res.

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Controlling the destructive behavior of the wake region and consequently drag reduction are great challenges in fluid mechanics and ocean engineering. In this paper, the effect of the non-uniform magnetic field on controlling the flow and consequently drag reduction has been studied in laminar flow of magnetic nanofluid around a circular cylinder. The source of the magnetic field is a single current-carrying wire located in the center of the cylinder. The nanofluid consists of Fe3O4 as nanoparticles and water as the base flow. The ranges of Reynolds number (Re), volume fraction (ϕ), and the diameters of nanoparticles are 1.6 < Re < 180, 0 < ϕ < 0.04 and 15 < dp < 25, respectively. The modified Buongiorno model that contains the magnetophoresis term is utilized to perform two-phase modeling of magnetic nanofluid flow. Finite volume method and PISO (Pressure-implicit With Splitting Of Operators) algorithm are utilized for the discretization of the governing unsteady equations including conservation laws of mass, volume fraction transport, and momentum equations by considering the ferrohydrodynamics (FHD) force as the source term. The results showed a significant effect of magnetic field intensity and volume fraction on the flow parameters such as drag coefficient, strouhal number, wake length, etc. In general, increasing the magnetic field in various volume fractions and various nanoparticle diameters reduces the amount of drag coefficient. The effective parameters for flow controlling are ordered as follows regarding their effectiveness: magnetic field intensity, volume fraction and diameter of the nanoparticles, respectively.

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Study of blood flow inside the stenosis vessel under the effect of solenoid magnetic field using ferrohydrodynamics principles

Cited by 13 publications

References 33 publications

Effects of slip conditions and compressibility on the peristaltic flow of particulate suspension in a planar channel

Effects of slip conditions and compressibility on the peristaltic flow of particulate suspension in a planar channel

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

Two-phase modeling of flow control of laminar Fe₃O₄-water nanofluid flow around the cylinder by Kelvin force of wire magnetic field using ferro hydrodynamics principles

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Study of blood flow inside the stenosis vessel under the effect of solenoid magnetic field using ferrohydrodynamics principles

Cited by 13 publications

References 33 publications

Effects of slip conditions and compressibility on the peristaltic flow of particulate suspension in a planar channel

Effects of slip conditions and compressibility on the peristaltic flow of particulate suspension in a planar channel

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

Two-phase modeling of flow control of laminar Fe3O4-water nanofluid flow around the cylinder by Kelvin force of wire magnetic field using ferro hydrodynamics principles

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Two-phase modeling of flow control of laminar Fe₃O₄-water nanofluid flow around the cylinder by Kelvin force of wire magnetic field using ferro hydrodynamics principles