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Digital Material Representation Model of Porous Microstructure Based on 3D Reconstruction Algorithm

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Języki publikacji
EN
Abstrakty
EN
Development of the Digital Material Representation (DMR) model, based on 3D reconstruction algorithm and serial sectioning, is the main goal of the present paper. Details on the serial sectioning and image processing algorithms are presented first. Serial sectioning is realized on the basis of light microscopy (LM). Then concept of 3D reconstruction and developed algorithms are presented. Two approaches, based on shape coefficients and the flood fill algorithms, are developed to identify corresponding features on subsequent 2D images. Then, the interpolation algorithm to reconstruct 3D volume between 2D images is presented. Finally, obtained 3D model is an input for finite element mesh generation software for subsequent finite element calculations.
Twórcy
autor
  • AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krakow, Poland
  • AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krakow, Poland
  • Silesian University of Technology Institute of Materials Science, Faculty of Materials Engineering and Metallurgy, 8 Krasińskiego Str.,40-019 Katowice, Poland
autor
  • Silesian University of Technology Institute of Materials Science, Faculty of Materials Engineering and Metallurgy, 8 Krasińskiego Str.,40-019 Katowice, Poland
autor
  • Silesian University of Technology Institute of Materials Science, Faculty of Materials Engineering and Metallurgy, 8 Krasińskiego Str.,40-019 Katowice, Poland
Bibliografia
  • [1] M. Pietrzyk, L. Madej, L. Rauch, D. Szeliga, Computational Materials Engineering: achieving high accuracy and efficiency in metals processing simulations, 2015 Butterworth-Heinemann Elsevier.
  • [2] O.N. Senkov, D.B. Miracle, S.A. Firstov, Metalic materials with high structural efficiency, NATO Science Series 146 (2003).
  • [3] D. Raabe, R.C. Becker, Model. Simul. Mater. Sc. 8, 445-462 (2000).
  • [4] R. Logé, H. Resk, Z. Sun, L. Delannay, M. Bernacki, Steel Res. Int. 81, 1420-1425 (2010).
  • [5] L. Wojnar, K.J. Kurzydłowski, J. Szala, ASM Handbook Metallography and Microstructures 9, 403-427 (2004).
  • [6] J. Schroeder, D. Balzani, D. Brands, Arch. Appl. Mech. 81, 975-979 (2011).
  • [7] www.crbond.com (2011).
  • [8] M. Madej, F. Krużel, P. Cybułka, K. Perzyński, K. Banaś, Computer Methods in Materials Science 12, 85-96 (2012).
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-daf7244c-4606-4159-9c42-c46183d52a46
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