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In this research, general performance of Radial basis function (RBF) Artificial neural networks in experimental data on effect of the NiO, WO3, TiO2,ZnO and Fe2O3 nanoparticles in different temperatures and mass fractions on the viscosity of crude oil has been studied. The morphology and stability of the nanoparticles has been analyzed by DLS and TEM analysis, the results showed that the average diameter of the nanoparticles is from 10 to 30 nm which defers for different oxide nanoparticles. The general method for calculating the optimum span of the Isotropic Gaussian function with special algorithm for learning RBF networks, has been presented. This study's results declared that the RBF artificial neural networks, because of having strong academic basis and having the ability to filter the noises, has a good performance. With increase in temperature, the ratio of the viscosity of the nanofluids decreases compering to the viscosity of the basefluid. Also with increase in nanoparticles mass fraction the related viscosity increases boldly. For temperatures higher than 50°C, the related viscosity is less than the viscosity of the basefluid.

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Abstract- In the present paper, three different samples of alumina used as nanoparticles in the ethylene glycol suspension of alumina with volumetric concentration in the range . These samples have different surface properties, shape and size. The use of Al2O3/EG nanofluids as coolants in a double-tube heat exchanger has been studied under laminar flow conditions. The hot solvent inlet heat exchanger must be cooled down with a specified amount. At first, heat transfer relations between hot solvent and nanofluids as coolants have been investigated theoretically. Subsequently, heat transfer area and flow rate of coolant are optimized by using the nanofluids. In the present paper, heat transfer coefficient, overall heat transfer coefficient, friction factor, pressure drop and pumping power for Al2O3/EG nanofluids calculated.

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In this paper, the natural convection of water-Al2O3 nanofluid in a square enclosure exposed to a magnetic field is numerically investigated. The enclosure is bounded by two isothermal vertical walls at different temperaturesof Th and Tc.The two horizontals walls of the enclosure are thermally insulated. A vertical plate (membrane separator) with a negligible thickness and a variable height is located in the middle of the chamber. Discretization of the governing equations are achived through a finit method and are solved using the SIMPLE algorithm. Based on the results of the numerical solution, the effects of the relevant parameters such as the dimensionless height of the membrane separator, Rayleigh number, the solid volume fraction and the Hartmann number on the flow field and the heat transfer rate are investigated. The results show that the heat transfer rate decreases with an increase of the dimensionless height of the membrane separator and an increase of the Hartmann number. The heat transfer rate, however, increases as the Rayleigh number increases. Depending on the Rayleigh number, the thermal performance of the enclosure is either improved or deteriorated as the solid volume fraction is increased.

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Heat transfer of Alumina/water nanofluids in a uniform-temperature porous pipe has been investigated in a wide range of Reynolds number, i.e. 700<Re<5000. Investigation of force convective heat transfer of nanofluids in a porous pipe with uniform wall temperature has not been considered completely in the literature. In this experimental study, Alumina nanofluids with different volume fractions have been completely employed. By measuring the nanofluid temperatures, the Nusslet numbers have been reported as a function of the Reynolds number. Also, the pressure drop of nanofluids inside the porous pipe has been measured. The accuracy of the experimental results has been also validated by the presented theoretical formulas in the literature. The result shows a considerable increase in the Nusslet number by using nanofluids instead of water. Convective heat transfer of a porous pipe has been also studied as a novel method to increase the heat transfer rate. The related results show a significant increase in the heat transfer in the presence of porous medium. Both heat transfer and pressure drop of nanofluids in the porous pipe have been also reported and discussed.

