Analysis of Laminar Mixed Convection in an Inclined Square Lid-Driven Cavity With a Nanofluid by Using an Artificial Neural Network

Faridzadeh, Mohammad Reza; Toghraie, Davood; Niroomand, Amirhossein

doi:10.1615/heattransres.2014007068

Cited by 97 publications

(12 citation statements)

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“…The extension of this paper according our previous works (Akbari et al, 2015;Alipour et al, 2017;Semiromi and Azimian, 2012;Hemmat Esfe et al, 2015;Karimipour et al, 2015;Afrand et al, 2015;Zarringhalam et al, 2016;Toghraie and Azimian, 2009;Sajadifar et al, 2017;Nazari and Toghraie, 2017;Faridzadeh et al, 2014;Esfahani and Toghraie, 2017;Aghanajafi et al, 2017;Zadkhast et al,2017;Toghraie Semiromi and Azimian, 2010;Shareghi and Toghraie, 2016;Oveisi et al, 2013;Gravndyan et al, 2017;Heydari et al, 2017;Amin Mirkalantari et al, 2017;Tohidi and Toghraie, 2017) affords engineers a good option for micro and nano simulation.…”

Section: Discussionmentioning

confidence: 83%

Numerical investigation of nonlinear vibration analysis for triple-walled carbon nanotubes conveying viscous fluid

Mohamadi

Eftekhari

Toghraie

2019

HFF

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Purpose The purpose of this paper is to investigate nonlinear vibrations of triple-walled carbon nanotubes buried within Pasternak foundation carrying viscous fluids. Design/methodology/approach Considering the geometry of nanotubes, the governing equations were initially derived using Timoshenko and modified couple stress theories and by taking into account Von-Karman expressions. Then, by determining boundary conditions, type of fluid motion, Knudsen number and, ultimately, fluid viscosity, the principal equation was solved using differential quadrature method, and linear and nonlinear nanotube frequencies were calculated. Findings The results indicated that natural frequency is decreased as the fluid velocity and aspect ratio increase. Moreover, as the aspect ratio is increased, the results converge for simple and fixed support boundary conditions, and the ratio of nonlinear to linear frequencies approaches. Natural frequency of vibrations and critical velocity increase as Pasternak coefficient and characteristic length increase. As indicated by the results, by assuming a non-uniform velocity for the fluid and a slip boundary condition at Kn = 0.05, reductions of 10.714 and 28.714% were observed in the critical velocity, respectively. Moreover, the ratio of nonlinear to linear base frequencies decreases as the Winkler and Pasternak coefficients, maximum deflection of the first wall and characteristic length are increased in couple stress theory. Originality/value This paper is a numerical investigation of nonlinear vibration analysis for triple-walled carbon nanotubes conveying viscous fluid.

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Section: Discussionmentioning

confidence: 83%

Numerical investigation of nonlinear vibration analysis for triple-walled carbon nanotubes conveying viscous fluid

Mohamadi

Eftekhari

Toghraie

2019

HFF

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“…The extension of this paper for nanofluid according previous studies (Akbari et al , 2017; Alipour et al , 2017; Toghraie, 2016; Oveissi et al , 2016; Faridzadeh et al , 2014; Afrand et al , 2017; Aghanajafi et al , 2017; Sajadifar et al , 2017; Nazari and Toghraie, 2017; Esfahani and Toghraie, 2017; Zadkhast et al , 2017; Shareghi and Toghraie, 2016; Pourfattah et al , 2017; Akbari et al , 2016; Karimipour et al , 2016; Alipour et al , 2016; Akbari et al , 2016; Shamsi et al , 2017; Heydari et al , 2017; Gravndyan et al , 2017; Rahmati et al , 2018; Parsaiemehr et al , 2018; Mashayekhi et al , 2017; Gholami et al , 2017; Arabpour et al , 2018; Toghraie et al , 2018; Sarlak et al , 2017; Hosseinnezhad et al , 2018; Alrashed et al , 2018) affords engineers a good option for nano- and micro-scale simulations.…”

Section: Discussionmentioning

confidence: 89%

Effect of MHD on the flow and heat transfer characteristics of nanofluid in a grooved channel with internal heat generation

Dehghani

Toghraie

Mehmandoust

2018

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Purpose The purpose of this study is numerical simulation of magnetohydrodynamics (MHD) water–Al2O3 nanofluid mixed convection in a grooved channel with internal heat generation in solid cylinders. Simulations were carried out at Reynolds numbers 50 ≤ Re ≤ 100, Hartmann numbers 0 ≤ Ha ≤ 15, Grashof numbers 5,000 ≤ Gr ≤ 10−4 and volume fraction 0 ≤ φ ≤ 0.04. The effect of Reynolds number and the influence of magnetic field and pressure drop on convective heat transfer coefficient were studied in different volume fractions of nanoparticles at different Reynolds numbers. Design/methodology/approach The results show that average Nusselt number increases by increasing Reynolds and Hartman numbers. Also, when Hartman number increases, velocity profile becomes asymmetric. Pressure distribution shows that magnetic field applies Lorentz force at opposite direction of the flow, which causes asymmetric distribution of pressure. As a result, pressure in the upper half of the cylinder is higher than the lower half. Finally, velocity and temperature contours along the channel for different Hartmann numbers, volume fraction 3 per cent, Re = 50 and 100 and Gr = 10,000, are presented. Findings The effect of Reynolds number and the influence of magnetic field and pressure drop on convective heat transfer coefficient were studied in different volume fractions of nanoparticles at different Reynolds numbers. Originality/value Effect of MHD on the flow and heat transfer characteristics of Water–Al2O3 nanofluid in a grooved channel with internal heat generation in solid cylinders.

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“…Furthermore, Alsabery et al [23] studied the free convection flow in a trapezoidal cavity one part filled with Newtonian nanofluid and the other part filled with non-Newtonian nanofluid by means of heat line simulation technique. Moreover, Faridzadeh et al [24] presented analysis of forced and free convection flow of nanofluid inside inclined square cavity using the method of artificial neural network. In addition, the researchers in references [25] , [26] , [27] , [28] computed the analysis of nanofluid inside different cavity enclosures such as square under different flow condition.…”

Section: Introductionmentioning

confidence: 99%

Finite element analysis of mixed convection flow in a trapezoidal cavity with non-uniform temperature

Ibrahim

Hirpho

2021

Heliyon

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Analysis of Laminar Mixed Convection in an Inclined Square Lid-Driven Cavity With a Nanofluid by Using an Artificial Neural Network

Cited by 97 publications

References 0 publications

Numerical investigation of nonlinear vibration analysis for triple-walled carbon nanotubes conveying viscous fluid

Numerical investigation of nonlinear vibration analysis for triple-walled carbon nanotubes conveying viscous fluid

Effect of MHD on the flow and heat transfer characteristics of nanofluid in a grooved channel with internal heat generation

Finite element analysis of mixed convection flow in a trapezoidal cavity with non-uniform temperature

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