The assessment of time dependent flow of Williamson fluid with radiative blood flow against a wedge

Subbarayudu, K.; Suneetha, S.; Reddy, P. Bala Anki

doi:10.1016/j.jppr.2019.07.001

Cited by 56 publications

(26 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A mathematical description of MHD flow entropy generation in a perpendicular porous medium was addressed by Fersadou et al (2015). The blood flow for the testing applications was studied by Reddy et al (2018) and Subbarayudua et al (2020).…”

Section: Introductionmentioning

confidence: 99%

Irreversibility analysis of the couple stress hybrid nanofluid flow under the effect of electromagnetic field

Gul

Qadeer

Alghamdi

et al. 2021

HFF

View full text Add to dashboard Cite

Purpose This paper aims to consider the heat transportation together with irreversibility analysis for the flow of couple stress hybrid nanofluid past over a stretching surface. The innovative characteristics of this paper include electro-magnetohydrodynamic (EMHD) term, viscous dissipation, Joule heating and heat absorption\omission. The hybrid nanofluid is prepared due to the suspension of the solid nanoparticles of the single wall and multi-wall carbon nanotubes (SWCNTs and MWCNTs) in the blood for the testing purpose of heat transfer and drug deliveries. The experimental value of the Prandtl number used for the blood is 21 from the available literature and very large as compared to the Prandtl number of the other base fluids. Appropriate transformations are incorporated to convert the modeled partial differential equations into the nonlinear ordinary differential equations. The homotopy analysis method (HAM) is used to obtain the solution. The explanation for velocity, energy and entropy are exposed under the influence of various parameters such as E, M, k, Q, S and Ec. The numerical values are calculated and summarized for dimensionless Cf and Nu. Design/methodology/approach In this investigation, heat transportation together with irreversibility analysis for the flow of couple stress hybrid nanofluid past over a stretching surface is considered. The innovative characteristics of this paper include EMHD term, viscous dissipation, Joule heating and heat absorption\omission. The hybrid nanofluid is prepared due to the suspension of the solid nanoparticles of the SWCNTs and MWCNTs in the blood for the testing purpose of heat transfer and drug deliveries. The experimental value of the Prandtl number used for the blood is 21 from the available literature and very large as compared to the Prandtl number of the other base fluids. Appropriate transformations are incorporated to convert the modeled partial differential equations into the nonlinear ordinary differential equations. The HAM is used to obtain the solution. The explanation for velocity, energy and entropy are exposed under the influence of various parameters such as E, M, k, Q, S and Ec. The numerical values are calculated and summarized for dimensionless Cf and Nu. Findings The explanation for velocity, energy and entropy are exposed and the flow against various influential factors is discussed graphically. The numerical values are calculated and summarized for dimensionless In addition, the current study is compared for various values of to that published literature and an impressive agreement in terms of finding is reported. It has also been noticed that the and factors retards the hybrid nanofluid flow, while the temperature of fluid becomes upsurges by the rise in these factors. Originality/value This is examined while evaluating the previously discussed publications that study on EMHD aspects of magnetized Casson type hybrid nanofluid via entropy generation research is innovative but also acknowledging that the couple stress model challenged bilaterally on stretching surface has not yet been studied. So, there is an ongoing attempt to bridge such a space.

show abstract

Section: Introductionmentioning

confidence: 99%

Irreversibility analysis of the couple stress hybrid nanofluid flow under the effect of electromagnetic field

Gul

Qadeer

Alghamdi

et al. 2021

HFF

View full text Add to dashboard Cite

show abstract

“…When it came to investigating the issue of boundary layer flow over a flat surface, Blasius (1950), Sakiadis (1961), and others first looked into the theoretical aspects of approximation and precise methods. Few recent Williamson fluid research studies have been published in the study by Acharya et al (2019); Khan et al (2019b); Hamid and Khan (2019); Ibrahim and Gamachu (2019); Rasool et al (2019); Zaman and Gul (2019); Pandya et al (2020); Subbarayudu et al (2020). Thermal radiation is the process through which the heat of a material induces the emission of electromagnetic waves (variation of its internal energy).…”

