improvement of heat transfer by nanofluid and magnetic...

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International Journal of Mechanical & Mechatronics Engineering IJMME-IJENS Vol:20 No:03 110 I J E N S 2020 IJENS June IJENS © - IJMME - 7171 - 202303 Improvement of Heat Transfer by Nanofluid and Magnetic Field at Constant Heat Flux on Tube Humam Kareem Jalghaf 1 *, Ali Habeeb Askar 1 *, Mahir Faris Abdullah 2 * *Corresponding author: [email protected] 1 *, [email protected] 1 , [email protected] 1 Department of Mechanical Engineering, University of Technology, Baghdad-Iraq 2 Department of Refrigeration and Air Conditioning Engineering, Al-Rafidain University College. Iraq. Abstract-- This paper experimentally probes the impacts of using nanoparticles with and without the use of a magnetic field throughout flow behaviour characteristics and the heat transfer rate on forced convection heat transfer of Fe3O4water nanofluid with laminar flow regime in a horizontal tube under constant heat flux conditions. The base working fluid is distilled water, and the added nanoparticles are Iron Oxide (Fe3O4), with a volume fraction of (φ = 0. 3, 0.6 and 0.9%). The intensity of supplied magnetic field is (0.1Tesla). The experiments are conducted at different constant heat fluxes (12.7, 15.9, 19.8 kw/m 2 ), two different inlet temperatures (23, 45 o C), four different flow rates (2, 3, 3.5, 4, l/min) and a wide range of Reynolds numbers (3930-7860). It was derived from the experiment that an increase in the concentration of nanofluids and in the heat flux, resulted in an increase in Nusselt number. Furthermore, it was found that the use of magnetic intensity enhances the heat transfer even further. The maximum enhancement in Nusselt number is about 18.3% without using a magnetic field, whereas it becomes approximately 20.1% when supplied with a magnetic field at a nanofluid concentration of (φ = 0.9%) and lower heat flux. It is proven that as the inlet temperature increases, the heat transfer decreases. Index Term-- magnetic nanofluids, heat flux, heat transfer, Fe3O4, Ferro fluid. NOMENCLATURE As Cross-sectional area (m 2 ) B Magnetic field (Tesla) Subscripts Q Heat transfer rate (W) q Heat flux (W/m 2 ) CCl4 Carbon tetrachloride C Specific heat (J/kg.K) Re Reynolds number (-) H heat Nu Nusselt number (-) t time (sec) f fluid f Friction factor T Temperature (K) (i,o,s) in , out ,surface h Heat transfer coefficient (W/m 2 .K) Volume fraction of nanofluid w water f Friction factor ρ Mass density (kg/m 3 ) nf Nanofluid Length of the test section (m) V Voltage (volts) x Distance k Thermal conductivity (W/m.K) γ Specific weight pf Particle fluid ΔP Pressure drop across the tube u Velocity (m/s) v vessel (aluminum vessel) I Electric Current (A) r Radius of pipe (m) f fluid D Diameter (m) Volume fraction of nanofluid P Particle 1. INTRODUCTION Over the years, many researchers faced setbacks in addressing issues related to heat transfer in engineering systems. To overcome the problems, a limited number of methods were employed. In one such approach, heat transfer could be refined by improving the efficiency of industrial and engineering applications [15]. Studies indicated that nanofluids were a feasible coolant that upgraded many engineering devices' performance efficiency [6]. Magnetic fluid, also called ferrofluid, is a magnetic colloidal suspension consisting of magnetic nanoparticles such as iron, nickel, cobalt and their base fluid oxides, and so on. This magnetic fluid behaves as an intelligent and functional fluid due to its special properties. As a result, it finds its niche in different fields such as electronic packaging and mechanical packaging [7-10]. Nanofluid is a suspension of nanoparticles such as Fe3O4- in distilled water. The thermal conductivity of most solids is greater as compared to conventional heat transfer fluids. Different techniques and methods to reduce the temperature of surfaces with a high heat transfer rate have been proposed, all of which enhances the heat transfer rate. The basis of these techniques comprises of the application of an electrical or a magnetic field, vibration of a heated surface, structure variation or injection as well as suction

