Heat pipe design through generalized extremal optimization

Heat Transfer Engineering

Volumn 25, Issue 7, 2004, Pages 34-45

  De Sousa, Fabiano Luis ^a   Vlassov, Valeri V ^a   Ramos, Fernando Manuel ^a  

^a INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

AMMONIA; CAPILLARITY; COMPUTATIONAL METHODS; CONDENSERS (LIQUEFIERS); FUNCTIONS; GENETIC ALGORITHMS; GRAVITATION; HEAT TRANSFER; MECHANICAL PERMEABILITY; SIMULATED ANNEALING; SPACE APPLICATIONS;

DISCRETE VARIABLES; EXTERNAL OPTIMIZATION (EO) ALGORITHMS; GENERALIZED EXTERNAL OPTIMIZATION (GEO); INTEGER VARIABLES;

HEAT PIPES;

EID: 4644254378     PISSN: 01457632     EISSN: None     Source Type: Journal    
DOI: 10.1080/01457630490495823     Document Type: Conference Paper

References (20)

1. Kirkpatrick, S., Gellat, C. D., and Vecchi, M.P., Optimization by Simulated Annealing, Science, vol. 220, no. 4598, pp. 671-680, 1983.
2. Goldberg, D. E., Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley Publishing Company, New York, 1989.
3. Jilla, C. D., and Miller, D. W., Assessing the Performance of a Heuristic Simulated Annealing Algorithm for the Design of Distributed Satellite Systems, Acta Astronautica, vol. 48, no. 5-12, pp. 529-543, 2001.
4. Schoonover, P. L., Crossley, W. A., and Heister, S. D., Application of a Genetic Algorithm to the Optimization of Hybrid Rockets, Journal of Spacecraft and Rockets, vol. 37, no. 5, pp. 622-629, 2000.
5. Wang, X., and Damodaran, M., Aerodynamic Shape Optimization Using Computational Fluid Dynamics and Parallel Simulated Annealing Algorithms, AIAA Journal, vol. 39, no. 8, pp. 1500-1508, 2001.
6. Vicini, A., and Quagliarella, D., Airfoil and Wing Design Through Hybrid Optimization Strategies, AIAA Journal, vol. 37, no. 5, pp. 634-641, 1999.
7. Boettcher, S., and Percus, A. G., Optimization with Extremal Dynamics, Physical Review Letters, vol. 86, pp. 5211-5214, 2001.
8. Bak, P., and Sneppen, K., Punctuated Equilibrium and Criticality in a Simple Model of Evolution, Physical Review Letters, vol. 71, no. 24, pp. 4083-4086, 1993.
9. Sousa, F. L., and Ramos, F. M., Function Optimization Using Extremal Dynamics, Proc. 4th International Conference on Inverse Problems in Engineering, Rio de Janeiro, Brazil, 2002.
10. Sousa, F. L., Ramos, F. M., Paglione, P., and Girardi, R. M., New Stochastic Algorithm for Design Optimization, AIAA Journal, vol. 41, no. 9, pp. 1808-1818, 2003.
11. Rajesh, V. G., and Ravindran, K. P., Optimum Heat Pipe Design: A Nonlinear Programming Approach, International Communications in Heat and Mass Transfer, vol. 24, no. 3, pp. 371-380, 1997.
12. Bak, P., How Nature Works, Springer-Verlag, New York, 1996.
13. Peterson, G. P., An Introduction to Heat Pipes. Modeling, Testing, and Applications, John Wiley & Sons, Inc., New York, 1994.
14. Chi, S. W., Heat Pipe Theory and Practice, A Sourcebook, Hemisphere Publishing Corporation, New, York, 1976.
15. Dunn, P., and Reay, D. A., Heat Pipes, Pergamon Press, New York, 1976.
16. Marcus, B. D., Theory and Design of Variable Conductance Heat Pipes. NASA CR 2018, April, 1972.
17. Schmidt, E., Contribution a l'Etude des Calodues, Ph.D. thesis, University of Grenoble, France, 1968.
18. Bird, R., Steward, W., and Lightfoot, E., Transport Phenomena, J. Wiley & Sons, NY, 1960.
19. Ivanovski, M. N., Sorokin, V. P., and Yagodkin, I. V., The Physical Principles of Heat Pipes, Trans. R. Berman, ed. G. Rice, Clarendon Press, Oxford, 1982.
20. Faghri, A., Heat Pipe Science and Technology, Taylor & Francis, New York, 1995.