Approximation assisted optimization of headers for new generation of air-cooled heat exchangers

Applied Thermal Engineering

Volumn 61, Issue 2, 2013, Pages 817-824

  Saleh, Khaled ^a   Abdelaziz, Omar ^b   Aute, Vikrant ^a   Radermacher, Reinhard ^a   Azarm, Shapour ^a  

^a UNIVERSITY OF MARYLAND   (United States)

^b OAK RIDGE NATIONAL LABORATORY   (United States)

Author keywords

Approximation; CFD simulation; Heat exchanger header; Metamodel; Optimization

Indexed keywords

APPROXIMATION ALGORITHMS; COMPUTATIONAL FLUID DYNAMICS; COOLING SYSTEMS; FLOW OF FLUIDS; FLOW RATE; GENETIC ALGORITHMS; HEAT EXCHANGERS; INTERPOLATION; MASS TRANSFER; OPTIMIZATION; SOCIAL NETWORKING (ONLINE);

AIR-COOLED HEAT EXCHANGER; APPROXIMATION; APPROXIMATION TECHNIQUES; APPROXIMATION-ASSISTED OPTIMIZATIONS; CFD SIMULATIONS; META MODEL; MULTI-OBJECTIVE GENETIC ALGORITHM; NON-UNIFORM RATIONAL B-SPLINES;

MULTIOBJECTIVE OPTIMIZATION;

EID: 85027942248     PISSN: 13594311     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.applthermaleng.2012.06.007     Document Type: Article

References (41)

