The heat transfer and pressure drop of three types of shell-and-tube heat exchangers, one with conventional segmental baffles and the other two with continuous helical baffles, were experimentally measured with water flowing in the tube side and oil flowing in the shell side. The genetic algorithm has been used to determine the coefficients of correlations. It is shown that under the identical mass flow, a heat exchanger with continuous helical baffles offers higher heat transfer coefficients and pressure drop than that of a heat exchanger with segmental baffles, while the shell structure of the side-in-side-out model offers better performance than that of the middle-in-middle-out model. The predicted heat transfer rates and friction factors by means of the genetic algorithm provide a closer fit to experimental data than those determined by regression analysis. The predicted corrections of heat transfer and flow performance in the shell sides may be used in engineering applications and comprehensive study. It is recommended that the genetic algorithm can be used to handle more complicated problems and to obtain the optimal correlations.
1.
Krai
, D.
, Stehlik
, P.
, Van der Ploeg
, H. J.
, and Master
, B. I.
, 1996, “Helical Baffles in Shell-and-Tube Heat Exchangers, Part I: Experimental Verification
,” Heat Transfer Eng.
0145-7632, 17
, pp. 93
–101
.2.
Peng
, B. T.
, 2005, “Experimental Study of Heat Transfer and Pressure Drop for Shell-and-Tube Heat Exchangers With Continuous Helical Baffles
,” Master’s thesis, Department of Energy and Power Engineering, Xi’an Jiaotong University (in Chinese).3.
Reppich
, M.
, and Zagermann
, S.
, 1995, “A New Design Method For Segmentally Baffled Heat Exchangers
,” Comput. Chem. Eng.
0098-1354, 19
, pp. 37
–142
.4.
Wang
, Q. W.
, 2004, “Current Status and Development of Shell-Side Heat Transfer Enhancement of Shell-and-Tube Heat Exchangers With Helical Baffles
,” Journal of Xi’an Jiaotong University
, 38
, pp. 881
–886
(in Chinese).5.
Wang
, Q. W.
, Luo
, L. Q.
, Zeng
, M.
, and Tao
, W. Q.
, 2005, “Shell-Side Heat Transfer and Pressure Drop of Shell-and-Tube Heat Exchangers With Overlap Helical Baffles
,” Journal of Chemical Industry and Engineering (China)
, 56
, pp. 598
–601
(in Chinese).6.
Xie
, G. N.
, Peng
, B. T.
, Chen
, Q. Y.
, Wang
, Q. W.
, Luo
, L. Q.
, Huang
, Y. P.
, and Xiao
, Z. J.
, 2006, “Experimental Study and Prediction of Pressure Drop and Heat Transfer in Shell-Side of Tube-and-Shell Heat Exchangers
,” Proc. Chin. Soc. Electr. Eng.
0258-8013, 26
(21
), pp. 104
–108
(in Chinese).7.
Bell
, K. J.
, 2004, “Heat Exchanger Design for the Process Industries
,” ASME J. Heat Transfer
0022-1481, 126
(6
), pp. 877
–885
.8.
Li
, H. D.
, and Kottke
, V.
, 1998, “Effect of the Leakage on Pressure Drop and Local Heat Transfer in Shell-and Tube Heat Exchangers for Staggered Tube Arrangement
,” Int. J. Heat Mass Transfer
0017-9310, 41
, pp. 425
–433
.9.
Naim
, A.
, and Bar-Cohen
, A.
, 1996, A New Developments in Heat Exchangers
, Gordon and Breach Publishers
, Amsterdam, pp. 467
–499
.10.
Sen
, M.
, and Yang
, K. T.
, 2000, “Applications of Artificial Neural Networks and Genetic Algorithms in Thermal Engineering
,” in: The CRC Handbook of Thermal Engineering
, F.
Kreith
, eds., CRC Press
, Boca Raton, FL, pp. 620
–661
.11.
Pacheco-Vega
, A.
, Sen
, M.
Yang
, K. T.
, and McClain
, R. L.
, 1998, “Genetic Algorithms-Based Predictions of Fin-Tube Heat Exchanger Performance
,” Proceedings of 11th International Heat Transfer Conference
, Kyongju, Korea, August 23
–28
.12.
Ozkol
, I.
, and Komurgoz
, G.
, 2005, “Determination of the Optimum Geometry of the Heat Exchanger Body via a Genetic Algorithm
,” Numer. Heat Transfer, Part A
1040-7782, 48
, pp. 283
–296
.13.
Xie
, G. N.
, and Wang
, Q. W.
, 2006, “Geometrical Optimization of Plate-Fin Heat Exchanger Using Genetic Algorithms
,” Proc. Chin. Soc. Electr. Eng.
0258-8013, 26
(7
), pp. 53
–57
(in Chinese).14.