Section: Introductionmentioning

confidence: 99%

MHD williamson nanofluid flow in the rheology of thermal radiation, joule heating, and chemical reaction using the Levenberg–Marquardt neural network algorithm

et al. 2022

View full text Add to dashboard Cite

Various studies have been conducted on the topic of predicting the thermal conductivity of nanofluids. Here, the thermal conductivity of nanofluids is determined using artificial neural networks since this approach is rapid and accurate, as well as cost-effective. To forecast the thermal conductivity of magnetohydrodynamic Williamson nanofluids flow through a vertical sheet, a feed-forward neural network with various numbers of neurons has been evaluated, and the best network based on the performance is selected. The fluid model incorporates the effects of Joule heating, heat generation absorption, thermal radiation, and a chemical reaction (MHD-WNF-HGA). A combination of heat radiation and reactive species improves the energy and solute profiles. The magnetic Reynolds number is assumed to be so small; therefore, the generated magnetic field has no effect. A postulate of similarity variables is used to convert the physical model in the form of nonlinear partial differential equations to an ordinary differential equation system. A supervised Levenberg–Marquardt backpropagation algorithm possesses a multilayer perceptron that is used for training the network, which is one of the top algorithms in machine learning. The bvp4c numerical technique is adopted to build the datasets for the construction of continuous neural network mapping. Flow, energy, and concentration profiles of the fluidic flow are constructed by adjusting several physical quantities such as the Williamson parameter, thermal radiation parameter, magnetic parameter, Eckert number, Darcy number, Brownian motion, and thermophoresis parameter. Analytical techniques such as error histogram graphs and regression-based statistical graphs are used to examine the accuracy of a suggested method. It has been found that the Levenberg–Marquardt backpropagation neural network mappings’ derivation, convergence, authentication, and consistency have been proven. Furthermore, thermal radiation assists the energy distribution to increase smoothly. Fluid velocity drops with the Williamson parameter, whereas thermophoresis impact enhances the strength of the nanofluid density.

show abstract

“…Ahmed and Akbar 32 studied viscous dissipation and thermal radiation in the boundary layer flow of Williamson fluid. Also, Subbarayudu et al 33 investigated some properties of radiative blood flow considering the time‐dependent Williamson fluid model. A numerical analysis of a single‐phase comparative study of Williamson nanofluid has been done by Jamshed and Nisar 34 .…”

Section: Introductionmentioning

confidence: 99%

Numerical investigation of MHD flow of Williamson nanofluid with variable viscosity pasting a wedge within porous media: A non‐Darcy model approach

et al. 2022

View full text Add to dashboard Cite

The present analysis is done for the investigation of the effect of various physical parameters on magnetohydrodynamic Williamson nanofluid boundary layer flow past a wedge through porous media taking a non-Darcy-Falkner-Skan model with consideration of varying wall temperature, variable viscosity, the effect of Brownian motion, and thermophoresis in the presence of heat source. The corresponding governing equations under the appropriate boundary conditions are first converted into ordinary differential equations (ODEs) in view of similarity transformations.Application of shooting method has been made to deal with these ODEs, and the effects of various parameters on nondimensional velocity, temperature, and concentration are investigated through graphs. Also, the effects of various parameters on surface skin friction, heat, and mass transfer rates are analyzed and are shown in Table 3. It has been noticed that heat and mass transfer rates are enhanced with variable viscosity coefficient and reduced with Brownian motion and thermophoresis parameters. As a significant outcome, the skin friction is found to be increased with increasing values of the Williamson parameter

show abstract

The assessment of time dependent flow of Williamson fluid with radiative blood flow against a wedge

Cited by 56 publications

References 23 publications

Irreversibility analysis of the couple stress hybrid nanofluid flow under the effect of electromagnetic field

Irreversibility analysis of the couple stress hybrid nanofluid flow under the effect of electromagnetic field

MHD williamson nanofluid flow in the rheology of thermal radiation, joule heating, and chemical reaction using the Levenberg–Marquardt neural network algorithm

Numerical investigation of MHD flow of Williamson nanofluid with variable viscosity pasting a wedge within porous media: A non‐Darcy model approach

Contact Info

Product

Resources

About