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  • International Journal of Mechanical & Mechatronics Engineering IJMME-IJENS Vol:20 No:03 110

    I J E N S 2020 IJENS JuneIJENS © -IJMME-7171-202303

    Improvement of Heat Transfer by Nanofluid and

    Magnetic Field at Constant Heat Flux on Tube

    Humam Kareem Jalghaf1*, Ali Habeeb Askar1*, Mahir Faris Abdullah2*

    *Corresponding author: [email protected]*, [email protected], [email protected] 1Department of Mechanical Engineering, University of Technology, Baghdad-Iraq

    2Department of Refrigeration and Air Conditioning Engineering, Al-Rafidain University College. Iraq.

    Abstract-- This paper experimentally probes the impacts of

    using nanoparticles with and without the use of a magnetic field

    throughout flow behaviour characteristics and the heat

    transfer rate on forced convection heat transfer of Fe3O4–

    water nanofluid with laminar flow regime in a horizontal tube

    under constant heat flux conditions. The base working fluid is

    distilled water, and the added nanoparticles are Iron Oxide

    (Fe3O4), with a volume fraction of (φ = 0. 3, 0.6 and 0.9%). The

    intensity of supplied magnetic field is (0.1Tesla). The

    experiments are conducted at different constant heat fluxes

    (12.7, 15.9, 19.8 kw/m2), two different inlet temperatures (23, 45

    o C), four different flow rates (2, 3, 3.5, 4, l/min) and a wide

    range of Reynolds numbers (3930-7860). It was derived from

    the experiment that an increase in the concentration of

    nanofluids and in the heat flux, resulted in an increase in

    Nusselt number. Furthermore, it was found that the use of

    magnetic intensity enhances the heat transfer even further. The

    maximum enhancement in Nusselt number is about 18.3%

    without using a magnetic field, whereas it becomes

    approximately 20.1% when supplied with a magnetic field at a

    nanofluid concentration of (φ = 0.9%) and lower heat flux. It is

    proven that as the inlet temperature increases, the heat transfer

    decreases.

    Index Term-- magnetic nanofluids, heat flux, heat transfer,

    Fe3O4, Ferro fluid.

    NOMENCLATURE

    As Cross-sectional area (m2) B Magnetic field (Tesla) Subscripts

    Q Heat transfer rate (W) q Heat flux (W/m2) CCl4 Carbon tetrachloride

    C Specific heat (J/kg.K) Re Reynolds number (-) H heat

    Nu Nusselt number (-) t time (sec) f fluid

    f Friction factor T Temperature (K) (i,o,s) in , out ,surface

    h Heat transfer coefficient (W/m2.K) Volume fraction of nanofluid w water

    f Friction factor ρ Mass density (kg/m3) nf Nanofluid

    𝑙 Length of the test section (m) V Voltage (volts) x Distance

    k Thermal conductivity (W/m.K) γ Specific weight pf Particle fluid

    ΔP Pressure drop across the tube u Velocity (m/s) v vessel (aluminum vessel)

    I Electric Current (A) r Radius of pipe (m) f fluid

    D Diameter (m) Volume fraction of nanofluid P Particle

    1. INTRODUCTION

    Over the years, many researchers faced setbacks in

    addressing issues related to heat transfer in engineering

    systems. To overcome the problems, a limited number of

    methods were employed. In one such approach, heat

    transfer could be refined by improving the efficiency of

    industrial and engineering applications [1–5]. Studies

    indicated that nanofluids were a feasible coolant that

    upgraded many engineering devices' performance

    efficiency [6].

    Magnetic fluid, also called ferrofluid, is a magnetic

    colloidal suspension consisting of magnetic nanoparticles

    such as iron, nickel, cobalt and their base fluid oxides, and

    so on. This magnetic fluid behaves as an intelligent and

    functional fluid due to its special properties. As a result, it

    finds its niche in different fields such as electronic

    packaging and mechanical packaging [7-10].

    Nanofluid is a suspension of nanoparticles such as Fe3O4-

    in distilled water. The thermal conductivity of most solids

    is greater as compared to conventional heat transfer fluids.

