Application of Arrhenius kinetics on MHD radiative Von Kármán Casson nanofluid flow occurring in a Darcy-Forchheimer porous medium in the presence of an adjustable heat source

Ragupathi, P.; Muhammad, Taseer; Islam, Saeed; Wakif, Abderrahim

doi:10.1088/1402-4896/ac297c

Cited by 25 publications

(5 citation statements)

References 47 publications

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“…The surface temperature is represented by and represents the ambient temperature. Keeping in mind the aforementioned flow assumptions, the governing equations can be written as 40 : with boundary conditions 46 , 47 : …”

Section: Problem Formulationmentioning

confidence: 99%

A semi-analytical passive strategy to examine the water-ethylene glycol (50:50)-based hybrid nanofluid flow over a spinning disk with homogeneous–heterogeneous reactions

Algehyne

Altaweel

Saeed

et al. 2022

Sci Rep

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Scientists and researchers are much interested in studying graphene and silver nanoparticles for the enhancement of heat transport due to their extensive variety of applications in different areas of industrial and engineering such as drug delivery, medical devices, ultra-light, excellent electrical conductivity, strong medical strength, health care, consumer, food, etc. Therefore, in the existing investigation, the MHD flow of a mixed convective hybrid nanoliquid with graphene and silver nanoparticles past a rotating disk is considered. Water and ethylene glycol (50:50) is used as a base liquid in the existing model. The mechanism for heat transport is computed with the existence of thermal radiation and thermal convective condition. Homogeneous and heterogeneous chemical reactions are assumed in the flow behavior. The mathematical formulation of the proposed problem is based on the nonlinear PDEs which are then transformed to nonlinear ODEs by manipulating the appropriate similarity transformation. The simulation of the existing problem has been performed with the help of the homotopy analysis technique. The outcomes of the different flow parameters on the velocities, temperature, concentration, skin friction coefficient, and Nusselt number of the hybrid nanofluid are attained via graphs and tables. Some significant results from the existing problem demonstrate that the rate of heat transport is greater for the thermal Biot number and nanoparticles volume fraction. Further, it is noticed that the velocity of the liquid particles becomes lower for a higher magnetic field parameter.

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Section: Problem Formulationmentioning

confidence: 99%

A semi-analytical passive strategy to examine the water-ethylene glycol (50:50)-based hybrid nanofluid flow over a spinning disk with homogeneous–heterogeneous reactions

Algehyne

Altaweel

Saeed

et al. 2022

Sci Rep

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“…Raju and Sandeep [16] used the Runge-Kutta and Newton's methods to obtain the solution of MHD slip fow of a dissipative Casson fuid over a moving wedge with heat source/sink. Recently, researchers focused on investigating the sundry fow features of Casson nanofuid in diferent frames [17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Investigation of Magnetized Casson Nanofluid Flow along Wedge: Gaussian Process Regression

Shanmugapriya,

Sundareswaran,

Gopi Krishna

et al. 2024

International Journal of Mathematics and Mathematical Sciences

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An unsteady two-dimensional magnetized Casson nanofluid flow model is constructed over a wedge under the effect of thermal radiation and chemical reaction. The multiple slip effects are also assumed near the surface of the wedge along with the convective boundary restrictions. This study investigates the application of soft computing techniques to address the challenges posed by the complexity of problem modeling and numerical methods. Traditional approaches incorporating various model factors may struggle to provide accurate solutions. To resolve this issue, Gaussian process regression (GPR) is employed to predict the solution of the proposed flow model. With the help of the numerical shooting method together with Runge–Kutta–Fehlberg fourth-fifth-order (RKF-45) reference data, the GPR model is trained. The numerical simulation illustrated that the Casson fluid parameter β and the unsteadiness parameter S strengthen the friction factor, and the heat transfer rate is enhanced as the radiation parameter Rd becomes larger. In addition, the Biot numbers Bi1 & Bi2 lead to strengthen nanoparticle temperature; an opposite behavior is noticed with the skin friction coefficient S˜fxRex0.5, heat transfer rate H˜tx Rex0.5, and nanoparticle transfer rate C˜txRex0.5. The GPR model with the exponential Kernel function provided better performance than other functions on both training and checking datasets to predict S˜fxRex0.5,H˜tx Rex0.5, and C˜txRex0.5. Statistical metrics including RMSE, MAE, MAPE, MSE, R2, and R are employed to check the accuracy and convergences of the predicted and numerical solutions obtained through GPR and RKF-45. It is observed that all three GPR models had an R2 value of higher than 0.9. The proposed study demonstrates the advantages of employing soft computing methods (GPR) to effectively analyse the behavior of complex flow models.