1. R.K. Shah Advances in science and technology of compact heat exchangers Heat Transfer Eng. 27 5 2006 3 22
2. A. Jiao, R. Zhang, and S. Jeong Experimental investigation of header configuration on flow maldistribution in plate-fin heat exchanger Appl. Therm. Eng. 23 2003 1235 1246
3. A. Jiao, and S. Baek Effects of distributor configuration on flow maldistribution in plate-fin heat exchangers Heat Transfer Eng. 26 2005 19 25
4. Z. Zhang, and Y. Li CFD simulation on inlet configuration of plate-fin heat exchangers Cryogenics 43 2003 673 678
5. J. Wen, and Y. Li Study of flow distribution and its improvement on the header of plate-fin heat exchanger Cryogenics 44 2004 823 831
6. J. Wen, Y. Li, S. Wang, and A. Zhou Experimental investigation of header configuration improvement in plate-fin heat exchanger Appl. Therm. Eng. 27 2007 1761 1770
7. Y. Hwang, D. Jin, and R. Radermacher Refrigerant distribution in minichannel evaporator manifolds HVAC&R Res. 13 4 2007 543 555
8. F. Galeazzo, R. Miura, J. Gut, and C. Tadini Experimental and numerical heat transfer in a plate heat exchanger Chem. Eng. Sci. 61 2006 7133 7138
9. T. Kulkarni, C. Bullard, and K. Cho Header design tradeoffs in micro-channel evaporators Appl. Therm. Eng. 24 2004 759 776
10. A. Bejan Constructal theory network of conducting paths for cooling a heat generating volume Int. J. Heat Mass Transfer 40 1997 799 816
11. A. Bejan Shape and Structure, from Engineering to Nature first ed. 2000 Cambridge University Press UK
12. A. Bejan, and S. Lorente Constructal theory of generation of configuration in nature and engineering J. Appl. Phys. 100 4 2006 Article number. 041301
13. D. Tondeur, and L. Luo Design and scaling laws of ramified fluid distributors by the constructal approach Chem. Eng. Sci. 59 2004 1799 1813
14. L. Luo, and D. Tondeur Optimal distribution of viscous dissipation in a multi-scale branched fluid distributor Int. J. Therm. Sci. 44 2005 1131 1141
15. M. Habib, R. Ben-Mansour, S. Said, J. Al-Bagawi, and K. Al-Mansour Correlations of flow distribution parameters in an air cooled heat exchanger Int. J. Numer. Methods Fluids 56 2008 143 165
16. S.G. Kandlikar, S. Garimella, D. Li, S. Colin, and M.R. King Heat Transfer and Fluid Flow in Minichannels and Microchannels first ed. 2006 ELSEVIER Kidlington, Oxford, UK 0-0804-4527-6
17. L. Piegl, and W. Tiller The NURBS Book second ed. 1997 Springer-Verlag Berlin Hidelberg New York, USA 3-540-61545-8
18. T.W. Simpson, J.D. Peplinski, P.N. Koch, and J.K. Allen Metamodels for computer-based engineering design: survey and recommendations Eng. Comput. 17 2 2001 129 150
19. M.C. Shewry, and H.P. Wynn Maximum entropy sampling J. Appl. Stat. 14 1987 165 170
20. N.A.C. Cressie Statistics for Spatial Data, Wiley Series in Probability and Mathematical Statistics 1993 Wiley & Sons, Ltd New York, USA
21. M. Armstrong Basic Linear Geostatistics 1998 Springer-Verlag Berlin Hidelberg New York, USA
22. T.M.D. Bakker Design Optimization with Kriging Models, WBBM Report Series 47 2000 Delft University Press Netherlands
23. D.R. Jones A taxonomy of global optimization methods based on response surfaces J. Glob. Optimization 21 2001 345 383
24. K. Deb Multi-Objective Optimization Using Evolutionary Algorithms 2001 John Wiley & Sons, Ltd New York, USA
25. M. Li, G. Li, and S. Azarm A Kriging metamodel assisted multi-objective genetic algorithm for design optimization J. Mech. Des. 130 3 2008 031401-1-031401-031410
26. M. Papadrakakis, N.D. Lagaros, and Y. Tsompanakis Optimization of large-scale 3D trusses using evolution strategies and neural networks Int. J. Space Structures 14 3 1999 211 223
27. B. Wilson, D. Cappelleri, M. Frecker, and T.W. Simpson Efficient Pareto frontier exploration using surrogate approximations Optimization Eng. 2 2001 31 50
28. P.N. Koch, B.A. Wujek, O. Golovidov, T. W.Simpson, Facilitating Probabilistic Multidisciplinary Design Optimization Using Kriging Approximation Models, Proceedings of the 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Atlanta, Georgia, USA, 2002.
29. Y. Lian, M. Liou, Multiobjective Optimization Using Coupled Response Surface Model and Evolutionary Algorithm, Proceedings of the 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Albany, NY, USA, 2004.
30. H. Fang, M. Rais-Rohani, M. Horstemeyer, Multiobjective Crashworthiness Optimization with Radial Basis Functions, 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Albany, NY, USA, 2004.
31. P.B.Nair, A.J. Keane, Combining Approximation Concepts with Genetic Algorithm-based Structural Optimization Procedures, Proceedings of the 39th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference and Exhibit, and AIAA/ASME/AHS Adaptive Structures Forum, Long Beach, CA, USA, 1998.
32. Y.-S. Hong, H. Lee, and M.-J. Tahk Acceleration of the convergence speed of evolutionary algorithms using multilayer neural networks Eng. Optimization 35 1 2003 91 102
33. P. Nain, K. Deb, Computationally Effective Search and Optimization Procedure Using Coarse to Fine Approximations, Proceedings of the Congress on Evolutionary Computation (CEC-2003), Canberra, Australia, pp. 2081-2088, 2003.
34. K. Saleh, V.Aute, S. Azarm, R. Radermacher, Online Approximation Assisted Multiobjective Optimization with Space Filling, Variance and Pareto Measures, 13th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, AIAA-2010-9103, Fort Worth, Texas, USA, 2010.
35. Y. Jin A comprehensive survey of fitness approximation in evolutionary computation Soft Comput. 9 1 2005 3 12
36. O. Abdelaziz, V. Aute, S. Azarm, and R. Radermacher Approximation assisted optimization for novel compact heat exchanger designs HVAC&R Res. 16 5 2010 707 728
37. O. Abdelaziz, Development of multi-scale, multi-physics, analysis capability and its application to novel heat exchanger design and optimization, Ph.D. DissertatioN, University of Maryland, College Park, MD, USA, 2009.
38. Fluent 'User's Guide', Version 6.3, 2007.
39. R.K. Shah, and A.L. London Laminar Flow Forced Convection in Ducts, a Supplement to Advances in Heat Transfer 1978 Academic New York, USA
40. R.K. Dybvig The Scheme Programming Language third ed. 2003 MIT Press Cambridge, Mass., USA
41. J.P. Van Doormaal, and G.D. Raithby Enhancement of the SIMPLE method for predicting incompressible fluid flows Numer. Heat Transfer 7 2 1984 147 163