    Different techniques and methods to reduce the

    temperature of surfaces with a high heat transfer rate have

    been proposed, all of which enhances the heat transfer rate.

    The basis of these techniques comprises of the application

    of an electrical or a magnetic field, vibration of a heated

    surface, structure variation or injection as well as suction

    mailto:[email protected]:[email protected]:[email protected]

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    of a fluid, as proposed by Razi and Saeedinia [11]. Al-

    dulaimy [12] conducted a study of Al2O3/water nanofluid

    in examining the laminar force convection with two

    different mass flow rates and heat fluxes of 150, 90,

    50W/cm2. An experimental study was undertaken by

    Saeedinia and Nasr [13] with the principal aim of analysing

    heat transfer rate in addition to the pressure drop of a

    laminar flow nanofluid, specifically known as CuO/Base

    oil, where this experiment was conducted with different

    insertions of coils in a tube under a known and constant

    heat flux. It was observed that, on an average, at the highest

    values of the Reynolds numbers within the tube inserted

    with wire coils, the heat transfer coefficient peaked at 45%,

    whereas the pressure drop diminished by 63%. Malvandi et

    al. [14] theoretically studied the migration of nanoparticles

    on a magneto-hydrodynamic heat transfer by convection

    for a nanofluid denoted as alumina/water, flowing through

    the inlet side of a microchannel placed vertically. The

    boundary condition was specified as a boundary subjected

    to varying heat fluxes, and the results demonstrated that

    nanoparticles accumulated in the core zone of the heated

    walls. Additionally, they tend to accumulate in a region

    near the wall close to the lower heat transfer rate.

    Furthermore, it was stated that the asymmetric distribution

    of the nanoparticles increases the heat transfer rate as

    nanoparticles causes velocities that produced movements

    headed to the wall, which has a higher thermal energy.

    Contrarily, Sheikholeslami et al. [15] conducted an

    experimental analysis of heat transfer by the means of

    forced convection in a lid-driven semi annulus enclosure

    filled with a nanofluid denoted as Fe3O4-water, with an

    asymmetric magnetic flux. The assumption made was that

    the fluid temperature increased linearly with the intensity

    of the magnetic flux as well as with the magnetisation of

    the fluid. The governing equations were solved by

    vorticity-stream, a finite element method based on the

    management of the volume. The equations were solved for

    certain parameters such as the Hartmann, Reynolds and

    volume fraction of the nanoparticle varieties. It was

    observed that the Reynolds number variety increased

    linearly with the volume fraction of the nanoparticle,

    however, it was on the contrary with the Hartmann variety.

    Moreover, Hatami et al. [16] experimentally investigated

    magnetic flux under forced convection heat transfer for a

    nanofluid, denoted as Fe3O4–water, with a laminar flow

    behaviour contained in a pipe placed horizontally and

    under constant heat fluxes. The heat transfer rate was

    measured by means of convection inside a pipe subjected

    to a heat flux, as previously mentioned, with a magnetic

    fluid flowing through it. It was observed that the

    dimensions of the Fe3O4 nanoparticles were approximately

    100 nm with different concentrations and are well

    distributed in the water. The results showed an external

    flux, Ha, between 33.4x10-4 and 136.6, and with a

    concentration of nanoparticles of 1%, 0.5%, 0.1% and 0%,

    which is conceded to study the characteristics of the heat

    transfers. Also, the results of this investigation indicated

    that the presence of a heat flux in the pipe increases the

    concentration of nanoparticles, which caused a decline in

    the heat transfer coefficient. The study was also conducted

    on heat transfer without an external flux, and it was

    observed that the addition of magnetic nanoparticles

    enhanced the convection heat transfer by 60 times.