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“…Recently, Prasannakumara 25 investigated the influence of porous media on methanol and NaAlg based nanofluid flow through Tiwari-Das model. Ragupathi et al in 26 explored radiative Casson nanofluid over a radially stretching and rotating disk.…”

Section: Introductionmentioning

confidence: 99%

Heat and mass transfer with entropy optimization in hybrid nanofluid using heat source and velocity slip: a Hamilton–Crosser approach

Afzal,

Qayyum,

Chambashi

2023

Sci Rep

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The modeling and analysis of hybrid nanofluid has much importance in industrial sector where entropy optimization is the key factor in different processes. This mechanism is also used in medical industry, where it can be used for separation of blood cells (red and white blood cells, platelets and plasma) by centrifuge process, treating cancers, and drug transport. In light of this importance, current study is focused on mathematical modeling and analysis of blood based hybrid nanofluid between rotating disks with various shapes of nanoparticles. The shape factors are taken into account with Hamilton–Crosser model as spherical, brick, cylinder and platelet in the current scenario, with special reference to entropy optimization. In order to solve modeled nonlinear and non-dimensional system, optimal homotopy analysis approach is utilized through Wolfram MATHEMATICA 11.3 software. Error estimation and convergence analysis confirms that obtained semi-analytical solutions are valid and reliable. Velocity, temperature and concentration profiles are analyzed against important fluid parameters. Fluid velocity decreased in all directions when unsteady parameter $$\mathbb {B}$$ B and Darcy number Da increased while the slip parameters $$\zeta _{1}$$ ζ 1 and $$\zeta _{2}$$ ζ 2 decreased the nanofluid velocity. It is observed that in case of brick shaped nanoparticles, fluid temperature is enhanced as compared to other shape factors in the study. Minimal entropy generation is captured in case of spherical nanoparticles, while highest heat transfer is observed in platelet shaped nanoparticles. Furthermore, numerical optimization of entropy is performed against different values of $$\hbar$$ ħ and volume fractions $$\varphi _{Rd}$$ φ Rd and $$\varphi _{Al}$$ φ Al . Minimized entropy is recovered to be zero when $$\hbar =-0.6$$ ħ = - 0.6 , $$\varphi _{Rd}=2\%$$ φ Rd = 2 % and $$\varphi _{Al}=1\%$$ φ Al = 1 % .

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Application of Arrhenius kinetics on MHD radiative Von Kármán Casson nanofluid flow occurring in a Darcy-Forchheimer porous medium in the presence of an adjustable heat source

Cited by 25 publications

References 47 publications

A semi-analytical passive strategy to examine the water-ethylene glycol (50:50)-based hybrid nanofluid flow over a spinning disk with homogeneous–heterogeneous reactions

A semi-analytical passive strategy to examine the water-ethylene glycol (50:50)-based hybrid nanofluid flow over a spinning disk with homogeneous–heterogeneous reactions

Investigation of Magnetized Casson Nanofluid Flow along Wedge: Gaussian Process Regression

Heat and mass transfer with entropy optimization in hybrid nanofluid using heat source and velocity slip: a Hamilton–Crosser approach

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