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OPTIMIZATION OF COOLING TOWER PERFORMANCE ANALYSIS USING TAGUCHI METHOD

ABSTRACT
This study discuss the application of Taguchi method in assessing maximum cooling tower effectiveness for the counter flow cooling tower using expanded wire mesh packing. The experiments were planned based on Taguchi’s L27 orthogonal array .The trail was performed under different inlet conditions of flow rate of water, air and water temperature. Signal-to-noise ratio (S/N) analysis, analysis of variance (ANOVA) and regression were carried out in order to determine the effects of process parameters on cooling tower effectiveness and to identity optimal factor settings. Finally confirmation tests verified this reliability of Taguchi method for optimization of counter flow cooling tower performance with sufficient accuracy.
KEYWORDS
PAPER SUBMITTED: 2011-05-28
PAPER REVISED: 2012-01-16
PAPER ACCEPTED: 2012-02-09
DOI REFERENCE: https://doi.org/10.2298/TSCI110528024R
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2013, VOLUME 17, ISSUE Issue 2, PAGES [457 - 470]
REFERENCES
  1. Walker, W.H., Lewis, W.K., MCACADAMS, W.H., and Gilliland, E.R., Principle of chemical Engineering, 3rd ed. McGraw-Hill Inc, New York, 1923.
  2. Simpson, W.M., Sherwood, T.K., Performance of small mechanical draft cooling towers, American Society of Refrigerating Engineering, 52(1946), pp. 535-543,pp. 574-576.
  3. Kelly, N.W., Swenson, L.K., Comparative performance of cooling tower packing Arrangements, Chemical Engineering Progress, 52(1956), pp .263-268.
  4. Barile, R.G., Dengler, J.L., Hertwig, T.A., Performance and design of a turbulent bed cooling tower, AIChE Symposium Series, 70(1974), pp. 154-162.
  5. Bedekar, S.V., Nithiarasu, P., Seethatamu, K.N., Experimental investigation of the performance of a counter flow packed bed mechanical cooling tower, Energy, 23(1998), pp. 943- 947.
  6. Goshayshi, H.R., Missenden, J.F., The investigation of cooling tower packing in various Arrangements, Applied Thermal Engineering, .20(2000), pp. 69-80.
  7. Kloppers, J.C., Kroger, D.G., Loss coefficient correlation for wet cooling tower fills, Applied Thermal Engineering, 23(2003), pp. 2201- 2211.
  8. Saravanan. M., Saravanan, R., Renganarayana, S., Energy and Exergy analysis of counter flow wet cooling towers, Thermal Science, 12 (2008), 2, pp. 69-78.
  9. Abo Elazm, M., Elsafty, A., Theoretical and experimental study of a cross-flow induced-draft cooling tower, Thermal Science, 13 (2009), 4, pp. 91-98.
  10. Lemouari, M., Boumaza, M., An experimental investigation of thermal characteristics of a mechanical draft wet cooling tower. Proceedings 13th IAHR, Poitiers, 2005, France.
  11. Lemouari, M., Boumaza, M., Mujtaba, I.M., Thermal performance investigation of a wet cooling tower, Applied thermal Engineering, 27(2007), pp.902-9009.
  12. Lemouari, M., Boumaza, M., Experimental investigation of the performance characteristics of a counterflow wet cooling tower, International Journal of Thermal Sciences, 49(2010), pp.2049-2056.
  13. Rao, R.V., Patel.V.K., Optimization of mechanical draft counter flow wet- cooling tower using artificial bee colony algorithm, Energy Conversion and Management, 52(2011),7, Pages 2611-2622.
  14. Eusiel,R., Medardo.S., José María.P., Miguel Angel.M., Optimization of mechanical draft counter flow wet-cooling towers using a rigorous model, Applied Thermal Engineering, 31(2011),16, pp. 3615-3628.
  15. Söylemez, M.S., On the optimum performance of forced draft counter flow cooling tower, Energy Conversion and Management, 45(2004),15-16, pp.2335-2341.
