Investigation of pool boiling of nanofluids using artificial neural networks and correlation development techniques

International Communications in Heat and Mass Transfer

Volumn 39, Issue 3, 2012, Pages 424-431

  Balcilar, M ^a   Dalkilic, A S ^a   Suriyawong, A ^b   Yiamsawas, T ^b   Wongwises, S ^b,c  

^a YILDIZ TECHNICAL UNIVERSITY   (Turkey)

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

^c Academy of Science   (Thailand)

Author keywords

Heat transfer coefficient; Modeling; Nanofluid; Neural network; Pool boiling

Indexed keywords

ALUMINUM TEST; CIRCULAR TESTS; CONCENTRATION RATES; CROSS VALIDATION ALGORITHMS; DEVELOPMENT TECHNIQUE; DIMENSIONLESS VALUES; ELIMINATION PROCESS; EMPIRICAL CORRELATIONS; EXPERIMENTAL DATA; GENERALIZED REGRESSION NEURAL NETWORKS; HEATER SURFACE; HEATING SURFACES; HIDDEN LAYER NEURONS; INPUT PARAMETER; INPUT VALUES; LIQUID SATURATION; MEAN RELATIVE ERROR; MEASURED RESULTS; MULTI LAYER PERCEPTRON; NANOFLUID; NANOFLUIDS; NUCLEATE POOL BOILING; POOL BOILING; POOL BOILING HEAT TRANSFER; RADIAL BASIS NETWORKS; TEMPERATURE DIFFERENCES; TEST SECTIONS; TEST SETS; TIO; TRAINING SETS; TRANSFER COEFFICIENT;

COPPER; HEAT FLUX; HEAT TRANSFER COEFFICIENTS; LAKES; MODELS; NEURAL NETWORKS; PARTICLE SIZE; PHASE TRANSITIONS; SURFACE ROUGHNESS; THERMAL CONDUCTIVITY; TITANIUM DIOXIDE;

NANOFLUIDICS;

EID: 84858794772     PISSN: 07351933     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.icheatmasstransfer.2012.01.008     Document Type: Article

References (19)

1. Das M.K., Kishor N. Adaptive fuzzy model identification to predict the heat transfer coefficient in pool boiling of distilled water. Expert Systems with Applications 2009, 36:1142-1154.
2. Liu T., Sun X., Li X., Wang H. Neural network analysis of boiling heat transfer enhancement using additives. International Journal of Heat and Mass Transfer 2002, 45:5083-5089.
3. Scalabrin G., Condosta M., Marchi P. Modeling flow boiling heat transfer of pure fluids through artificial neural networks. International Journal of Thermal Sciences 2006, 45:643-663.
4. Scalabrin G., Condosta M., Marchi P. Mixtures flow boiling: modeling heat transfer through artificial neural networks. International Journal of Thermal Sciences 2006, 45:664-680.
5. Wang W.J., Zhao L.X., Zhang C.L. Generalized neural network correlation for flow boiling heat transfer of R22 and its alternative refrigerants inside horizontal smooth tubes. International Journal of Heat and Mass Transfer 2006, 49:2458-2465.
6. Gungor K.E., Winterton R.H.S. A general correlation for flow boiling in tubes and annuli. International Journal of Heat Mass Transfer 1986, 29:351-358.
7. 2-water nanofluids at very low concentrations. Experimental Thermal and Fluid Science 2010, 34:992-999.
8. 2-R141b nanofluids. International Journal of Heat and Mass Transfer 2009, 52:1582-1588.
9. Balcilar M., Dalkilic A.S., Wongwises S. Artificial neural network (ANN) techniques for the determination of condensation heat transfer characteristics during downward annular flow of R134a inside a vertical smooth tube. International Communications in Heat and Mass Transfer 2011, 38:75-84.
10. Nelder J.A., Mead R. A simplex method for function minimization. Computer Journal 1965, 7:308-313.
11. Balcilar M., Dalkilic A.S., Bolat B., Wongwises S. Investigation of empirical correlations on the determination of condensation heat transfer characteristics using computational numerical methods during downward annular flow of R134a inside a vertical smooth tube. Journal of Mechanical Science and Technology 2011, 25:1-20.
12. Rhosenow W.M. A method of correlating heat transfer data for surface boiling of liquids. Transactions of ASME 1952, 74:969-975.
13. Narayan G.P., Anoop K.B., Sateesh G., Das S.K. Effect of surface orientation on pool boiling heat transfer of nanoparticle suspensions. International Journal of Multiphase Flow 2008, 34:145-160.
14. Taylor R.A., Phelan P.E. Pool boiling of nanofluids: comprehensive review of existing data and limited new data. International Journal of Heat and Mass Transfer 2009, 52:5339-5347.
15. 3-water nano-fluids from a plain surface in a pool. International Journal of Heat and Mass Transfer 2005, 48:2407-2419.
16. Zhaohu S., Maoqiong G., Zhijian L., Jianfeng W. Nucleate pool boiling heat transfer coefficients of pure HFC134a, HC290, HC600a and their binary and ternary mixtures. International Journal of Heat and Mass Transfer 2007, 50:94-104.
17. Cornwell K., Houston S.D. Nucleate pool boiling on horizontal tubes: a convection-based correlation. International Journal of Heat Mass Transfer 1994, 37:303-309.
18. Das S.K., Putra N., Roetzel W. Pool boiling characteristics of nano-fluids. International Journal of Heat and Mass Transfer 2003, 46:851-862.
19. Das S.K., Putra N., Roetzel W. Pool boiling of nano-fluids on horizontal narrow tubes. International Journal of Multiphase Flow 2003, 29:1237-1247.