    Moreover, it was noted that the Nusselt variety diminished

    with an increase in the Hartmann variety for a specified

    magnetic nanofluid concentration, and this reduced the heat

    transfer rate by 25 times. On the other hand, Karamallah et

    al. [17] conducted an experimental analysis on the distilled

    water flow and nanofluids, as well as in the heat transfer

    rate for concentrations of 0.9%, 0.6% and 0.3% in a pipe

    placed horizontally and subjected to a uniform magnetic

    field. The experimental analysis was conducted with a

    varying Reynolds number from 2900 to 9820, and using a

    uniform heat flux from 11262 W/m2 to 19562 W/m2. It was

    observed that the concentration of the nanofluid, the

    Nusselt Number as well as the intensity of the magnetic

    field rose. The maximum percentage increases of the

    Nusselt numbers with a magnetic nanofluid were 42.7%,

    26.4% and 5.4% for the volume concentrations of 0.9%,

    0.6% and 0.3% respectively. Conjointly, with a volume

    concentration of 0.9%, the enhancement of the intensity of

    the magnetic field was 0.1, 0.2 and 0.3 Tesla, with

    percentage increases of 43.9%, 44.3% and 46%

    respectively. The enhancement on the heat transfer rate

    decreased as the Reynolds number increased when the

    magnets were used. On the other hand, the friction factor

    raised its magnitude when the volume concentration

    increased, while the magnet intensity diminished with an

    increase of the Reynolds number. A similar study was

    conducted by Goharkhah et al. [18] in order to

    experimentally investigate the conduction heat transfer rate

    of a ferrofluid subjected to dynamic conditions. The

    experiment involves the analysis of heat transfer rate

    strength by means of conduction of the nanofluid known as

    Fe3O4/water ferrofluid moving through a pipe subjected to

    a uniform heat flux with several Reynolds number from

    400 to 800 and a volume fraction from 1% to 2%. The

    results demonstrated that the heat transfer rate by means of

    conduction increased when the concentration of the

    nanofluids were also increased. Moreover, it was revealed

    that a heat flux of zero enhances the conduction heat

    transfer rate with an increase in the Reynolds variety, while

    contrary behaviour was observed when the system was

    subjected to a heat flux. In comparison to the thermal

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    conduction in water, the higher heat transfer rate by means

    of conduction increased to 32.3% for a ferrofluid with 2

    Vol% of concentration at a variety Reynolds Number of

    400 and under a magnetic flux with a magnitude of 800 G.

    In this assignment, different heat fluxes were applied on the

    pipe to observe the effects of heat transfer enhancement by

    using different magnetic fields with magnetic oxide Fe3O4.

    2. Nanofluid Preparation and Properties

    Twenty minutes before each experiment is executed, the nanoparticles and purified water were incorporated directly

    with a mixer at (2400 rpm), with the volume fraction used in the experiments being (π = 0, 0.3, 0.6 and 0.9 percent by

    volume). The test rig was performed by using a water volume of 5 L. Equation (1) specifies the percentage relation for the

    determination of the volume concentration:

    𝜑 =𝑣𝑜𝑙𝑢𝑚𝑒 𝑜𝑓 𝑛𝑎𝑛𝑜𝑝𝑎𝑟𝑡𝑖𝑐𝑙𝑒

    𝑣𝑜𝑙𝑢𝑚𝑒 𝑜𝑓 𝑛𝑎𝑛𝑜𝑝𝑎𝑟𝑡𝑖𝑐𝑙𝑒 + 𝑣𝑜𝑙𝑢𝑚𝑒 𝑜𝑓 𝑤𝑎𝑡𝑒𝑟 × 100 (1)

    𝜑 =(𝑚 𝜌⁄ )𝑛𝑎𝑛𝑜𝑝𝑎𝑟𝑡𝑖𝑐𝑙𝑒

    (𝑚 𝜌⁄ )𝑛𝑎𝑛𝑜𝑝𝑎𝑟𝑡𝑖𝑐𝑙𝑒 + (𝑚

    𝜌⁄ )𝑤𝑎𝑡𝑒𝑟× 100 (2)

    The properties of nanoparticle and base fluid (viscosity, density and specific heat) are listed in Table (1) below.

    Table I

    material properties. [18].

