Application of neural networks to prediction of phase transport characteristics in high-pressure two-phase turbulent bubbly flows

Nuclear Engineering and Design

Volumn 223, Issue 3, 2003, Pages 295-313

  Yang, An Shik ^a   Kuo, Tien Chuan ^b   Ling, Pou Hong ^a  

^a DA YEH UNIVERSITY   (Taiwan)

^b NATIONAL SPACE ORGANIZATION   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

HIGH PRESSURE EFFECTS; NEURAL NETWORKS; PIPE FLOW; TWO PHASE FLOW; VECTORS;

PHASE TRANSPORT;

TURBULENT FLOW;

EID: 0038825079     PISSN: 00295493     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0029-5493(03)00060-8     Document Type: Article

References (32)

1. Allen M.G., Bulter C.T., Johnson S.A., Lo E.Y., Russo F. An imaging neural network combustion control system for utility boiler applications. Combustion Flame. 94:1993;205-214.
2. Andrew, J.M., Lieberman, S.H., 1991. Use of a neural network for the analysis of fluorescence spectra from mixtures of polycyclic aromatic hydrocarbons. In: SPIE, vol. 1587. Chemical, Biochemical, and Environmental Fiber Sensor III.
3. Bankoff S.G. A variable density single-fluid model for two-phase flow with particular reference to steam-water flow. J. Heat Transfer. 82:1960;265-271.
4. Beatie D.R.H. Two-phase flow structure and mixing length theory. Nucl. Eng. Design. 21:1972;46-64.
5. Beyerlein S.W., Cossmann R.K., Richter H.J. Prediction of bubble concentration profiles in vertical turbulent two-phase flow. Int. J. Multiphase Flow. 11:1985;629-641.
6. Chen J.S. Neural network based model and error compensation for thermally-induced spindle errors of a machining center. Int. J. Adv. Manufact. Technol. 12:1996;303-308.
7. Delhaye, J.M., 1969. General equations of two-phase systems and their applications to air-water bubble flow and to steam-water flashing flow. In: Proceedings of the 11th Heat Transfer Conference, ASME Paper 69-HT-63, Minneapolis.
8. Demuth, H., Beale, M., 1993. Neural Network Toolbox User's Guidance. The Math Works Inc., Natick, MA, pp. 16-42.
9. Drew D., Lahey R.T. Phase distribution mechanisms in turbulent two-phase flow in a circular pipe. J. Fluid Mech. 117:1982;91-106.
10. Dumek, V., Druckmuller, M., Rauduensky, M., 1993. Novel approaches to the IHCP: neural networks and expert systems. In: Inverse Problems in Engineering: Theory and Practice ASME.
11. Hertz, J., Krogh, A., Palmer, R.G., 1991. Introduction to the Theory of Neural Computation. Addison-Wesley, New York, pp. 32-77.
12. Hsieh W.H., Chen C.Y. Inverse problem of specifying combustion parameters in the design of airbag inflators with neural networks. Combustion Sci. Technol. 136:1998;171-197.
13. Jacobs R.A. Increased rates of convergence through learning rates adoption. Neural Netw. 1:1988;295-307.
14. Kevin W.W., Ravi K.P., Robert E.M. Specifying exhaust nozzle contours with a neural network. AIAA J. 31:1993;229-238.
15. Kuo T.C., Yang A.S., Pan C., Chieng C.C. Eulerian-Lagrangian computations on phase distribution of two phase bubbly flow. Int. J. Num. Method Fluid. 24:1997a;1-15.
16. Kuo, T.C., Yang, A.S., Pan, C., Chieng, C.C., 1997b. Prediction of the entrance region effect on turbulent bubbly flow in pipes. In: Proceedings of the Eighth International Topical Meeting on Nuclear Reactor Thermal-Hydraulics (NURETH-8), Kyoto, Japan.
17. Kuo T.C., Yang A.S., Pan C., Chieng C.C. Effects of two phase turbulent structure interactions on phase distribution in bubbly pipe flows. Jpn. Soc. Mech. Eng. Ser. B. 42:1999;419-428.
18. Kuo T.C., Yang A.S., Chieng C.C. Bubble size and system pressure effects on the phase distribution for two-phase turbulent bubbly flows. J. Mech. Eng. Sci. 215:2001;121-132.
19. Launder B.E., Spalding D.B. The numerical computation of turbulent flows. Comput. Methods Appl. Mech. Eng. 3:1974;269-289.
20. Levy S. Prediction of two-phase pressure drop and density distribution phenomena mixing length theory. J. Heat Transfer. 85:1963;137-152.
21. Liu T.J. Bubble size and entrance length on void development in a vertical channel. Int. J. Multiphase Flow. 19:1993;99-113.
22. Liu, T.J., 1989. Experimental investigation of turbulence structure in two-phase bubbly flow. Ph.D. thesis, Northwestern University.
23. Lopez de Bertodano M., Lahey R.T. Jr., Jones D.C. Development of a k-ε model for bubbly two-phase flow. Trans. ASME. 116:1994;128-134.
24. Matusi, G., 1992. Characteristic structure of upward bubble flow. In: Dynamics of Two-Phase Flows. CRC Press, Washington, DC, pp. 359-377.
25. Pokharna H., Mori M., Ransom V.H. The particle fluid model and using Lagrangian representation in two-phase flow modeling. Nucl. Eng. Design. 175:1997;59-69.
26. Reid, R.C., Prausnitz, J.M., Poling, B.E., 1987. The Properties of Gases and Liquids, 4th ed. McGraw-Hill, New York, pp. 388-485.
27. Rumelhart, D.E., Hinton, G.E., Williams, R.J., 1986. Learning internal representation by error propagation. In: Parallel Distributed Processing. MIT Press, Cambridge, MA.
28. Sato Y., Sadatomi M., Sekoguchi K. Momentum and heat transfer in two-phase bubble flow. Int. J. Multiphase Flow. 7:1981;167-177.
29. Serizawa A., Kataoka I., Michiyoshi I. Turbulence structure of air-water bubbly flow. Int. J. Multiphase Flow. 2:1975;221-259.
30. Van Doormaal J.V., Raithby G.D. Enhancements of the SIMPLE method for predicting incompressible fluid flows. Num. Heat Transfer. 7:1984;147-163.
31. Van Wylen, G.J., Sonntag, R.E., 1985. Fundamentals of Classical Thermodynamics, 3rd ed. Wiley, New York, pp. 612-628.
32. Zumwalt, L.C., Kallio, G., 1991. A numerical simulation of thermophoretic deposition in turbulent flow. ASME-FED-91, New York, 1-9.