Analysis of hydromagnetically modulated multiple slips motion of hybrid-nanofluid through a converging/diverging moving channel

2021 ◽  
pp. 095440892110623
Author(s):  
S. Ahmad ◽  
Samreen Sheriff ◽  
Aisha Anjum ◽  
M. Farooq
Keyword(s):  
Slip Flow ◽  
Hybrid Nanofluid ◽  
Engineering Systems ◽  
Mathematical Expressions ◽  
Inertia Parameter ◽  
Flow Features ◽  
Diverging Channel ◽  
Divergent Channel ◽  
Effects Of Temperature ◽  
Multiple Slips

The utility of convergent/divergent channel driven flow to improve the effectiveness of heat transport rate in industrial and engineering systems is diverse. This motivates us to disclose hybrid nanofluid flow features through non-parallel walls under hydro-magnetic aspect. The modified Darcian (Darcy–Forchheimer) expression is utilized for formulation. Reflection of improved Darcian form modifies the expression of velocity via square of velocity term. The effects of temperature jump and viscous dissipation are implemented in energy expression. Additionally, the slip flow phenomenon under the stretching/shrinking characteristics is studied. The analysis is carried out under the theory of boundary layer. Significant variables are implemented to acquire the dimensionless mathematical expressions. Dimensionless problem is tackled through a well-known homotopy technique. To observe the upshots of numerous pertinent parameters upon non-dimensional profiles of velocity and temperature, the graphs are plotted for both convergent/divergent channels. The heat transfer rate as well as drag force is also analyzed. In this study, it is concluded that temperature field rises in both divergent/convergent channels for dominant thermal slip parameter. Moreover, inertia parameter effects are seen weaker in converging channel for the velocity profile, while opposite trend is observed for diverging channel.

scholarly journals Finite Element Modelling of MHD Stefan Blowing Convective Ag-MgO/Water Hybrid Nanofluid induced by Stretching Cylinder utilizing Non-Fourier/Ficks Model

2021 ◽  
Author(s):  
Puneet Rana ◽  
Vinita Makkar ◽  
Gaurav Gupta
Keyword(s):  
Finite Element ◽  
Hybrid Nanoparticles ◽  
Physical Parameters ◽  
Hybrid Nanofluid ◽  
Gyrotactic Microorganisms ◽  
Galerkin Finite Element ◽  
Buongiorno’S Model ◽  
Similarity Transformations ◽  
Independent Test ◽  
Multiple Slips

Abstract The objective of the current analysis is to implement the Cattaneo Christov heat (Non-Fourier’s) and mass flux (Non-Fick’s) concept in modified Buongiorno’s model for nanofluid magneto-transport phenomena over an extending cylinder in presence of gyrotactic microorganisms. The nanofluid comprises chemically reactive hybrid nanoparticles (Ag MgO Np’s) in the base fluid and Stefan blowing effect along with multiple slips is taken into account. The experimental correlations with their dependency on nanoparticle concentration are used for viscosity and thermal conductivity. The appropriate similarity transformations are applied to convert the PDE’s into non-linear ODE’s along with boundary conditions, prior to being evaluated computationally utilizing the Galerkin Finite Element Method (GFEM). The mesh independent test with different boundary layer thickness (ξ ∞) has been conducted by taking both linear and quadratic shape functions to achieve a optimal desired value. The numerical outcomes are in acceptable concurrence with those acquired from the literature. The results are calculated for realistic range of physical parameters. The warmth exhibitions are assessed through renowned Buongiorno’s model which effectively reflects the significant highlights of thermophoresis parameter(Nt = 0.001 to 0.05) and Brownian motion parameter (Nb = 0.001 to 0.05).

scholarly journals Investigating and Modeling the Factors Affecting Thermal Optimization and Dynamic Viscosity of Water Hybrid Nanofluid/Carbon Nanotubes via MOPSO using ANN

2020 ◽  
Vol 2 (3) ◽  
pp. 108-114
Author(s):  
Amin Moslemi Petrudi ◽  
Ionut Cristian Scurtu
Keyword(s):  
Thermal Conductivity ◽  
Carbon Nanotubes ◽  
Volume Fraction ◽  
Optimization Process ◽  
Hybrid Nanofluid ◽  
Engineering Systems ◽  
Factors Affecting ◽  
Multi Objective ◽  
Ann Modeling ◽  
Artificial Neural Network Ann

