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Saha, Goutam; Paul, Manosh C. (2015)
Publisher: Elsevier Ltd.
Languages: English
Types: Article
Subjects:
Eulerian–Eulerian multi-phase mixture model is applied to numerically analyse the turbulent flow and heat transfer behaviour of water based Al2O3 and TiO2 nanofluids in a pipe. The main goal of the present work is to investigate the effects of volume concentrations, Brownian motion and size diameter of nanoparticles on the flow and heat transfer. Analysis of entropy generation is presented in order to investigate the condition that optimises the thermal system. Results reveal that small diameter of nanoparticles with their Brownian motion has the highest heat transfer rate as well as thermal performance factor for χ = 6%. Above all, the higher heat transfer rate is found while using the multi-phase model than the single-phase model (Saha and Paul [1]). Also, the optimal Reynolds number is found to be Re = 60 × 103 for χ = 6% and dp = 10 nm, which minimises the total entropy generation. Finally, it is showed that TiO2–water nanofluid is the most energy efficient coolant than Al2O3–water nanofluid, and some new correlations have been proposed for the calculation of average Nusselt number.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] G. Saha, M.C. Paul, Numerical analysis of heat transfer behaviour of water based Al2O3 and TiO2 nanofluids in a circular pipe under the turbulent flow condition, International Communication in Heat and Mass Transfer, 56 (2014) 96-108.
    • [2] A. Behzadmehr, M. Saffar-Avval, N. Galanis, Prediction of turbulent forced convection of a nanofluid in a tube with uniform heat flux using a two phase approach, International Journal of Heat and Fluid Flow, 28 (2007) 211-219.
    • [3] S.E.B. Maiga, C.T. Nguyen, N. Galanis, G. Roy, T. Mare, M. Coqueux, Heat transfer enhancement in turbulent tube flow using Al2O3 nanoparticle suspension, International Journal of Numerical Methods for Heat and Fluid Flow, 16 (2006) 275-292.
    • [4] V. Bianco, O. Manca, S. Nardini, Numerical investigation on nanofluids turbulent convection heat transfer inside a circular tube, International Journal of Thermal Sciences 50 (2011) 341-349.
    • [5] P.K. Namburu, D.K. Das, K.M. Tanguturi, R.S. Vajjha, Numerical study of turbulent flow and heat transfer characteristics of nanofluids considering variable properties, International Journal of Thermal Sciences 48 (2009) 290-302.
    • [6] M. Akbari, N. Galanis, A. Behzadmehr, Comparative assessment of single and twophase models for numerical studies of nanofluid turbulent forced convection International Journal of Heat and Fluid Flow, 37 (2012) 136-146.
    • [7] P. Kumar, A CFD study of heat transfer enhancement in pipe flow with Al2O3 nanofluid, World Academy of Science, Engineering and Technology, 81 (2011) 746- 750.
    • [8] Fluent 6.3 user guide, Fluent Inc., Lebanon, 2006.
    • [9] M. Manninen, V. Taivassalo, S. Kallio, On the mixture model for multiphase flow, Technical research centre of Finland, 288 (1996) 9-18.
    • [10] L. Schiller, A. Naumann, A drag coefficient correlation, Z. Ver. Deutsch. Ing., 77 (1935) 318-320.
    • [11] T.H. Shih, W.W. Liou, A. Shabbir, Z. Yang, J. Zhu, A new k-ϵ eddy viscosity model for high Reynolds number turbulent flows, Computational Fluids, 24 (1995) 227-238.
    • [12] E.B. Ratts, A.G. Raut, Entropy generation minimization of fully developed internal flow with constant heat flux, Journal of Heat Transfer, 126 (2004) 656-659.
    • [13] J. Buongiorno, Convective transport in nanofluids, Journal of Heat Transfer, 128 (2006) 240-250.
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