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Tytuł artykułu

Identification of thermal properties of solids by means of solving the inverse problem using evolutionary algorithms and optimal dynamic filtration

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Wybrane pełne teksty z tego czasopisma
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Języki publikacji
EN
Abstrakty
EN
The aim of the paper is to combine the evolutionary algorithms method, optimal dynamic filtration method and measurement data for the simultaneous identification of the thermal properties or their temperature characteristics of anisotropic solids. The idea of the proposed method depends on measuring the time-dependent temperature distribution at selected points of the sample and identification of the thermal parameters (heat conductivity and specific heat) by solving a transient inverse heat conduction problem. In the paper the discrete mathematical model has been formulated basing on the control volume method. The inverse problem was solved by using a hybrid method. Information about measurement data which are necessary to solve the inverse heat conduction problem was obtained by solving the direct heat conduction problem. The chosen results of analysis have been presented.
Rocznik
Strony
665--672
Opis fizyczny
Bibliogr. 9 poz., rys., tab., wykr.
Twórcy
autor
  • Silesian University of Technology, Faculty of Energy and Environmental Engineering, Konarskiego 22, 44-100 Gliwice
Bibliografia
  • [1] D.E. Goldberg. Genetic Algorithms in Search, Optimisation, and Machine Learning (in Polish). WNT, Warsaw, 1995.
  • [2] IMSL Math Library Version in Compaq Visual FORTRAN, 2003.
  • [3] S. Kucypera. Optimal experimental conditions design for the identification of the thermal properties orthotropic solids. Journal of Trans disciplinary Systems Science, 11(1/1): 41-51, 2006.
  • [4] M.M. Mejias, H.R. Orlande, M.N. Ozisik. Effects of the heating process and body dimensions on the estimation of the thermal conductivity components of orthotropic solids. Inverse Problem in Engineering, 11(1): 75-89, 2003.
  • [5] Z. Michalewicz. Genetic Algorithms + Data Structures = Evolution programs (in Polish). WNT, Warsaw, 1996.
  • [6] A.V. Moultanovsky, M. Rekada. Inverse heat conduction problem approach to identify the thermal characteristics of super-hard synthetic materials. Inverse Problems in Engineering, 10(1): 19-39, 2002.
  • [7] F. Mzali, L. Sassi, A. Jemni, S. Nasralla, D. Petit. Optimal experiment design for the identification of thermo-physical properties of orthotropic solids. Inverse problem in Engineering, 12(2): 193-209, 2004.
  • [8] M. Paruch, E. Majchrzak. Identification of tumor region parameters using evolutionary algorithm and multiple reciprocity boundary element method. Engineering Application of Artificial Intelligence, 20, 647-655, 2007
  • [9] A. Wawrzynek, A.J. Nowak, M. Bartoszek, R. Delpak, C.W. Hu. Theoretical analysis of thermography and inverse solution to determine thermal properties of cementitious materials. Inverse Problem in Science and Engineering, 13(1): 23-46, 2005.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPB1-0031-0014
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