    Substance

    Averagedi

    ameter

    (nm)

    Density

    (Kg/m3)

    Thermal

    conductivity

    (W/m.K)

    Specific

    heat

    (J/kg.K)

    viscosity

    (pa.s)

    Fe3O4 80 5180 80.4 670 -

    Water - 997 0.607 4180 0.000891

    The measurement of the density as well as the specific heat of a nanofluid can be evaluated by applying the mixture laws of

    convection shown in equations (3) and (4) [19]:

    𝐶𝑛𝑓 = (1 − 𝜑)𝐶𝑏𝑓 + 𝜑𝐶𝑛𝑝 (3)

    𝜌𝑛𝑓 = (1 − 𝜑)𝜌𝑏𝑓 + 𝜑𝜌𝑛𝑝 (4)

    Brickman [20] explained viscosity correlation as it applies to concentrated particle suspension:

    𝜇𝑛𝑓 = (𝜇𝑏𝑓

    (1 + 𝜑)2.5) (5)

    In order to determine the thermal conductivity, the Wasp model is taken into account [21]:

    𝐾𝑚 = 𝐾𝑓 [2 + 𝐾𝑝𝑓 + 2∅(𝐾𝑝𝑓 − 1)

    2 + 𝐾𝑝𝑓 − ∅(𝐾𝑝𝑓 − 1)] (6)

    Where:

    𝐾𝑝𝑓 =𝐾𝑝𝐾𝑓

    (7)

    3. Experimental Setup

    The experiment was executed with a tube of copper of

    (0.014, 0.0158 m) inner and outer diameters and (1.5 m)

    test section length, helical heat exchanger nanofluid tank,

    pumps, flow meters, thermos recorder, variac, electric

    board, magnets and fittings, as shown in Figure (1). The

    copper tube is heated uniformly by wrapping it with a

    Nichrome heater of 2000 watt. To achieve a uniformed heat

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    flux, the outer layer of the pipe was subjected to an

    electrical current using a coil. The electrical fibreglass

    insulator winds through the tube. To insulate the electrical

    heater, drilled ceramic bead elements were placed around

    the wire heater and then the wire heater is wound around

    the tube. Aluminium foil and sectional pipe insulation glass

    wool form were used to reduce heat despite of this.

    Temperature was gauged using eight thermocouples (k–

    type), which allowed determining the temperature in

    different test rig points. On the contrary, in order to

    measure temperature along the outer layer of the tube

    heated section, six thermocouples were used. The

    thermocouples were located along the test section with a

    distance of 22 cm between them. Two immersed

    thermocouples were used to measure the fluid temperatures

    at the inlet and outlet of the pipe. A stainless steel tank of

    (24 L) capacity was used to supply the pump with the

    required amount of working fluid. The spiral heat

    exchanger consisted of a copper tube coil with a diameter

    of 24 L. A coil was then placed in a stainless steel tank of

    125 L capacity filled with re-circulating water. To measure

    the pressure drop along the test section, a manometer U-

    Tube type with CCL4, Carbon Tetrachloride, was used.

    Magnets were used in this experimental work as illustrated

    in Table (2). It was determined by the researchers using a

    gauss meter [17].

    Table II

    strength of the magnet.

    Magnet type Number of

    magnet used

    Strength at center of

    pipe (20 mm). (Gauss)

    Strength of magnet at

    surface (Gauss)

    Ferrite 5 600 1000

    http://www.zhaobao-magnet.com/product/77.shtml?gclid=*

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    Fig. 1. Diagram of experimental apparatus.

    The experiment was conducted with distilled water, nanofluid: Iron Oxide (Fe3O4- distilled water) with the volume

    fraction (φ = 0. 3, 0.6 and 0.9 % by volume), magnetic field with each concentration with the intensity of (0.1Tesla),

    different constant heat fluxes (12.7, 15.9, 19.8 kw/m2), and different inlet temperatures (23, 45) o C. All of these tests were

    carried out under a turbulent flow at the entrance, with magnitudes of Reynolds Number from (3930 to 7860), heat fluxes

    of (12.7 to 19.8 kW/m2) and flow rates of (2, 3, 3.5 and 4 L/min).

