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Modelling of properties of the PVD coatings using neural networks

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The goal of this work is to develop the neural network model for prediction of properties Ti+TiN, Ti+Ti(C,N) and Ti+TiC coatings obtained in the PVD process. Design/methodology/approach: Neural network models were developed based on the experimental results multifractal analysis of the examined coatings were made basing on measurements obtained from the AFM microscope, using the projective covering method. Findings: Investigations carried out confirm that the fractal dimension and parameters describing the multifractal spectrum shape may be used for prediction of coatings obtained in the PVD processes. Research limitations/implications: Investigation or relationship between parameters describing the multifractal spectrum and physical properties of the examined materials calls for further analyses. Originality/value: The presented in the paper research results indicate that neural networks can be applied for modeling the properties of PVD coatings on the base of multifractal parameters.
Rocznik
Strony
163--166
Opis fizyczny
Bibliogr. 16 poz., rys., tab.
Twórcy
autor
autor
  • Division of Materials Processing Technology, Management and Computer Techniques in Materials Science, Institute of Engineering Materials and Biomaterials, Silesian University of Technology, ul. Konarskiego 18 a, 44-100 Gliwice, Poland, waldemar.kwasny@polsl.pl
Bibliografia
  • [1] W. Kwaśny, L.A. Dobrzański, S. Bugliosi, Ti+TiN, Ti+Ti(CxN1-x), Ti+TiC PVD coatings on the ASP 30 sintered high speed steel, Journal of Materials Processing Technology 157-158 (2004) 370-379.
  • [2] W. Kwaśny, J. Mikuła, L.A. Dobrzański, Fractal and multifractal characteristics of coatings deposited on pure oxide ceramics, Journal of Achievements in Materials and Manufacturing Engineering 17 (2006) 257-260.
  • [3] W. Kwaśny, K. Gołombek, L.A. Dobrzański, M. Pawlyta, Modelling of surface with the require geometrical features and their fractal and multifractal characteristic, Inżynieria Materiałowa (Material Engineering) 5 (2006) 1101-1106.
  • [4] M. Rajendra, M. Patrikar, Modeling and simulation of surface roughness, Applied Surface Science 228 (2004) 213-220.
  • [5] S. Guessasma, G. Montavon, Ch. Coddet, Modelling of the APS plasma spray process using artificial neural networks: basis, requirements and an example, Computational Materials Science 29 (2004) 315-333.
  • [6] W. Kwaśny, K. Gołombek, L.A. Dobrzański, Multifractal character of surface topography of the coatings on cemented carbides, Proceedings of the 15th IFHTSE, Congress Center-Vienna-Austria, 2006, 532-537.
  • [7] W. Kwaśny, D. Pakuła, M. Woźniak, L.A. Dobrzański, Fractal and multifractal characteristics of CVD coatings deposited onto the nitride tool ceramics, Journal of Achievements in Materials and Manufacturing Engineering 20 (2007) 371-374.
  • [8] W. Kwaśny, L.A. Dobrzański, M. Pawlyta, J. Mikuła, Multifractal characteristics of the PVD and CVD coatings put down onto the Al2O3+TiC oxide tool ceramics, Proceedings of the 11th International Scientific Conference on the Contemporary Achievements in Mechanics, Manufacturing and Materials Science CAM3S'2005, Gliwice-Zakopane, 2005, 558-567.
  • [9] W. Kwaśny, L.A. Dobrzański, M. Pawlyta, J. Żak, Fractal character of surface topography of the Ti+Ti(C,N) coatings obtained using magnetron sputtering, Proceedings of the MTM, Modern Technologies and Machines, 2003, Cluj Napoca, Romania, 2003, 279-282.
  • [10] X. Heping, J.-A. Wang, M.A. Kwaśniewski, Multifractal characterization of rock fracture surfaces, International Journal of Rock Mechanics and Mining Sciences 36 (1999) 19-27.
  • [11] A. Chaudhari, Y. Sanders, S.-L. Lee, Multifractal analysis of growing surfaces, Applied Surface Science 238 (2004) 513-517.
  • [12] R.G. Kavasseri, R. Nagarajan, A multifractal description of wind speed records, Chaos Solitons and Fractals 24 (2005) 165-173.
  • [13] A.J. Perry, The surface topography of titanium nitride made by chemical vapor deposition, Surface & Coatings Technology 132 (2000) 31-34.
  • [14] A. Provata, P. Falaras, A. Xagas, Fractal features of titanium oxide surfaces, Chemical Physic Letters 297 (1998) 484-496.
  • [15] S. Xia, F. Zhuxi, W. Ziqin, Multifractal analysisand scaling range of ZnO AFM images, Physica A 311 (2002) 327-338.
  • [16] L.A. Dobrzański, L. Wosińska, K. Gołombek, J. Mikuła, Structure of multicomponent and gradient PVD coatings deposited on sintered tool materials, Journal of Achievements in Materials and Manufacturing Engineering 20 (2007) 99-102.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BOS3-0018-0024
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