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An Introduction to the NanoFluid By Amin Behzadmehr Hassan Azarkish

An Introduction to the NanoFluid...Nanofluids are a relatively new class of fluids which consist of a base fluid with nano-sized particles (1–100 nm) suspended within them. It is

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  • An Introduction to the

    NanoFluid

    By

    Amin Behzadmehr

    Hassan Azarkish

  • Introduction

    Nanofluids are a relatively new class of fluids which consist of abase fluid with nano-sized particles (1–100 nm) suspended withinthem. It is introduced by choi on Argonne National Laboratory at1995.

    -Heat Transfer Enhancement-Heat Transfer Enhancement

  • Comparison of the thermal conductivity of common liquids, polymers and solids.

    (D. Wen et al. Particuology 7 (2009) 141–150)

  • Compared to conventional solid-liquid suspensions for heat transfer

    intensifications, properly engineered thermal nanofluids possess the

    following advantages:

    1. High specific surface area and therefore more heat transfersurface between particles and fluids.

    2. High dispersion stability with predominant Brownian motion of

    Advantages of nanofluids

    2. High dispersion stability with predominant Brownian motion ofparticles.

    3. Reduced pumping power as compared to pure liquid to achieveequivalent heat transfer intensification.

    4. Reduced particle clogging as compared to conventionalslurries, thus promoting system miniaturization.

    5. Adjustable properties, including thermal conductivity andsurface wettability, by varying particle concentrations to suitdifferent applications.

  • Applications of nanofluids

    •Transportation (Engine cooling/vehicle thermal management)

    •Electronics cooling

    •Defense

    •Space

    •Nuclear systems cooling•Nuclear systems cooling

    •Heat exchanger

    •Biomedicine

    •Other applications (heat pipes, fuel cell, Solar water heating,

    chillers, domestic refrigerator, Diesel combustion, Drilling,

    Lubrications, Thermal storage,…)

  • Production of nanoparticles and nanofluids

    NanoparticlesPhysical methods (Grinding methods, Inert Gas Condensation, …)Chemical methods (Chemical precipitation, Chemical Vapor Deposition,

    Micro-emulsions, spray pyrolysis, thermal spraying,…)

    NanofluidsNanofluidsThe one-step methodsimultaneously makes and disperse the nanoparticles directly into a base fluid

    prevent oxidation of pure metal particles

    non commercial

    The two-step methodproduced the nanoparticles and dispersed them into a base fluid

    Research and industrial applications

  • Researches

    Experimental ResearchesThermal properties

    Heat transfer correlations

    Analytical ModelsAnalytical ModelsThermal properties

    Similarity solutions

    Numerical ResearchesSingle-phase

    Two-phaseGrowth of publications by the nanofluids

    community.

    (D. Wen et al. Particuology 7 (2009) 141–150)

  • Convective heat transfer correlations for nanofluids.

  • Sampels of theoretical investigations in convective heat transfer of nanofluids.

  • Experimental research on nanofluid thermal conductivityEffect of particle volume concentration

    W. Yu, D.M. France, S.U.S. Choi, and J.L. Routbort

    Energy Systems Division, Argonne National Laboratory

  • Experimental research on nanofluid thermal conductivityEffect of particle material

    W. Yu, D.M. France, S.U.S. Choi, and J.L. Routbort

    Energy Systems Division, Argonne National Laboratory

  • Experimental research on nanofluid thermal conductivityEffect of particle size

    W. Yu, D.M. France, S.U.S. Choi, and J.L. Routbort

    Energy Systems Division, Argonne National Laboratory

  • Experimental research on nanofluid thermal conductivityEffect of particle shape

    W. Yu, D.M. France, S.U.S. Choi, and J.L. Routbort

    Energy Systems Division, Argonne National Laboratory

  • Experimental research on nanofluid thermal conductivityEffect of base fluid

    W. Yu, D.M. France, S.U.S. Choi, and J.L. Routbort

    Energy Systems Division, Argonne National Laboratory

  • Experimental research on nanofluid thermal conductivityEffect of temperature

    W. Yu, D.M. France, S.U.S. Choi, and J.L. Routbort

    Energy Systems Division, Argonne National Laboratory

  • Experimental research on nanofluid thermal conductivityEffect of PH

    W. Yu, D.M. France, S.U.S. Choi, and J.L. Routbort

    Energy Systems Division, Argonne National Laboratory

  • Nanofluids reported in literature

  • Experimental researches on heat transfer

    Laminar flow

    W. Yu, D.M. France, S.U.S. Choi, and J.L. Routbort

    Energy Systems Division, Argonne National Laboratory

  • Experimental researches on heat transfer

    Turbulent flow

    W. Yu, D.M. France, S.U.S. Choi, and J.L. Routbort

    Energy Systems Division, Argonne National Laboratory

  • Experimental researches on heat transfer

    Natural convection

    (N. Putra et al. Heat and Mass Transfer 39 (2003) 775–784)