Optimization is to find the best answer among existing situations. Optimization is used in the design and maintenance of many engineering systems to minimize costs or maximize profits. Due to the widespread use of optimization in engineering, this topic has grown a lot. In this paper, the optimization of multi-objective of Water Hybrid Nanofluid/Carbon Nanotubes is investigated. Multi-Objective Particle Swarm Optimization (MOPSO) algorithm has been used in order to maximize thermal conductivity and minimum viscosity by changing the temperature (300 to 340 ºk) and the volume fraction (0.01 to 0.4%) of nanofluid. Artificial Neural Network (ANN) modeling of experimental data has been used to obtain the values. Parto fronts, the optimal points and different values are 20 members and 15 iterations, and in order to compare the results optimization process on the first, fifth, tenth fronts, a relation has been proposed to predict the viscosity and Parto fronts in the optimization process. The aim of the study was to optimize nanofluid to reduce viscosity and increase thermal conductivity.

scholarly journals Heat transfer augmentation in water-based TiO_2 nanoparticles through a converging/diverging channel by considering Darcy-Forchheimer porosity

2019 ◽  
Vol 65 (4 Jul-Aug) ◽  
pp. 373 ◽  
Author(s):  
K. Ganesh Kumar ◽  
S.A. Shehzad ◽  
T. Ambreen ◽  
And M.I. Anwar
Keyword(s):  
Heat Transfer ◽  
Flow Parameter ◽  
Surface Drag ◽  
Transfer Rates ◽  
Heat Transfer Augmentation ◽  
Temperature Distributions ◽  
Diverging Channel ◽  
Divergent Channel ◽  
The Impact ◽  
Parameter Influence

This article executes MHD heat transport augmentation in aqueous based  nanoparticles fluid flow over convergent/divergent channel. Joule heating, magnetic field and Darcy-Forchheimer effects are explained for concentration and temperature distributions. Darcy-Forchheimer theory is utilized to explore the impact of porous medium. The system of partial differential expressions is transformed into ordinary ones and evaluated numerically by implementing RKF-45 scheme. Expressions for velocity and temperature profile are derived and plotted under the assumption of flow parameter. Influence of various parameters on heat transfer rates and surface drag force are discussed with the help of table and plots.

Entropy generation analysis of hybrid nanofluid in a microchannel with slip flow, convective boundary and nonlinear heat flux

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
S. Sindhu ◽  
B.J. Gireesha
Keyword(s):  
Base Fluid ◽  
Design Methodology ◽  
Flow Model ◽  
Slip Flow ◽  
Hybrid Nanofluid ◽  
Nanofluid Flow ◽  
Convective Boundary ◽  
Content Type ◽  
Thermal Features ◽  
Hybrid Mixtures

Purpose Thermal features of hybrid nanoliquid consist of Cu–Ti, CuO–TiO2 and C71500–Ti6Al4V/H2O as hybrid mixtures of nano-sized particles in a base fluid through a microchannel are inspected. In this study, flow model of Darcy–Forchheimer is hired to examine the flow of hybrid composition. Design/methodology/approach The equations which delineate the physical occurrence of the flow are resolved via Runge–Kutta–Fehlberg scheme united through shooting procedure. Findings It is established that flow velocity of hybrid nano composition satisfies the identity U_(CuO-TiO2/water)>U_(Cu–Ti/water)>U_(C71500–Ti6Al4V/water). Originality/value Hybrid nanofluid flow of Cu–Ti, CuO–TiO2 and C71500–Ti6Al4V/H2O hybrid mixtures in a base fluid through a microchannel are inspected.

