A nanofluid MHD flow with heat and mass transfers over a sheet by nonlinear boundary conditions: Heat and mass transfers enhancement

Farhangmehr, Vahid; Moghadasi, Hesam; Asiaei, Sasan

doi:10.1007/s11771-019-4081-z

Cited by 22 publications

(11 citation statements)

References 34 publications

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“…Gangadhar, Kannan, and Jayalakshmi 17 used a numerical technique to derive an MHD micropolar nanofluid in the presence of Newtonian heating. Farhangmehr, Moghadasi, and Asiaei 18 computed an electrically conducting nanofluid of heat as well as mass transfer enhancement over a horizontal flat sheet. They considered the nonlinear magnetic field in their investigation.…”

Section: Introductionmentioning

confidence: 99%

MHD rotating flow of a Maxwell fluid with Arrhenius activation energy and non‐Fourier heat flux model

Ramaiah¹,

Surekha

Gangadhar

et al. 2020

Heat Trans

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In the present work, the effects of the transfer of heat, as well as the mass phenomenon of a Maxwell fluid in revolving flow over a unidirectional stretching surface are discussed. The result of the magnetic field within the boundary layer is considered. In the energy equation, the heat flux model of non-Fourier Cattaneo-Christov is employed. The customized Arrhenius function for energy activation is used. By using the transformation strategy, nondimensional expressions are achieved. To predict the highlights of the current effort, the result of the emerging nonlinear differential structure is calculated with the aid of the shooting procedure as well as the Runge-Kutta Fehlberg procedure. The influence of velocity and temperature along with concentration profiles for various physical parameters is analyzed. The involvement of fluid relaxation and thermal retardation phenomena is unequivocally mentioned.The evolution of heat transfer, as well as the rate of mass in the flow of fluids, is illustrated by the use of graphs in addition to tables. Furthermore, the current effort is confirmed by examination with previously published results, which establishes a strategy for the execution of a numerical approach. It is observed that the concentration of a solute in dual combination is relative to both rotation parameters along with activation energy. Besides this, a diminishing pattern in the distribution of temperature is described within the existence of the Cattaneo-Christov flux law by association with the rate of heat transfer because of Fourier's law. The present investigation can be applied in numerous engineering and technical procedures including the development of thin sheets, modeling of plastic sheets, in the lubrication system industry related to polymers, compression, and injection shaping in the area of chemical production and bimolecular reactions. Inspired by those applications, the present work is undertaken. K E Y W O R D S Arrhenius activation energy, Cattaneo-Christov heat flux model, chemical reaction, Maxwell fluid, MHD, rotating frame

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Section: Introductionmentioning

confidence: 99%

MHD rotating flow of a Maxwell fluid with Arrhenius activation energy and non‐Fourier heat flux model

Ramaiah¹,

Surekha

Gangadhar

et al. 2020

Heat Trans

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“…The heat transfer performance could be remarkably improved by using nanofluids 2‐9 . In this regard, several experimental and simulation works have been done to evaluate the nanofluid flow and heat transfer 10‐18 . Ahmadi et al 19 numerically scrutinized the pressure drop and heat transfer of water‐based Al 2 O 3 nanofluid within a square channel with an internal cylinder at a constant heat flux by two‐phase Euler–Lagrange method.…”

Section: Introductionmentioning

confidence: 99%

An experimental study of forced convective heat transfer for fully developed Al₂O₃–water nanofluid in an annulus tube

et al. 2021

Self Cite

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Nanofluids have been known as practical materials to ameliorate heat transfer within diverse industrial systems. The current work presents an empirical study on forced convection effects of Al2O3–water nanofluid within an annulus tube. A laminar flow regime has been considered to perform the experiment in high Reynolds number range using several concentrations of nanofluid. Also, the boundary conditions include a constant uniform heat flux applied on the outer shell and an adiabatic condition to the inner tube. Nanofluid particle is visualized with transmission electron microscopy to figure out the nanofluid particles. Additionally, the pressure drop is obtained by measuring the inlet and outlet pressure with respect to the ambient condition. The experimental results showed that adding nanoparticles to the base fluid will increase the heat transfer coefficient (HTC) and average Nusselt number. In addition, by increasing viscosity effects at maximum Reynolds number of 1140 and increasing nanofluid concentration from 1% to 4% (maximum performance at 4%), HTC increases by 18%.

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“…The frequency spectrum characteristics of the self-mixing signal reflect the movement characteristics of the particles in the Brownian motion, which indirectly reflects the particle size information of the particles. Therefore, the size of nanoparticles and their size distribution can be obtained by analyzing the self-mixing signal [3][4][5]. However, the traditional photon cross-correlation spectroscopy and dynamic light scattering based on elf-ixing nterferometry theories are both based on the Brownian motion of nanoparticles in nanosolutions (particle dispersion systems have no macroscopic directional motion, also called quasi-static particle dispersion systems), and they cannot realize particle dispersion.…”

Section: Introductionmentioning

confidence: 99%

Analysis of micro-motion of nanofluid particles based on machine vision

Chao

2021

THERM SCI

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In order to accurately analyze the motion characteristics of nanofluid particles in the flow state, a method for micro-motion analysis of nanofluid particles based on machine vision was proposed. The influence of temperature on the micro-motion of nanoparticles was studied by establishing a water-based near-wall flow simulation model of nanofluids, and the Lennard-Jones potential parameters of nanofluids were obtained. Machine vision imaging technology is used to establish a reference system for nanofluid particles micro-motion image acquisition. Based on this system, the micro-motion images of nanofluid particles are collected, and the micro-motion characteristics of nanofluid particles are accurately detected. An experimental measuring platform composed of optical system and electronic system is established. The rotational and translational motions of nanoparticles and the velocity and temperature distributions of nanofluids are obtained. It was found that the velocity gradient of the nanofluid near the wall was higher than that of the base liquid, and the temperature of the nanofluid near the wall was significantly higher than that of the single-phase base liquid. The experimental results show that the velocity and temperature distributions of nanofluids at different temperatures can be obtained by using this method.

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A nanofluid MHD flow with heat and mass transfers over a sheet by nonlinear boundary conditions: Heat and mass transfers enhancement

Cited by 22 publications

References 34 publications

MHD rotating flow of a Maxwell fluid with Arrhenius activation energy and non‐Fourier heat flux model

MHD rotating flow of a Maxwell fluid with Arrhenius activation energy and non‐Fourier heat flux model

An experimental study of forced convective heat transfer for fully developed Al₂O₃–water nanofluid in an annulus tube

Analysis of micro-motion of nanofluid particles based on machine vision

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A nanofluid MHD flow with heat and mass transfers over a sheet by nonlinear boundary conditions: Heat and mass transfers enhancement

Cited by 22 publications

References 34 publications

MHD rotating flow of a Maxwell fluid with Arrhenius activation energy and non‐Fourier heat flux model

MHD rotating flow of a Maxwell fluid with Arrhenius activation energy and non‐Fourier heat flux model

An experimental study of forced convective heat transfer for fully developed Al2O3–water nanofluid in an annulus tube

Analysis of micro-motion of nanofluid particles based on machine vision

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An experimental study of forced convective heat transfer for fully developed Al₂O₃–water nanofluid in an annulus tube