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Evolutionary algorithms for propellants parameters identification

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Języki publikacji
EN
Abstrakty
EN
This paper presents the possibility of the parametric identification of an unknown low energy explosive basing only on its ballistic curve using advanced optimisation algorithm. What was under investigation here was the approach of an explosive replication for the numerical investigation of ANSYS AUTODYN solver. The emphasis was given here for the propellants used in the automotive safety devices. The results of closed bomb testing was compared with its numerical representation. The required parameters to develop a new numerical model of an explosive was identified with the aid of evolutionary algorithm. In order to perform a parametric identification a mathematical model of considered phenomenon is required. Hence, this paper contains a mathematical model of a deflagration process which was the basis for the evolutionary algorithm. The algorithm verified a variety of parameters until the objective function is obtained. In the case of this paper the objective function was a ballistic curve of an unknown explosive which combust under deflagration regime. The results obtained with this method shows good agreement with the closed bomb test of the propellant. Furthermore, advanced optimisation tools such as an evolutionary algorithms, in oppose to most of other optimisations algorithms, enables to find a global optimum. However, the identified function here was found to be unimodal.
Twórcy
autor
  • Wroclaw University of Technology Department of Motor Vehicles and Combustion Engines Braci Gierymskich Street 164, 51-640 Wrocław tel.: +48/(71) 347 79 26, fax +48/(71) 347 79 18
  • Wroclaw University of Technology Department of Motor Vehicles and Combustion Engines Braci Gierymskich Street 164, 51-640 Wrocław tel.: +48/(71) 347 79 26, fax +48/(71) 347 79 18
Bibliografia
  • [1] Liciejewski, Z. K., Surma, Z., Effect of Application of Various Ignition Conditions in Closed-Vessel Tests on Burning Rate Calculation of a Fine-Grained Propellant, Combustion, Explosion, and Shock Waves, Vol. 47, No. 2, pp. 209-216, 2011.
  • [2] Arabas, J., Wykłady z algorytmów ewolucyjnych, WNT, Warszawa 2001.
  • [3] Lis, J., Parametryczno-nieparametryczna identyfikacja złożonego układu napędowego z silnikiem indukcyjnym, Rozprawa doktorska, Politechnika Wrocławska, 2008.
  • [4] Introduction to ANSYS AUTODYN, Material models, Chapter 9, ANSYS, Inc.
  • [5] ANSYS, Inc. ANSYS AUTODYN User's Manual, Release 14.5 October 2012.
  • [6] Atwood, A., Friis, E. K., Moxnes, J. F., A Mathematical Model for Combustion of Energetic Powder Materials. 34th International Annual Conference of ICT, Karlsruhe Federal Republic of Germany, June 24-27, 2003.
  • [7] Agrawak, J. P., High energy materials, Propellants, Explosives and Pyrotechnics, WILEYVCH, 2010.
  • [8] Liciejewski, Z. K., Experimental Study of Possibilities for Employment of Linear Form of Burning Rate Law to Characterise the Burning Process of Fine-Grained Propellants, Central European Journal of Energetic Materials, 5(1), pp. 45-61, 2008.
  • [9] Jeunieau, L., Lefebvre, M. H., Papy, A., Pirlot, M. C., Guillaume P., Influence of the size distribution on the combustion rate of a spherical propellant, 20th International Symposium on Ballistics, 2002.
  • [10] Liciejewski, Z. K., Influence of ignition method and loading conditions in closed vessel test on the burning rate of a propelling charge, High Energy Materials, Vol. 1, pp. 152-160, 2009.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-aa0a86bd-1392-45be-9055-b5118d1d374a
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