Advertisement

Journal of Mechanical Science and Technology

, Volume 32, Issue 2, pp 915–928 | Cite as

Investigation of heat-exchanger-sizing methods using genetic, pattern search, and simulated annealing algorithms and the effect of entropy generation

  • Kyunghun Lee
  • Minsung Kim
  • Man Yeong Ha
  • June Kee Min
Article

Abstract

A numerical study on the heat exchanger design process has been conducted in order to propose a more effective method for the preliminary design of highly efficient and compact heat exchanger. The ε-NTU based performance prediction program and the heat exchanger database having performance correlations of various fin-type heat exchanger were developed. Numerical characteristics of the genetic, pattern search, and simulated annealing algorithms for the heat exchanger sizing were compared in terms of the accuracy and the computational speed. The effect of margins in design requirements were examined through the size ranking and the response surface analysis. The usefulness of the entropy generation minimization was appraised by comparing to the case when the objective function was the volume of the heat exchanger.

Keywords

Heat exchanger ε-NTU Optimization algorithm Entropy generation 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    J. K. Min, J. H. Jeong and M. Y. Ha, High temperature heat exchanger studies for applications to gas turbines, International Journal of Heat and Mass Transfer, 46 (2) (2009) 175–186.CrossRefGoogle Scholar
  2. [2]
    M. Kim, J. K. Min and M. Y. Ha, Numerical study for the full-scale analysis of plate-type heat exchanger using onedimensional flow network model and ε-NTU method, Journal of Korean Society for Computational Fluids Engineering, 19 (1) (2014) 47–56.CrossRefGoogle Scholar
  3. [3]
    L. Wang, Performance analysis and optimal design of heat exchanger and heat exchanger networks, Department of Heat and Power engineering, Lund Institute of Technology (2001).Google Scholar
  4. [4]
    L. Wang and B. Sunden, Design methodology for Multistream plate-fin heat exchanger in heat exchanger networks, Heat Transfer Engineering, 22 (6) (2001) 3–11.CrossRefGoogle Scholar
  5. [5]
    R. K. Shah, Laminar flow friction and forced convection heat transfer in ducts of arbitrary geometry, International Journal of Heat and Mass Transfer, 18 (7) (1975) 849–862.CrossRefMATHGoogle Scholar
  6. [6]
    J. H. Doo, M. Y. Ha, J. K. Min, R. Stieger, A. Rolt and C. Son, An investigation of cross-corrugated heat exchanger primary surfaces for advanced intercooled-cycle aero engines (Part-1: Design optimization of primary surface), International Journal of Heat and Mass Transfer, 55 (19) (2012) 5256–5267.CrossRefGoogle Scholar
  7. [7]
    X. Luo, M. Li and W. Roetzel, A general solution for onedimensional multistream heat exchangers and their networks, International Journal of Heat and Mass Transfer, 45 (13) (2002) 2695–2705.CrossRefMATHGoogle Scholar
  8. [8]
    R. V. Rao and V. K. Patel, Thermodynamic optimization of plate-fin heat exchanger using teaching-learning-based optimization (TBLO) algorithm, International Journal of Advances in Thermal Sciences and Engineering, 2 (2) (2011) 91–96.Google Scholar
  9. [9]
    R. V. Rao and V. K. Patel, Thermodynamic optimization of cross flow plate-fin heat exchanger using a particle swarm optimization algorithm, International Journal of Thermal Sciences, 49 (9) (2010) 1712–1721.CrossRefGoogle Scholar
  10. [10]
    S. Sanaye and H. Hajabdollahi, Thermal-economic multiobjective optimization of plate fin heat exchanger using genetic algorithm, Applied Energy, 87 (6) (2010) 1893–1902.CrossRefGoogle Scholar
  11. [11]
    K. Guo, N. Zhang and R. Smith, Optimisation of fin selection and thermal design of counter-current plate-fin heat exchangers, Applied Thermal Engineering, 78 (5) (2015) 491–499.CrossRefGoogle Scholar
  12. [12]
    J.-M. Reneaume and N. Niclout, MINLP optimization of plate fin heat exchangers, Chemical and Biochemical Engineering Quarterly, 17 (1) (2003) 65–76.Google Scholar
  13. [13]
    G. N. Xie, B. Sunden and Q. W. Wang, Optimization of compact heat exchangers by a genetic algorithm, Applied Thermal Engineering, 28 (89) (2008) 895–906.CrossRefGoogle Scholar
  14. [14]
    G. N. Xie, Q. W. Wang and B. Sunden, Application of a genetic algorithm for thermal design of fin-and-tube heat exchangers, Heat Transfer Engineering, 29 (7) (2008) 597–607.CrossRefGoogle Scholar
  15. [15]
    D. K. Lee, S. J. Jeong and S. Y. Kim, A study on the efficient optimization method by coupling genetic algorithm and direct search method, Transactions of the Society of Naval Architects of Korea, 31 (3) (1994) 12–18.Google Scholar
  16. [16]