Mishra
, M.
, Das
, P. K.
, and Sarangi
, S.
, 2004, “Optimum Design of Crossflow Plate-Fin Heat Exchangers through Genetic Algorithm
,” International Journal of Heat Exchangers
, 5
, pp. 379
–401
.15.
Selbas
, R.
, Kizilkan
, O.
, and Reppich
, M.
, 2006, “A New Design Approach for Shell-and-Tube Heat Exchangers Using Genetic Algorithms From Economic Point of View
,” Chem. Eng. Process.
0255-2701, 45
, pp. 268
–275
.16.
Liang
, H. X.
, Xie
, G. N.
, Zeng
, M.
, Wang
, Q. W.
, and Feng
, Z. P.
, 2005, “Application Genetic Algorithm to Optimization Recuperator in Micro-Turbine
,” The 2nd International Symposium on Thermal Science and Engineering
, Beijing, China, October 23
–25
.17.
Liang
, H. X.
, Xie
, G. N.
, Zeng
, M.
, Wang
, Q. W.
, and Feng
, Z. P.
, 2006, “Genetic Algorithm Optimization for Primary Surfaces Recuperator of Microturbine
,” Proceedings of GT2006, ASME Turbo Expo
, Barcelona, Spain, Paper No. GT 2006-90366, May 8–11, 2006.18.
Pacheco-Vega
, A.
, Sen
, M.
, Yang
, K. T.
, and McClain
, R. L.
, 2001, “Correlations of Fin-Tube Heat Exchanger Performance Data Using Genetic Algorithms Simulated Annealing and Interval Methods
,” Proceedings of ASME the Heat Transfer Division
, New York, November 11
–16
.19.
Pacheco-Vega
, A.
, Sen
, M.
, and Yang
, K. T.
, 2003, “Simultaneous Determination of In- and Over-Tube Heat Transfer Correlations in Heat Exchangers by Global Regression
,” Int. J. Heat Mass Transfer
0017-9310, 46
, pp. 1029
–1040
.20.
Deiveegan
, M.
, Balaji
, C.
, and Venkateshan
, S. P.
, 2006, “Comparison of Various Methods for Simultaneous Retrieval of Surface Emissivities and Gas Properties in Gray Participating Media
,” ASME J. Heat Transfer
0022-1481, 128
, pp. 829
–837
.21.
Chen
, Y. F.
, Li
, D. Y.
, Lukes
, J. R.
, and Majumdar
, A
, 2005, “Monte Carlo Simulation of Silicon Nanowire Thermal Conductivity
,” ASME J. Heat Transfer
0022-1481, 127
, pp. 1129
–1137
.22.
Gnielinski
, V.
, 1976, “New Equations for Heat and Mass Transfer in Turbulent Pipe and Channel Flows
,” Indian Chem. Eng.
0019-4506, 16
, pp. 359
–368
.23.
Goldberg
, D. E.
, 1989, Genetic Algorithms in Search, Optimization and Machine Learning
, Addison-Wesley Publishing Company Inc.
, Reading, MA.24.
Michalewicz
, Z.
, and Fogel
, D. B.
, 2000, How to Solve it: Modern Heuristics
, Springer
, New York.25.
Carroll
, D. L.
, 1996, “Chemical Laser Modeling With Genetic Algorithms
,” AIAA J.
0001-1452, 34
, pp. 338
–346
.26.
Carroll
, D. L.
, 1996, “Genetic Algorithms and Optimizing Chemical Oxygen-Iodine Lasers
,” Developments in Theoretical and Applied Mechanics
, H.
Wilson
et al., eds., School of Engineering, The University of Alabama
, Vol. XVIII
, pp. 411
–424
.27.
Michalewicz
, Z.
, Deb
, K.
, Schmidt
, M.
, and Stidsen
, T
, 2000, “Test-Case Generator for Constrained Parameter Optimization Techniques
,” IEEE Trans. Evol. Comput.
1089-778X, 4
, pp. 197
–215
.28.
Pacheco-Vega
, A.
, Diaz
, G
, Sen
, M.
, Yang
, K. T.
, and McClain
, R. L.
, 2001, “Heat Rate Predictions in Humid Air-Water Heat Exchangers Using Correlations and Neural Networks
,” ASME J. Heat Transfer
0022-1481, 123
, pp. 348
–354
.29.
Xie
, G. N.
, Wang
, Q. W.
, Zeng
, M.
, and Luo
, L. Q.
, 2007, “Heat Transfer Analysis for Shell-and-Tube Heat Exchangers With Experimental Data by Artificial Neural Networks Approach
,” Appl. Therm. Eng.
1359-4311, 27
, pp. 1096
–1104
.Copyright © 2007
by American Society of Mechanical Engineers
You do not currently have access to this content.