Comparative analysis of (Zinc ferrite, Nickel Zinc ferrite) hybrid nanofluids slip flow with entropy generation

2021 ◽  
pp. 2150342
Author(s):  
P.-Y. Xiong ◽  
M. Ijaz Khan ◽  
R. J. Punith Gowda ◽  
R. Naveen Kumar ◽  
B. C. Prasannakumara ◽  
...  
Keyword(s):  
Entropy Generation ◽  
Zinc Ferrite ◽  
Slip Flow ◽  
Engine Oil ◽  
Hybrid Nanofluid ◽  
Bejan Number ◽  
Nonlinear Thermal Radiation ◽  
Lower Velocity ◽  
Nickel Zinc ◽  
Hybrid Nanofluids

This investigation is about hybrid nanofluid flowing over a sheet. We considered two-dimensional Darcy–Forchheimer flow of different hybrid nanofluids with the influence of uniform heat source sink and nonlinear thermal radiation. Different nanoparticles can be used to improve the thermal conductivity of a liquid. A study comparing the various hybrid nanofluids to nanofluid is considered. Here, we have selected manganese Zinc ferrite and Nickel Zinc ferrite as nanoparticles with kerosene oil and engine oil as carrier liquids. Suitable similarity transformations are used to construct the required ordinary differential equations. The influence of several non-dimensional parameters on velocity and thermal gradients is analyzed through graphs. Also, entropy generation is computed and analyzed through graph for different involved parameters. Here, we observed that [Formula: see text]–[Formula: see text]–[Formula: see text]–[Formula: see text] had lower velocity when compared to other two solutions. The entropy generation and Bejan number are high in [Formula: see text]–[Formula: see text]–[Formula: see text] when compared to [Formula: see text]–[Formula: see text]–[Formula: see text]–[Formula: see text] and [Formula: see text]–[Formula: see text]–[Formula: see text] and increase in heat generation parameter increases the rate of heat transfer.

scholarly journals A least square study on flow and radiative heat transfer of hybrid nanofluid over a moving frame by considering a spherical shape particle

2020 ◽  
Vol 66 (2 Mar-Apr) ◽  
pp. 162 ◽  
Author(s):  
Sabir Ali Shehzad
Keyword(s):  
Heat Transfer ◽  
Solar Radiation ◽  
Radiative Heat ◽  
Spherical Shape ◽  
Least Square ◽  
Moving Frame ◽  
Hybrid Nanofluid ◽  
Self Similarity ◽  
Physical Constraints ◽  
Flow Features

The scenario of this attempt is to elucidate the nature of hydrodynamic hybrid nanofluid over a moving frame. Solar radiation and the spherical shape particle are implemented. The implication of suitable transformation corresponds to self-similarity equations. Least square and RKF 45th-order techniques are employed to evaluate these non-dimensional equations. For better understanding of the problem, energy and flow features are demonstrated for distinct physical constraints. It is recognized that the transfer of fluid heat is pronounced for enhancing  but dismisses in rising values of . The larger   generates more heat in liquid that results in improvement of temperature.

Slip flow of hybrid nanofluid in presence of solar radiation

2021 ◽  
pp. 2250017
Author(s):  
Kalidas Das ◽  
Nilangshu Acharya ◽  
Md Tausif SK ◽  
Pinaki Ranjan Duari ◽  
Tanmoy Chakraborty
Keyword(s):  
Nusselt Number ◽  
Differential Equations ◽  
Slip Flow ◽  
Velocity Slip ◽  
Uniform Heat Flux ◽  
Hybrid Nanofluid ◽  
Nanofluid Flow ◽  
Fifth Order ◽  
The Impact ◽  
Final System

A theoretical model on MHD hybrid nanofluid flow in accordance with non-uniform heat flux and solar energy radiation has been studied in our work. Also, the impact of multiple slip conditions is presumed at the boundary. Comparative flow analyses for hybrid nanofluid (Al2O3/Cu–H2O) and single nanoparticle-based nanofluid (Cu–H2O) are addressed here with graphs and charts. The leading partial differential equations with boundary conditions have been converted into ordinary differential equations with the aid of similarity transformation. The final system is tackled via the fifth-order Runge–Kutta–Felberg method with shooting procedure and the computation is done using Maple 17. One of the interesting results shows that with the growth of thermal radiation, the Nusselt number for Cu–H2O is reduced by 26.16%, whereas for the same, Nusselt number for Al2O3/Cu–H2O is lessened by 27.38%. Fallout shows that with the growing values of velocity slip parameter, the thermal boundary layer thickness enlarges faster for Al2O3/Cu–H2O in comparison to Cu–H2O.

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