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In the present paper, mixed convection of TiO2-water nanofluid in a laminar flow within a vertical rectangular duct is investigated numerically. A single phase and a two phase method is applied to simulate nanoparticles dispersion in the base fluid. An Euler-Lagrange approach is employed to track particles individually. In this approach, the base fluid is assumed to be a continuous phase while the particles are dispersed through it. The presence of particles in the base fluid is modeled as a source term in the momentum and energy equations. Governing equations is discretized using Control Volume based Finite Element Method (CVFEM). Effects of nanoparticles concentration, particles size, aspect ratio of cross section, asymmetrical boundary condition and buoyancy on the hydrodynamics and thermal parameters are presented and discussed. It is observed that increasing nanoparticles concentration enhances heat transfer rate and this enhancement is more considerable in higher aspect ratios. Also, at smaller values of Richardson number (Ri) where the effect of forced convection is more than natural convection, dispersion of nanoparticles in the base fluid improves heat transfer rate more considerably. Whilst an improvement in convective heat transfer is shown to be more than 6.5% at Ri=0.05, it does not exceed 4% at Ri=0.5.

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Awareness of the thermal conductivity of nanofluids regard to a significant development for use in research,it is necessary with regard to the inability of the analytical and experimental models that presented in most cases, it experimentally thermal conductivity can be measured. In this paper, the design and performance of thermal conductivity of fluids and nanofluidics measurement device without using a Wheatstone bridge is tested. Wheatstone bridge short transient hot wire method has previously been used for construction that requiring complex electronic systems and high power consumption. In this paper, a new method is provided so that no current or voltage is kept constant, but the method of measuring the relative resistance of the copper-clad lacquered with a diameter of 40 microns was used probe is easy to is within reach. The difference between the results of the design references, 1.17% is obtained. In this regard, changes in the magnetic fluid thermal conductivity is studied experimentally. Magnetic fluids are a new class of nanofluids are affected by magnetic fields and their properties can be changed. Fe3O4 magnetic water-based tests for different volume percentages.

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In this paper, natural convective heat transfer of nanofluids in a uniform magnetic field between the square cavity and inner cylinder, was simulated via Lattice Boltzmann Method. The inner cylinder in square shape, diamond, and circular has been examined. Square cavity walls and inner cylinder surfaces are at a constant cold and warm temperature, respectively. The flow, temperature, and magnetic field is calculated with solving flow, temperature, and magnetic distribution functions simultaneously. D2Q9 lattice arrangement for each distribution function is used. The results clearly show the behavior of fluid flow and heat transfer between the cavity and the cylinder. The results have been validated with available valid results showing relatively good agreement. The effects of Rayleigh number, Hartmann number, void fraction and type of nanoparticles on natural convective heat transfer are investigated. This study shows that for all three geometries used with the same void fraction, type of nanofluid, and Rayleigh number, natural convective heat transfer decreases with Hartmann number. Also, when Hartmann number was had fixed, natural convective heat transferwas increased with Rayleigh number. Thus, to select the right geometry for optimum natural convective heat transfer, our needs to pay special attention to Hartmann and Rayleigh numbers. In addition, viod fraction and type of nanofulid can affect heat transfer directly.

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Transient heat transfer from a storage fluid around a central tube is experimentally investigated in a wide range of Reynolds number, i.e. 700

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Peristaltic phenomenon is widely used for biologically tissues such as the digestive and excretion of urine systems. Fingered and roller pumps, hoses and internal pumps, pumps for waste management in the nuclear industry are also working on the wavy walls rules. Hence, in this paper, the magnetic hydrodynamic flow of nanofluids inside a curved porous channel, with peristaltic walls and within the internal heat source has been studied. In the present study, the flow is incompressible and the governing equations, including flow, heat and mass transfer are obtained by using an assumption of long wavelength. For solving the equations, the central finite difference approximation algorithm and Keller-box method are utilized. Heat transfer is reduced due to the presence of a magnetic field. Also, increasing the power of the heat source and the Darcy number reduces the heat transfer. Increasing porosity in the environment increases the heat transfer. Increasing the power of the heat source is accompanied by a reduction in velocity in the central line of the channel in the corrugated mode.
In this paper, by using the numerical solution results, the effect of various parameters such as source term, Darcy number and porosity on the velocity, distribution of temperature, the function of the magnetic force, increase the pressure on the wavelength, Nusselt number and also the flow trapping phenomenon has been studied.

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