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Louvered Fin Heat Exchanger : Optimal Design and Numerical Investigation of Heat and Flow Characteristics

루버휜 최적 설계 및 최적 모델의 열유동 특성 분석

  • Ryu, Kijung (School of Mechanical Engineering, Hanyang University) ;
  • Lee, Kwan-Soo (School of Mechanical Engineering, Hanyang University)
  • Received : 2013.09.25
  • Published : 2013.12.10

Abstract

This paper presents a numerical optimization of louvered fins to enhance the JF factor in terms of the design parameters, including the fin pitch, the number of louvers, the louver angle, the fin thickness, and the re-direction louver length. We carried out a parametric study to select the three most important parameters affecting the JF factor, which were the fin pitch, number of louvers, and the louver angle. We optimally designed the louvered fin by using 3rd-order full factorial design, the kriging method, and a micro genetic algorithm. Consequently, the JF factor of the optimum model increased by 16% compared to that of the base model. Moreover, the optimum model reduced the pressure drop by 17% with a comparable heat transfer rate.

Keywords

References

  1. Qi, Z. G., Chen, J. P., and Chen, Z. J., 2007, Parametric study on the performance of a heat exchanger with corrugated louvered fins, Applied Thermal Engineering, Vol. 27, pp. 539-544. https://doi.org/10.1016/j.applthermaleng.2006.06.015
  2. Hsieh, C. T. and Jang, J. Y., 2012, Parametric study and optimization of louver finned-tube heat exchangers by Taguchi method, Applied Thermal Engineering, Vol. 42, pp. 101-110. https://doi.org/10.1016/j.applthermaleng.2012.03.003
  3. Ameel, B., Degroote, j., T'Joen, C., Jaeger, P. D., Huisseune, H., Schampheleire, S. D., Vierendeels, J., and Paepe, M. D., 2013, Optimization of X-shaped louvered fin and tube heat exchangers while maintaining the physical meaning of the performance evaluation criterion, Applied Thermal Engineering, Vol. 58, pp. 136-145. https://doi.org/10.1016/j.applthermaleng.2013.04.016
  4. Yun, J. Y. and Lee, K. S., 2000, Influence of design parameters on the heat transfer and flow friction characteristics of the heat transfer with slit fins, International Journal of Heat and Mass Transfer, Vol. 43, pp. 2529-2539. https://doi.org/10.1016/S0017-9310(99)00342-7
  5. Kays, W. M. and London, A. L., 1950, Heat transfer and flow friction characteristics of some compact heat exchanger surfaces-part I:test system and procedure, Transactions of the ASME, Vol. 72, pp. 1075-1085.
  6. Kim, M. H. and Bullard, C. W., 2002, Air-side thermal hydraulic performance of multi-louvered fin aluminum heat exchanger, International Journal of Refrigeration, Vol. 25, pp. 390-400. https://doi.org/10.1016/S0140-7007(01)00025-1
  7. David, C. W., 2004, Turbulence Modeling, DCW Industries.
  8. Shih, T. H., Liou, W. W., Shabbir, A., Yang, Z., and Zhu, J., 1995, A new k-epsilon eddy-viscosity model for high Reynolds number turbulent flows:model development and validation, Computers and Fluids, Vol. 24, pp. 227-238. https://doi.org/10.1016/0045-7930(94)00032-T
  9. Kim, M. S. and Lee, K. S., 2010, The thermoflow characteristics of an oscillatory flow in offset-strip fins, Numerical Heat Transfer Part A, Vol. 58, pp. 835-851. https://doi.org/10.1080/10407782.2010.529033
  10. Davenport, C. J., 1983, Correlation for heat transfer and friction characteristics of louvered fin, AIChE Symposium Series, Vol. 79, pp. 19-27.
  11. Chang, Y. J. and Wang, C. C., 1997, A generalized heat transfer correlation for louver fin geometry, International Journal of Heat and Mass Transfer, Vol. 40, pp. 533-544. https://doi.org/10.1016/0017-9310(96)00116-0
  12. Chang, Y. J., Hsu, K. C., Lin, Y. T., and Wang, C. C., 2000, A generalized friction correlation for louver fin geometry, International Journal of Heat and Mass Transfer, Vol. 43, pp. 2237-2243. https://doi.org/10.1016/S0017-9310(99)00289-6
  13. Simpson, T. W., Mauery, T. M., Korte, J. J., and Mistree, F., 2001, Kriging models for global approximation in simulation-based multidisciplinary design optimization, AIAA Journal, Vol. 39, pp. 2233-2241. https://doi.org/10.2514/2.1234
  14. Krishnakumar, K., 1989, Micro genetic algorithms for stationary and non-stationary function optimization, Intelligent Control and Adaptive Systems, Vol. 1196, pp. 289-296.
  15. PIAnO(Process Integration, Automation and Optimization), 2011, User's manual, Version 3.3, Framax Inc.