    4. Data Reduction

    Equation (8) specifies the heat transfer rate produced by an electrical current, which is the heat flux applied to the outer

    layer of the tube:

    𝑃 = 𝑉 × 𝐼 (8)

    The heat transfer rate exchanged to the nanofluid from the heating wire can be determined by applying equation (9):

    𝑄𝑛𝑓 = �̇� × 𝐶𝑛𝑓 × (𝑇𝑜 − 𝑇𝑖) (9)

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    The balance between the heat input P and the nanofluid𝑄𝑛𝑓 can be computed by using equation (10), where common

    values are under 10%:

    𝜂 =𝑃 − 𝑄𝑛𝑓

    𝑃< 10 % (10)

    The heat flux is given by:

    �̇� =𝑄𝑛𝑓𝐴𝑠

    =𝑄𝑛𝑓

    𝜋𝐷𝑜𝐿 (11)

    The following steps indicate the processes to determine the local heat transfer coefficient:

    1. The following values are known: {�̇�, Tso(x)}.

    2. The temperature on the outer surface of the tube, Tsi(x), can be determined from the following equation [21]:

    �̇� =𝑄𝑛𝑓𝐴𝑠

    =2𝜋𝑘∆𝑥[𝑇𝑠𝑜(𝑥) − 𝑇𝑠𝑖(𝑥)]

    𝜋𝐷∆𝑥 × ln (𝑟𝑜

    𝑟𝑖)

    =2𝑘[𝑇𝑠𝑜(𝑥) − 𝑇𝑠𝑖(𝑥)]

    𝐷 × ln (𝑟𝑜

    𝑟𝑖)

    (12)

    3. The mean temperature of the bulk fluid, Tm(x) at section (x):

    𝑑𝑞 = 𝑞"𝑝𝑑𝑥 = �̇� 𝐶𝑛𝑓 𝑑𝑇𝑚 (13)

    Where 𝑝 = 𝜋𝐷𝑖 is the

    𝑑𝑇𝑚 =𝑞"𝜋𝐷𝑖�̇�𝐶𝑛𝑓

    𝑑𝑥 (14)

    The changes in the mean of the bulk fluid temperature in the function of position x is computed by an integration of

    equation (14). The limits of the integration are from 0 to x, and this yields to:

    𝑇𝑚(𝑥) = 𝑇𝑖 +(𝑇𝑜 − 𝑇𝑖)

    𝐿 𝑥 (15)

    Hence, the local heat transfer coefficient is computed from equation (16):

    ℎ(𝑥) =�̇�

    𝑇𝑠𝑖(𝑥) − 𝑇𝑚(𝑥) (16)

    The local Nusselt Number is given by [2]:

    𝑁𝑢(𝑥) =ℎ𝑥𝐷

    𝑘𝑛𝑓 (17)

    Equation (18) can be used to determine the mean Nusselt Number for the thermal developing zone:

    𝑁𝑢 =1

    𝐿∫ 𝑁𝑢 (𝑥)

    𝐿

    0

    𝑑𝑥 (18)

    Based on the empirical correlation of Gnielinski’s [22] as shown in equation (19), the experimental magnitudes of the

    Nusselt Number were compared [23].

    𝑁𝑢 =(

    𝑓

    2) (𝑅𝑒 − 1000)𝑃𝑟

    1 + 12.7 (𝑓

    2)

    0.5(𝑃𝑟

    3

    2 − 1) (19)

    And represented in Figure (2)

    Where

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    𝑓 = (1.58𝑙𝑛𝑅𝑒 − 3.82)−2 𝑓𝑜𝑟 2300 < 𝑅𝑒 < 5 × 106,0.5 < 𝑃𝑟 < 2000

    Experimental Friction Factor

    The Darcy Friction Factor can be determined by using equation (20), which is based on the pressure drop [24].

    𝑓 =2 × ∆𝑝 × 𝐷

    𝐿 × 𝜌 × 𝑢2 (20)

    Where:

    ∆𝑃 = 𝛾𝑛𝑓 (𝜌𝐶𝐶𝑙4𝜌𝑛𝑓

    − 1) × 𝐻 (21)

    This is the pressure drop across the test section. The comparison of the present work with Gnielinski’s and Blasius

    equation (𝑓 = 0.316𝑅𝑒−0.25) for distilled water, to validate the rig performance, show positive concordance.

