Effects of viscous dissipation and chemical reaction on MHD squeezing flow of Casson nanofluid between parallel plates in a porous medium with slip boundary condition

Noor, Nur Azlina Mat; Shafie, Sharidan; Admon, Mohd Ariff

doi:10.1140/epjp/s13360-020-00868-w

Cited by 25 publications

(12 citation statements)

References 38 publications

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“…Later, researchers extend their study in the cylindrical domain with various fluid models since it is close to the actual applications such as Jiang et al 61 and Shah et al 62 studied Oldroyd-B fluid meanwhile Padma et al 63 , 64 studied Jeffrey fluid model as blood. Besides that, researchers also numerically investigated the slip velocity effect of the nanofluid model in different geometries and fluid models such as nanofluid flow on the plate with Casson nanofluid model 65 – 68 and Newtonian nanofluid model 69 , nanofluid flow in a channel with Rabinowitsch nanofluid model 70 , Newtonian carbon nanotubes model 71 and Casson nanofluid model 72 , 73 , nanofluid flow in cylindrical domain with Casson nanofluid model 74 – 76 . None of them solved analytically for Casson nanofluid with slip velocity effect in the cylindrical domain.…”

Section: Introductionmentioning

confidence: 99%

Unsteady natural convection flow of blood Casson nanofluid (Au) in a cylinder: nano-cryosurgery applications

Azmi

Mohamad

Jiann

et al. 2023

Sci Rep

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Nano-cryosurgery is one of the effective ways to treat cancerous cells with minimum harm to healthy adjacent cells. Clinical experimental research consumes time and cost. Thus, developing a mathematical simulation model is useful for time and cost-saving, especially in designing the experiment. Investigating the Casson nanofluid's unsteady flow in an artery with the convective effect is the goal of the current investigation. The nanofluid is considered to flow in the blood arteries. Therefore, the slip velocity effect is concerned. Blood is a base fluid with gold (Au) nanoparticles dispersed in the base fluid. The resultant governing equations are solved by utilising the Laplace transform regarding the time and the finite Hankel transform regarding the radial coordinate. The resulting analytical answers for velocity and temperature are then displayed and visually described. It is found that the temperature enhancement occurred by arising nanoparticles volume fraction and time parameter. The blood velocity increases as the slip velocity, time parameter, thermal Grashof number, and nanoparticles volume fraction increase. Whereas the velocity decreases with the Casson parameter. Thus, by adding Au nanoparticles, the tissue thermal conductivity enhanced which has the consequence of freezing the tissue in nano-cryosurgery treatment significantly.

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Section: Introductionmentioning

confidence: 99%

Unsteady natural convection flow of blood Casson nanofluid (Au) in a cylinder: nano-cryosurgery applications

Azmi

Mohamad

Jiann

et al. 2023

Sci Rep

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“…Azlina explored the influences of the chemical reaction and viscous dissipation on the MHD squeezing flow of Casson nanofluid in a horizontal channel with slip condition. Azlina discussed the effects of a chemical reaction on the magneto-hydrodynamic (MHD) squeeze flow of Casson fluid in a porous medium under slip conditions with viscous dissipation [25][26][27]. Shankar and Naduvinamani numerically simulated features of the Cattaneo-Christov heat and mass fluxes in an unsteady two-dimensional squeeze flow of a magnetohydrodynamic (MHD) Casson fluid between two parallel plates with radiation and Joule dissipation effects under the impact of time-dependent homogenous first-order chemical reactions [28].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Inertia Effect on Axisymmetric Squeeze Flow of Slightly Viscoelastic Fluid Film between Two Disks by Recursive Approach

Memon

Shaikh

et al. 2023

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In this study, we analyzed the inertia effect on the axisymmetric squeeze flow of slightly viscoelastic fluid film between two disks. A system of nonlinear partial differential equations (PDEs) in cylindrical coordinates, along with nonhomogenous boundary conditions, illustrates the phenomenon of fluid flow caused by squeezing with the inertia effect. The Langlois recursive approach was applied to obtain the analytical solution of the system having a stream function, axial and radial velocities, pressure distribution, normal and tangential stresses and normal squeeze force. These flow variables are also portrayed graphically to describe the effects of the Reynolds number and slightly viscoelastic parameter. The results show that by increasing the Reynolds number, the velocity profile decreases, and both the pressure distribution and shear stresses increase. Moreover, there is a small increase in normal squeeze force. When the slightly viscoelastic parameter approaches zero, the obtained solution of flow variables matches with the classical results. This study can be applied to understand the mechanism of load-bearing features in thrust bearings and in arthrodial human joint (knee and hip) diseases.

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“…Haq et al [22] probed into the magnetohydrodynamic stagnation point nanofluid flow by incorporating the effects of velocity and thermal slips. Noor et al [23] carried out a research study to understand how slip conditions and porosity of medium affect the flow of nanoliquid. Ramesh et al [24] examined the flows of MHD Casson fluid through a channel, considering the slip boundary conditions, and found that the slip factor tends to accelerate the fluid motion and raises the temperature.…”

Section: Introductionmentioning

confidence: 99%

Application of machine learning in the investigation of entropy generation incurred during electroosmotic flows of Casson nanofluid

Chand,

Tripathi

2023

Math Methods in App Sciences

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The present research article delves into the application of machine learning techniques in the study of entropy generation arising from the electro‐MHD Casson nanofluid flow in a symmetric microchannel. The inertial effect on fluid flow through a non‐Darcy porous medium is considered where we have taken into account the velocity, thermal, and concentration slips at boundaries. The resulting system of PDEs is converted to system of ODEs using appropriate wave frame transformations. The metamorphosed system is solved using bvp4c routine of MATLAB. The impact of several factors represented by respective parameters on velocity, nanofluid temperature, fraction of nanoparticles, entropy generation, and Bejan number are shown through graphs. This study also employs a machine learning technique in which Particle Swarm Optimization (PSO) algorithm has been used in conjunction with an Artificial Neural Network (ANN) to develop a predictive model capable of optimizing entropy generation within this specific fluidic context. Such an analysis could be useful in determining the optimum entropy generation in pulsatile transport of physiological fluid through intestine. With the use of above mentioned machine learning technique, the considered model offers the minimum entropy generation for specific values of the electroosmotic parameter, dimensionless temperature difference, and velocity slip parameter. It is observed that the flow with minimum electroosmosis effect and maintained at a specific velocity slip gives the optimal entropy generation.

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Effects of viscous dissipation and chemical reaction on MHD squeezing flow of Casson nanofluid between parallel plates in a porous medium with slip boundary condition

Cited by 25 publications

References 38 publications

Unsteady natural convection flow of blood Casson nanofluid (Au) in a cylinder: nano-cryosurgery applications

Unsteady natural convection flow of blood Casson nanofluid (Au) in a cylinder: nano-cryosurgery applications

Analysis of Inertia Effect on Axisymmetric Squeeze Flow of Slightly Viscoelastic Fluid Film between Two Disks by Recursive Approach

Application of machine learning in the investigation of entropy generation incurred during electroosmotic flows of Casson nanofluid

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