{"title":"Optimization of Supersonic Ejector via Sequence-Adapted Micro-Genetic Algorithm","authors":"Kolar Jan, Dvorak Vaclav","volume":70,"journal":"International Journal of Physical and Mathematical Sciences","pagesStart":1412,"pagesEnd":1417,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/4441","abstract":"
In this study, an optimization of supersonic air-to-air ejector is carried out by a recently developed single-objective genetic algorithm based on adaption of sequence of individuals. Adaptation of sequence is based on Shape-based distance of individuals and embedded micro-genetic algorithm. The optimal sequence found defines the succession of CFD-aimed objective calculation within each generation of regular micro-genetic algorithm. A spring-based deformation mutates the computational grid starting the initial individualvia adapted population in the optimized sequence. Selection of a generation initial individual is knowledge-based. A direct comparison of the newly defined and standard micro-genetic algorithm is carried out for supersonic air-to-air ejector. The only objective is to minimize the loose of total stagnation pressure in the ejector. The result is that sequence-adopted micro-genetic algorithm can provide comparative results to standard algorithm but in significantly lower number of overall CFD iteration steps.<\/p>\r\n","references":"[1] Shapiro, A. H. The dynamics and thermodynamics of compressible fluid flow. New York: The Ronald Press Company, 1953.\r\n[2] Moeckel, W. E. Interaction of oblique shock waves with regions of variable pressure, entropy and energy. Washington,: NACA, 1952. TN 2725.\r\n[3] Kol\u00e1\u0159, J. and \u0160afa\u0159ik, P. \"Interaction of oblique shock wave with shear layer.\" In Proceedings of the International Conference XXVII: Meeting of Departments of Fluid Mechnaics and Thermomechanics. Plze\u0148, 2008. pp. 163-170.\r\n[4] Dvo\u0159\u00e1k, V. and Kol\u00e1\u0159, J. \"Shape optimization of supersonic ejectors with several primary nozzles\", in the 2nd International Conference on Engineering Optimization, Lisboa, 6.-9. September 2010.\r\n[5] Dvo\u0159\u00e1k, V. \"Shape optimization of supersonic ejector for supersonic wind tunnel\", s. 1: In.: Applied and Computational Mechanics, 2010. pp. 15-24.\r\n[6] Breitkopf, P. and Coelho, R. F. Multidisciplinary design optimization in computational mechanics. s. 1.: Wiley -ISTE, 2010.\r\n[7] Hynek, J. Genetic algorithms and genetic programming (in Czech). Prague : Grada Publishing, a.s., 2008.\r\n[8] Holland, J. H. Adaptation in natural and artificial systems. Ann Arbor, Michigan: The University of Michigan Press, 1975.\r\n[9] Zelinka, I. et al. Evolutionary computational techniques (in Czech). Prague: BEN-technick\u00e1literatura, 2008.\r\n[10] Yanagisawa, Y., Akahani, J. and Satoh, T. \"Shape-based similarity query for trajectories of mobile objects.\", in Proceedings of Mobile Data Management, Tapei, p. 63-77, 2003.\r\n[11] Wilcox, D. Reassessment of the scale determining equation for advanced turbulent models. 1988. AIAA J. 26(11), 1299-1310.\r\n[12] Menter, F. R. Two-equations Eddy-viscosity turbulence models for engineering applications. 1994. aIAA J. 32(8), 1598-1605.\r\n[13] Inc., Fluent. Fluent user documentation. Lebanon: s.n, 2006.\r\n[14] Dvo\u0159\u00e1k, V., \"Optimized Axi-symmetric ejector - experimental and numerical investigation,\" Liberec, in Proceedings of Experimental Fluid Mechanics, 25-27. November. pp 34-43., 2009. ","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 70, 2012"}