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Algorithms of optimum location of sensors for solidification parameters estimation

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Języki publikacji
EN
Abstrakty
EN
The algorithms of optimal sensor location for estimation of solidification parameters are discussed. These algorithms base on the Fisher Information Matrix and A-optimality or D-optimality criterion. Numerical examples of planning algorithms are presented and next for optimal position of sensors the inverse problems connected with the identification of unknown parameters are solved. The examples presented concern the simultaneous estimation of mould thermophysical parameters (volumetric specific heat and thermal conductivity) and also the components of volumetric latent heat of cast iron.
Rocznik
Strony
141--146
Opis fizyczny
Bibliogr. 16 poz., rys., wykr.
Twórcy
  • Silesian University of Technology, Department for Strength of Materials and Computational Mechanics , Konarskiego 18a, 44-100 Gliwice, Poland
Bibliografia
  • [1] M.Patan, D.Uciński, Optimal location of sensors for parameter estimation of static distributed systems, R.Wyrzykowski et al. (Eds.): PPAM 2001, LNCS 2328, 2002, pp.729-737.
  • [2] V.V.Fedorov, P.Hacki, Model-oriented design experiments. Lecture Notes in Statistics, Springer-Verlag, New York, 1997.
  • [3] D.Uciński, Optimal measurements methods for distributed parameter system identification, Boca Raton, FL: CRC Press, 2005.
  • [4] M.Kleiber, Parameter sensitivity, J.Wiley & Sons Ltd., Chichester, 1997.
  • [5] R.Szopa, Sensitivity analysis and inverse problems in the thermal theory of foundry, Publ. of the Czest. Univ. of Techn., Czestochowa, 2006.
  • [6] K.Dems, B.Rousselet, Sensitivity analysis for transient heat conduction in a solid body, Structural Optimization, 17 (1999), 36-45.
  • [7] B.Mochnacki, E.Majchrzak, Identification of macro and micro parameters in solidification model, Bulletin of the Polish Academy of Sciences, Technical Sciences, Vol. 55, No 1, 2007, 107-113.
  • [8] J.Mendakiewicz, Application of identification methods in solidification process modelling, Archives of Foundry Engineering, Vol. 8, No 1, 2008, 203-210.
  • [9] E.Majchrzak, J.Mendakiewicz, Identification of cast iron substitute thermal capacity, Archives of Foundry, 6, 22 (2006) 310-315.
  • [10] E.Majchrzak, J.Mendakiewicz, Gradient method of cast iron latent heat identification, Archives of Foundry Engineering, Vol. 7, 4, 2007, 121-126.
  • [11] E.Majchrzak, J.Mendakiewicz, Optimal location of sensors for estimation of cast iron latent heat, Scientific Research of the Institute of Mathematics and Computer Science, Czestochowa University of Technology, 1(8), 2009, 123-130.
  • [12] E.Majchrzak, J.Mendakiewicz, Optimum location of sensors for mould parameters estimation, Archives of Foundry Engineering, Vol. 10, 1, 2010, 97-100.
  • [13] B.Mochnacki, J.S.Suchy, Identification of alloy latent heat on the basis of mould temperature (Part 1), Archives of Foundry 6, 22 (2006) 324-330.
  • [14] K.Kurpisz, A.J.Nowak, Inverse Thermal Problems, Computational Mechanics Publications, Southampton-Boston, 1995.
  • [15] E.Majchrzak, B.Mochnacki, J.S.Suchy, Kinetics of casting solidification - an inverse approach, Scientific Research of the Institute of Mathematics and Computer Science of Czestochowa University of Technology, Częstochowa, 1(6), 2007, 169-178.
  • [16] B.Mochnacki, J.S.Suchy, Numerical methods in computations of foundry processes, PFTA, Cracow, 1995.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-450a86f5-1036-4d18-9d6f-3307f2dd9240
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