  • Challenges of nanofluids

    •lack of agreement of results obtained by different researchers

    •lack of theoretical understanding of the mechanisms

    responsible for changes in properties

    •poor characterization of suspensions

    •stability of nanoparticles dispersion•stability of nanoparticles dispersion

    •Increased pressure drop and pumping power

    •Nanofluids thermal performance in turbulent flow and fully

    developed region

    •Higher viscosity, Lower specific heat

    •High cost of nanofluids

    •Difficulties in production process

  • Stability of nanoparticles dispersion

    Samples of Al2O3 nanofluids (without any stabilizer)

    stability change with time

    (R. Saidura et al. Renewable and Sustainable Energy Reviews 15 (2011) 1646–1668)

  • Stability of nanoparticles dispersion

    The sedimentation of diamond nanoparticles at settling times of

    (a) 0 min, (b) 1min, (c) 2min, (d) 3min, (e) 4min, (f) 5min, and (g) 6min

    (R. Saidura et al. Renewable and Sustainable Energy Reviews 15 (2011) 1646–1668)

  • Nanoparticle agglomerates

    (N. Putra et al. Heat and Mass Transfer 39 (2003) 775–784)

  • Part ‖

    Research activities in nanofluidlaboratory

    in Mechanical Engineering Department ofin Mechanical Engineering Department of

    University of Sistan and Baluchestan

  • Researches

    Numerical Works

    Analytical Models

    Experimental InvestigationsExperimental Investigations

  • Numerical Researches

    � Single Phase approach

    � Two-Phase approach

  • Single Phase approach

  • Two-Phase approach

    � Mixture model

    � Eulerian – Eulerian

    � Eulerian-Lagrangian

  • Mixture model

    Continuity

    Momentum

    Energy

    Volume fraction

  • Eulerian – Eulerian

    Continuity

    Momentum Eq. in x directionMomentum Eq. in x direction

  • Eulerian – Eulerian

    Momentum Eq. in y direction

  • Eulerian – Eulerian

    Energy Equation

  • Eulerian-Lagrangian

    Continuity

    Momentum

    Energy

  • Lagrangian for the particles

  • Some of the Numerical Results

    Comparison of measured and calculated Nusselt numbers for a nanofluid flow.

    Behzadmehr et al. 2007, International Journal of Heat & Fluid Flow, Vol.28, pp. 211-219

  • Some of the Numerical Results

    Axial evolution of the centerline turbulent kinetic energy

    Behzadmehr et al. 2007, International Journal of Heat & Fluid Flow, Vol.28, pp. 211-219

  • Fully developed peripheral average Nusselt number at different Grashof numbers: (a) Re = 300

    (De = 83), (b) Re = 900 (De = 249).

    Fully developed peripheral average skin friction coefficient at different Grashof numbers: (a) Re = 300

    (De = 83), (b) Re = 900 (De = 249).

    A. Akbarinia, A. Behzadmehr, 2007, Applied Thermal Engineering, Vol. 27, pp. 1327-1337

  • S. Mirmasoumi , A. Behzadmehr, 2008, International Journal of Heat & Fluid Flow, Vol. 29, pp.557-566

  • O. Gaffari, A. Behzadmehr, H. Ajam, 2010, International Communications in Heat and Mass Transfer 37 1551–1558

  • A new model for calculating the effective viscosity of nanofluids

    Brownian motion, velocity between the base fluid and nanoparticles

    Temperature, Mean nanoparticle diameter, Nanoparticle volume fraction,

    Nanoparticle density and base fluid physical properties.

    Analytical Models

    N. Masoumi, N. Sohrabi, A. Behzadmehr, 2009, JOURNAL OF PHYSICS D: APPLIED PHYSICS 42

  • Comparison of the predicted relative

    viscosity with the experimental and

    other available models in the literature

    for the Al2O3–H2O nanofluid at

    (a) dp = 36 nm,

    (b) dp = 28 nm

    (c) dp = 13 nm.

  • Comparison of the predicted effective

    viscosity with the experimental and

    other available models in the literature

    for the CuO–H2O nanofluid.

  • A Simple Analytical Model for Calculating the Effective ThermalConductivity of Nanofluids

    •Conduction heat transfer caused by a solid-like nanolayer that covers

    the nanoparticle.

    •A convective heat transfer caused by the relative motion between the

    Analytical Models

    •A convective heat transfer caused by the relative motion between the

    nanoparticle and the surrounding base fluid.

    This equation presents the effective thermal conductivity as a function

    of the thermal conductivity of nanoparticles, base fluid, nanoparticle

    mean diameter, temperature, and solid-like nanolayer

    N. Sohrabi, N. Masoumi, A. Behzadmehr, S.M.H. Sarvari, 2010, Heat Transfer - Asian Research Vol. 10, pp 141-150

  • Nanoparticle, nanolayer, and

    surrounding base fluid arrangement.

  • Variations of the effective thermal conductivity with temperature:

    (a) Al2O3–EG, (b) CuO–water

  • Experimental Investigations

    � Single phase heat exchanger

    � Boiling

    � Stability

  • Thanks