  16. Giorgia, F.C., José. L. P., Tah. W. S., José. M. P., A systemic approach for optimal cooling tower operation, Energy Conversion and Management, 50 (2009), 9, pp. 2200-2209
  17. ISO/IEC guide, Uncertainty of measurement Part-3, Guide to the expression of uncertainty in measurement, Joint committee for guides in Metrology (JCGM), 2008.
  18. Persson, C.G., Guide to the expression of uncertainty in measurement (GUM) and its possible use in geo data quality assessment, Q-KEN,Riga,Lativa,2011.
  19. Jinkun, L., Inyoung, Y., Sooseoki, Y., Jae Su, K., Uncertainty analysis and ANOVA for the measurement reliability estimation of altitude engine test, Journal of mechanical science and technology, 21(2007), pp.664-671.
  20. Guide to the expression of uncertainty in measurements, KOLAS (Korea Laboratory Accreditation Scheme), 2002.
  21. Taguchi, G., Elsayed, E.A., Hsiang, T., Quality Engineering in Production System, McGraw- Hill,New York, 1989.
  22. Taguchi, G., On-Line Quality Control during Production. Japan Standard association, Tokyo, 1981.
  23. Mustafa, K. B., Application of Taguchi approach to optimize friction stir spot welding parameters of polypropylene, Materials & Design, 35(2012), pp. 113-119.
  24. Wang,C., Rong Sheu, S., Yen Chou.Y., Jui Jang, M., and Chen Yang,L., A novel optimized energy-saving extraction process on coffee, Thermal Science, 15 (2011), Suppl.1, pp. s53-s59.
  25. Ji-Min. W., Hong-Jie .Y., Jie-Min. Z., Shi-Xuan.Li., Guang-Chen. Gui., Optimization of parameters for an aluminum melting furnace using the Taguchi approach, Applied Thermal Engineering, 33-34 (2012), pp. 33-43.
  26. Mahmoud, R. S., Sarah, J., Ashkan,E., Cloud point extraction for determination of Diazinon: Optimization of the effective parameters using Taguchi method, Chemometrics and Intelligent Laboratory Systems, 110(2012), 1, pp. 49-54
  27. Hong-Tzer, Y., Pai-Chun, P., Improving Taguchi method based contract capacity optimization for industrial consumers with self- owned generating units, Energy Conversion and Management, 53 (2012), 1, pp. 282-290.
  28. Babur Ozcelik., Optimization of injection parameters for mechanical properties of specimens with weld line of polypropylene using Taguchi method, International Communications in Heat and Mass Transfer, 38(2011), 8, pp.1067-1072.
  29. Vijayan, S., Raju. R., Subbaiah, K., Sridhar, N., Rao, S. R. K., Friction stir welding of Al-MG alloy optimization of process parameters using Taguchi method. Experimental Techniques, (2009), pp.1-8.
  30. Yang, W.H., Tang, Y.S., Design optimization of cutting parameters for turning operations based on the Taguchi method. Journal of Material Processing Technology, 84(1988) ,1-3, pp.122-129.
  31. Bagci, E., Aykut, S., A study of Taguchi optimization method for identifying optimum surface roughness in CNC face milling of cobalt-based alloy(satellite 6). International Journal of Advance Manufacturing Technology, 29 (2006), pp.940-947.
  32. Hasan, C., Tuncay, E., Ibrahim, U., Application of Taguchi optimization technique in determining plastic injection molding process parameters for a thin-shell part. Materials and Design, 28 (2007), pp.1271-1278.
  33. Phadke, M.S., Quality Engineering Using Robust Design. Prentice-Hall, pp.41-65, 1989.
  34. Avanish, K.D., Vinod, Y., Simultaneous optimization of multiple quality characteristics in laser beam cutting using Taguchi method, International Journal of Precision Engineering and Manufacturing, 8(2007), 4, pp.10-15.
  35. Philip. J. P., Taguchi Techniques for quality engineering, McGraw-Hill Book Company, 1988.
  36. Emer,T., Gulsah,C., Cengiz, Y., Optimization of the concentric heat exchanger with injector turbulators by Taguchi method, Energy conversion management, 53(2012), pp.268-275.

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