Effect of nano-particles on forced convection in sinusoidal-wall channel

Heidary, H.; Kermani, M.J.

doi:10.1016/j.icheatmasstransfer.2010.08.018

Cited by 155 publications

(54 citation statements)

References 19 publications

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“…The thermo physical properties (density and heat capacity) of the Nano-fluid, have been calculated from Nano-particle and the base fluid properties with the Nano-fluid volume fraction as follows [Heidary and Kermani 2010].…”

Section: Governing Equationsmentioning

confidence: 99%

Chebyshev Approximation for Nanofluid flow of Non-Isothermal Channel Flow under Constant Heat Flux

Özalp¹,

Teymur²,

Yanıktepe³

et al. 2016

KSU J. Eng. Sci.

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This paper investigates the Nano-fluid for a non-isothermal channel flow under the effect of a constant pressure gradient acting along the channel axis. Two-dimensional, non-isothermal, steady flow of an incompressible fluid in a channel is taken into consideration. Upper and lower walls of the channel are kept at the same constant heat flux. To consider the effect of conductivity and viscosity, Maxwell and Brinkman's models are used respectively. The effects of volume fraction, pressure gradient and Reynolds numbers on velocity and temperature profiles are discussed for the Nano-fluid Alumina. Water is used as a base fluid. The comparisons of the flow characteristics, including the distributions of velocity, temperature and volumetric flow rate of aluminum oxide are also given in the paper. Shear stress distribution along the channel axis and pressure gradient for different volume fraction are presented as well. Discretization is performed using a Pseudospectral technique based on Chebyshev polynomial expansions. The resulting nonlinear, coupled boundary value problem is solved iteratively using Chebyshev pseudospectral method. Keywords: Nano-Fluid, Non isothermal channel flow, Pseudospectral technique Sabit Isı Akısı Altında İzotermal Olmayan Kanal Akışında Nanoakışlar İçin Chebyshev YaklaşımıÖZET: Bu çalışmada sabit basınç gradyanının etkisi altındaki nanoakışkanın izotermal olmayan kanaldaki akışı sayısal olarak incelenmiştir. Kanal akışının çözümünde akışın iki boyutlu, izotermal olmayan, sıkıştırılamaz, hidrodinamik ve ısıl olarak tam gelişmiş ve sürekli olduğu kabul edilmiştir. Kanal alt ve üst cidarlarına sabit ısı akısı sınır şartı uygulanmış olup alümina-su nanoakışkanın tek fazlı ve homojen olduğu varsayılmıştır. Momentum ve enerji denklemlerinde yer alan ısıl iletkenlik ve viskozite değerleri için hacimsel konsantrasyona bağlı olarak sırasıyla Maxwell ve Brinkman modelleri kullanılmıştır. Kanal içindeki alümina-su nanoakışkanın hacimsel konsantrasyon, basınç gradyanı ve Reynolds sayısının sıcaklık ve hız profiline etkisi incelenmiştir. Su temel akışkan olarak ele alınmıştır. Ayrıca kanal merkezi boyunca kayma gerilmesi dağılımı ve farklı hacimsel debilerdeki basınç gradyanı değişimi de incelenmiştir. Denklemlerin ayrıklaştırılması Chebyshev polinom açılımlarına dayanan Pseudospectral yöntemi kullanılarak yapılmış ve doğrusal olmayan sınır değer problemleri Chebyshev Pseudospectral yöntemi ile sayısal olarak çözülmüştür.

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Section: Governing Equationsmentioning

confidence: 99%

Chebyshev Approximation for Nanofluid flow of Non-Isothermal Channel Flow under Constant Heat Flux

Özalp¹,

Teymur²,

Yanıktepe³

et al. 2016

KSU J. Eng. Sci.

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“…Improvement in turbulent convective heat transfer using Al2O3-water nanofluid with two phase modeling through wavy channel was studied by Manavi et al [17]. The effect of nanoparticles on forced convection heat transfer improvement investigated numerically by Heidary and Kermani [18]. In this investigation Cu-water nanofluid with volume fraction up to 20% were employed as the base fluid through sinusoidal wavy wall.…”

Section: Introductionmentioning

confidence: 96%

Heat transfer enhancement and pumping power optimization using CuO-water nanofluid through rectangular corrugated pipe

Salehin

Ehsan

Islam

2017

AIP Conference Proceedings

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Abstract. Heat transfer enhancement by corrugation in fluid domain is a popular method. The rate of improvement is more when it is used highly thermal conductive fluid as heating or cooling medium. In this present study, heat transfer augmentation was investigated numerically by implementing corrugation in the fluid domain and nanofluid as the base fluid in the turbulent forced convection regime. Finite volume method (FVM) was applied to solve the continuity, momentum and energy equations. All the numerical simulations were considered for single phase flow. A rectangle corrugated pipe with 5000 W/m 2 constant heat flux subjected to the corrugated wall was considered as the fluid domain. In the range of Reynolds number 15000 to 40000, thermo-physical and hydrodynamic behavior was investigated by using CuO-water nanofluid from 1% to 5% volume fraction as the base fluid through the corrugated fluid domain. Corrugation justification was performed by changing the amplitude of the corrugation and the corrugation wave length for obtaining the increased heat transfer rate with minimum pumping power. For using CuO-water nanofluid, augmentation was also found more in the rectangle corrugated pipe both in heat transfer and pumping power requirement with the increase of Reynolds number and the volume fraction of nanofluid. For the increased pumping power, optimization of pumping power by using nanofluid was also performed for economic finding.Keywords: Heat transfer enhancement, Forced convection, Rectangular corrugation, Nanofluid, Pumping power.

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“…The optimal number of layers for the micro channel heat sink under a constant pumping power of 0.01 W to achieve the maximum heat removal was shown [4]. The heat transfer characteristics of wavy channels have been studied [5,6]. The heat transfer performance of the wavy micro channel was better than the straight one with the same cross-section, but increasing the heat transfer efficiency with a wavy micro channel will also increase the pump power relatively.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Micro Channel Heat Sink by Combing Genetic Algorithm with the Finite Element Method

2018

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Abstract:The design of a micro multi-channel heat sink to achieve the minimum thermal resistance is the purpose of this study. The numerical package is employed by using the genetic algorithm to process the heat dissipation optimization of the micro multi-channel heat sink (the genetic algorithm employs the numerical package). The variables of this optimal design include channel number, channel aspect ratio and the ratio of channel width to pitch, as well as considering the weight of this micro channel heat sink in the optimal design process. Therefore, this optimization is a multi-objective function design. The results show that the thermal resistance is decreased as 0.144 W/K, and the weight of this micro channel heat sink can be decreased, individually or simultaneously.

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Effect of nano-particles on forced convection in sinusoidal-wall channel

Cited by 155 publications

References 19 publications

Chebyshev Approximation for Nanofluid flow of Non-Isothermal Channel Flow under Constant Heat Flux

Chebyshev Approximation for Nanofluid flow of Non-Isothermal Channel Flow under Constant Heat Flux

Heat transfer enhancement and pumping power optimization using CuO-water nanofluid through rectangular corrugated pipe

Optimization of the Micro Channel Heat Sink by Combing Genetic Algorithm with the Finite Element Method

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