    H. W. Lee, Comparison of a generalized pattern search algorithm and a genetic algorithm in the structural optimization of geodesic dome, Journal of the Architectural Institute of Korea Structure & Construction, 26 (7) (2010) 13–10.MathSciNetGoogle Scholar
  17. [17]
    M. A. S. S. Ravegnani, A. P. Silva, P. A. Arroyo and A. A. Constantino, Heat exchanger network synthesis and optimization using genetic algorithm, Applied Thermal Engineering, 25 (7) (2005) 1003–1017.CrossRefGoogle Scholar
  18. [18]
    A. P. Vega, M. Sen, K. T. Yang and R. L. McClain, Genetic algorithm based predictions of fin-tube heat exchanger performance, Heat Transfer Conference, 6 (1998) 137–142.Google Scholar
  19. [19]
    M. C. Tayal and Y. Fu, Optimal design of heat exchangers: A genetic algorithm framework, Industrial and Engineering Chemistry Research, 38 (1999) 456–467.CrossRefGoogle Scholar
  20. [20]
    M. Ajith, R. Das, R. Uppaluri and S. C. Mishra, Boundary heat fluxes in a square enclosure with an embedded design element, Journal of Thermophysics and Heat Transfer, 24 (4) (2010) 845–849.CrossRefGoogle Scholar
  21. [21]
    R. Das and K. T. Ooi, Application of simulated annealing in a rectangular fin with variable heat transfer coefficient, Inverse Problems in Science and Engineering, 21 (8) (2013) 1352–1367.MathSciNetCrossRefGoogle Scholar
  22. [22]
    R. Das and D. K. Prasad, Prediction of porosity and thermal diffusivity in a porous fin using differential evolution algorithm, Swarm and Evolutionary Computation, 23 (2015) 27–39.CrossRefGoogle Scholar
  23. [23]
    R. Das, Identification of materials in a hyperbolic annular fin for a given temperature requirement, Inverse Problems in Science and Engineering, 24 (2) (2016) 213–233.MathSciNetCrossRefGoogle Scholar
  24. [24]
    R. Das, Feasibility study of different materials for attaining similar temperature distributions in a fin with variable properties, Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 230 (4) (2016) 292–303.CrossRefGoogle Scholar
  25. [25]
    R. Das, B. Akay, R. K. Singla and K. Singh, Application of artificial bee colony algorithm for inverse modelling of a solar collector, Inverse Problems in Science and Engineering, 25 (6) (2017) 887–908.MathSciNetCrossRefGoogle Scholar
  26. [26]
    A. Bejan, A study of entropy generation in fundamental convective heat transfer, ASME Journal of Heat Transfer, 101 (4) (1979) 718–725.CrossRefGoogle Scholar
  27. [27]
    R. T. Ogulata, F. Doba and T. Yilmaz, Irreversibility analysis of cross flow heat exchangers, Energy Conversion and Management, 41 (15) (2000) 1585–1599.CrossRefGoogle Scholar
  28. [28]
    J. Guo, L. Cheng and M. Xu, Optimization design of shelland-tube heat exchanger by entropy generation minimization and genetic algorithm, Applied Thermal Engineering, 29 (14) (2009) 2954–2960.CrossRefGoogle Scholar
  29. [29]
    W. M. Kays and L. L. London, Compact heat exchangers, McGrawHill Book co, New York (1984).Google Scholar
  30. [30]
    R. K. Shah and D. P. Sekulic, Fundamentals of heat exchanger design, J. Wiley, London, UK (2003).CrossRefGoogle Scholar
  31. [31]
    J. C. Adams, Advanced heat transfer surfaces for gas turbine heat exchangers, Ph.D. Thesis, University of Oxford (2004).Google Scholar
  32. [32]
    J. H. Holland, Adaptation in natural and artificial systems, Ann Arbor: The University of Michigan Press (1975).Google Scholar
  33. [33]
    R. Hooke and T. A. Jeeves, Direct search solution of numerical and statistical problems, Journal of the Association for Computing Machinery, 8 (2) (1961) 212–229.CrossRefMATHGoogle Scholar
  34. [34]
    S. Kirkpatrik, C. D. Gelatt and M. P. Vecchi, Optimization by simulated Annealing, Science, 220 (4598) (1983) 671–680.MathSciNetCrossRefMATHGoogle Scholar
  35. [35]
    M. Kim, M. Y. Ha, J. K. Min, R. Stieger, A. Rolt and C. Son, Numerical study on the cross-corrugated primary surface heat exchanger having asymmetric cross-sectional profiles for advanced intercooled-cycle aero engines, International Journal of Heat and Mass Transfer, 66 (2013) 139–153.CrossRefGoogle Scholar
  36. [36]
    J. E. Hesselgreaves, Rationalisation of second law analysis of heat exchangers, International Journal of Heat and Mass Transfer, 43 (22) (2000) 4189–4204.CrossRefMATHGoogle Scholar

Copyright information

© The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Kyunghun Lee
    • 1
  • Minsung Kim
    • 2
  • Man Yeong Ha
    • 1
  • June Kee Min
    • 1
  1. 1.School of Mechanical EngineeringPusan National UniversityBusanKorea
  2. 2.Rolls-Royce and Pusan National University Technology Centre in Thermal ManagementPusan National UniversityBusanKorea

Personalised recommendations