Thermal conductivity modeling of MgO/EG nanofluids using experimental data and artificial neural network

Journal of Thermal Analysis and Calorimetry

Volumn 118, Issue 1, 2014, Pages 287-294

  Hemmat Esfe, Mohammad ^a   Saedodin, Seyfolah ^a   Bahiraei, Mehdi ^b   Toghraie, Davood ^c   Mahian, Omid ^d   Wongwises, Somchai ^e  

^a SEMNAN UNIVERSITY   (Iran)

^b KERMANSHAH UNIVERSITY OF TECHNOLOGY   (Iran)

^c ISLAMIC AZAD UNIVERSITY   (Iran)

^d ISLAMIC AZAD UNIVERSITY   (Iran)

^e KING MONGKUT'S UNIVERSITY OF TECHNOLOGY THONBURI   (Thailand)

Author keywords

Nanofluids; Neural network; Particle size; Thermal conductivity

Indexed keywords

MAGNESIA; NANOFLUIDICS; NANOPARTICLES; NEURAL NETWORKS; PARTICLE SIZE; THERMAL CONDUCTIVITY; VOLUME FRACTION;

DIFFERENT SIZES; EMPIRICAL CORRELATIONS; NANOFLUIDS; NANOPARTICLE SIZES; TEMPERATURE RANGE; THERMAL CONDUCTIVITY ENHANCEMENT; THERMAL CONDUCTIVITY MODEL; VOLUME CONCENTRATION;

THERMAL CONDUCTIVITY OF LIQUIDS;

EID: 84907380242     PISSN: 13886150     EISSN: 15882926     Source Type: Journal    
DOI: 10.1007/s10973-014-4002-1     Document Type: Article

References (26)

1. Lorenzini G, Medici M, Alberto Oliveira Rocha L. Convective analysis of constructal T-shaped fins. J Eng Therm. 2014;23(2):98-104.
2. Mahian O, Kianifar A, Kalogirou SA, Pop I, Wongwises S. A review of the applications of nanofluids in solar energy. Int J Heat Mass Transf. 2013;57:582-94.
3. Rashidi I, Mahian O, Lorenzini G, Biserni C, Wongwises S. Natural convection of Al2O3/water nanofluid in a square cavity: effects of heterogeneous heating. Int J Heat Mass Transf. 2014;74:391-402.
4. Halelfadl S, Adham AM, Mohd-Ghazali N, Maré T, Estellé P, Ahmad R. Optimization of thermal performance and pressure drop of a rectangular microchannel heat sink using aqueous carbon nanotubes based nanofluid. Appl Therm Eng. 2014;62:492-9.
5. Witharana S, Palabiyik I, Musina Z, Ding Y. Stability of glycol nanofluids - the theory and experiment. Powder Technol. 2013;239:72-7.
6. Barbés B, Páramo R, Blanco E, Pastoriza-Gallego MJ, Piñeiro MM, Legido JL, Casanova C. Thermal conductivity and specific heat capacity measurements of Al2O3 nanofluids. J Therm Anal Calorim. 2013;11:1615-25.
7. Hemmat Esfe M, Saedodin S, Mahian O, Wongwises W. Thermal conductivity of Al2O3/water nanofluids: measurement, correlation, sensitivity analysis, and comparisons with literature reports. J Therm Anal Calorim. 2014;. doi: 10.1007/s10973-014-3771-x.
8. Salehi JM, Heyhat MM, Rajabpour A. Enhancement of thermal conductivity of silver nanofluid synthesized by a one-step method with the effect of polyvinylpyrrolidone on thermal behavior. Appl Phys Lett. 2013;102:231907.
9. Halelfadl S, Maré T, Estellé P. Efficiency of carbon nanotubes water based nanofluids as coolants. Exp Therm Fluid Sci. 2014;53:104-10.
10. Yiamsawasd T, Selim Dalkilic A, Wongwises S. Measurement of the thermal conductivity of titania and alumina nanofluids. Thermochim Acta. 2012;545:48-56.
11. Longo GA, Zilio C. Experimental measurement of thermophysical properties of oxide-water nano-fluids down to ice-point. Exp Therm Fluid Sci. 2011;35:1313-24.
12. Kleinstreuer C, Feng Y. Experimental and theoretical studies of nanofluid thermal conductivity enhancement: a review. Nanoscale Res Lett. 2011;6:229.
13. Longo GA, Zilio C. Experimental measurements of thermophysical properties of Al2O3- and TiO2-ethylene glycol nanofluids. Int J Thermophys. 2013;34:1288-307.
14. Xie H, Yu W, Chen W. MgO nanofluids: higher thermal conductivity and lower viscosity among ethylene glycol-based nanofluids containing oxide nanoparticles. J. Exp Nanosci. 2010;5:463-72.
15. Xie H, Yu W, Li Y, Chen L. Discussion on the thermal conductivity enhancement of nanofluids. Nanoscale Res Lett. 2011;6:124.
16. Hemmat Esfe M, Saedodin S, Mahmoodi M. Experimental studies on the convective heat transfer performance and thermophysical properties of MgO-Water nanofluid under turbulent flow. Exp Therm Fluid Sci. 2013;52:68-78.
17. Kalogirou SA. Applications of artificial neural-networks for energy systems. Appl Energy. 2000;67:17-35.
18. Papari MM, Yousefi F, Moghadasi J, Karimi H, Campo A. Modeling thermal conductivity augmentation of nanofluids using diffusion neural networks. Int J Therm Sci. 2011;50:44-52.
19. Hojjat M, Etemad SGh, Bagheri R, Thibault J. Thermal conductivity of non-Newtonian nanofluids: experimental data and modeling using neural network. Int J Heat Mass Transf. 2011;54:1017-23.
20. Longon GA, Zilio C, Ceseracciu E, Reggiani M. Application of artificial neural network (ANN) for the prediction of thermal conductivity of oxide-water nanofluids. Nano Energy. 2012;1:290-6.
21. Yoo DH, Hong KS, Yang HS. Study of thermal conductivity of nanofluids for the application of heat transfer fluids. Thermochim Acta. 2007;455:66-9.
22. Challoner AR, Powell RW. Thermal conductivities of liquids: new determinations for seven liquids and appraisal of existing values. Proceedings Royal Society London A. 1956;238:90-106.
23. Kurt H, Kayfeci M. Prediction of thermal conductivity of ethylene glycol water solutions by using artificial neural networks. Appl Energy. 2009;86:2244-8.
24. Czarnetzki W, Roetzel W. Temperature oscillation techniques for simultaneous measurement of thermal diffusivity and conductivity. Int J Thermophys. 1995;16:413-22.
25. Cahill DG. Thermal conductivity measurement from 30 to 750 K: the 3w method. Rev Sci Instrum. 1990;61:802-8.
26. Iranidokht V, Hamian S, Mohammadi N, Behshad Shafii M. Thermal conductivity of mixed nanofluids under controlled pH conditions. Int J Therm Sci. 2013;74:63-71.