    5. Results and Discussion

    The Nusselt Number variation with the Reynolds Number at different uniform heat fluxes and (a, b, c), using a volume

    concentration of 0.3%, 0.6% and 0.9%, respectively, and shown in Figures (2) without magnetic and Figures (3) with

    magnetic field with the strength of (0.1Tesla), the increase in heat flux, volume concentration, Reynolds number, and

    magnetic field due to the increase in Nusselt number and enhanced heat transfer.

    (a)

    (a)

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    (b)

    (b)

    (c)

    (c)

    Fig. 2. The impact of Reynolds number on average Nusselt number

    with different constant heat flux and without magnets. Fig. 3. The impact of Reynolds number on average Nusselt number

    with different constant heat flux and with magnets.

    The average Nusselt number increases with a surge in the concentration of ferrofluid and magnetic strength for each

    concentration, and decreases with an increase in the number of Reynolds since the effective thermal conductivity of

    nanofluid decreases with an increase in the volume fraction of nanoparticles as shown in Figures (4) and (5). The effect of heat flux (nanoparticles migration from the surface with heat flux increase) with the magnetic field is due to the fact that

    the viscous sub-layer is very small (at the entrance region), and the particles accumulate on the surface increasing in

    fraction, both of these reasons due to the increase in heat transfer [16].

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    (a)

    (a)

    (b)

    (b)

    (c)

    (c)

    Fig. 4. The impact of Reynolds number on Nusselt number with

    different constant heat flux, volume concentration and without

    magnets.

    Fig. 5. The impact of Reynolds number on Nusselt number with

    different constant heat flux, volume concentration and with

    magnets.

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    The effect of inlet temperature on heat transfer is discerned when the temperature increases, the heat transfer decreases as

    shown in Figure (6) and the friction factor decreases when temperature increases as shown in Figure (7). The pressure drop

    is increased with the increase of Reynolds number, ferrofluid concentration and the magnetic field intensity. It was

    acknowledged that the friction factor heightens in magnitude when the volume concentration and the intensity of the magnet

    increased, and the friction factor diminishes in magnitude when the Reynolds number decreased, as illustrated in Figure

    (8).

    Fig. 6. the impact of Reynold on Nusselt number with different

    inlet temperature and Volume concentration =0.9% and constant

    heat flux =19.8Kw.m2.

    Fig. 7. the impact of Reynold on friction factor with different inlet

    temperature and Volume concentration =0.9% and constant heat

    flux =19.8Kw.m2.

    Fig. 8. The impact of Reynolds number on friction factor without

    magnets at different constant heat flux. Fig. 9. The impact of Reynolds number on friction factor with

    magnets at different constant heat flux.

    The increase in the Nusselt Number of the magnetic nanofluid with respect to the water reaching maximum value is

    presented in Table (3). Table III

    The maximum value of enhancement.

    Volume concentration

    %

    Enhancement %with

    B=0.0Tesla

    Enhancement %with

    B=0.1Tesla

    Heat flux Kw/m2 Heat flux Kw/m2

    12.7 15.9 19.8 12.7 15.9 19.8

    0.3 11.6 6.4 6.9 13 10 8.2

    0.6 14.98 9.5 8.6 16.7 11.5 9.9

    0.9 18.3 13.1 12.7 20.1 14.1 13.9

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    6. Conclusions

    This article discussed the impacts of heat flux and magnetic

    nanofluid with a magnetic field on heat transfer in a

    horizontal pipe, thus the following points were derived.

    The nanofluid employed, Fe3O4– distilled water with a

    particle size of 80 nm resulted in an enhancement in the

    heat transfer as well as in the Nusselt Number. The

    nanoparticles displayed characteristics of heat transfer

    greater than the base fluid (distilled water). The average

    enhancement is (20.1 percent) for the magnetic nanofluid

    at a concentration of 0.9 percent and a magnetic field of 0.1

    Tesla with the heat flux of 12.7 kW/m2 while the minimum

    enhancement is (1.5 percent) for the magnetic nanofluid at

    a concentration of 0.3 percent with the heat flux of 19.8

    kW/m2 without the magnetic field. Applying a magnetic

    field often promotes heat transfer enhancement, as the

    magnetic field produces higher numbers of Nusselt as

    compared to water-distilled and magnetic nanofluid.

    Conclusively, with higher inlet temperature, the heat

    transfer decreases.

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