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Application of artificial intelligence methods in PVD and CVD coatings properties modelling

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The aim of this paper is the presentation of developed computational model build with use of artificial neural networks. This model describes the influence of PVD and CVD coatings properties on the cutting edge durability from sialon tool ceramics covered with these layers. Design/methodology/approach: Obtained model has the ability to compute the durability of the PVD and CVD coatings coated on sialon tool ceramics blades determined in technological cutting trials of grey cast iron, basing on PVD and CVD coatings microhardness, thickness, grain size and their adhesion to the substrate. Findings: Results of researches, performed with use of computational model, revealed, that the greatest influence on the durability of coated sialon tool ceramics blades have the adhesion to the substrate. Smaller influence on blades durability has the size of grains. Minor influence on the cutting tool from other properties was obtained. Practical implications: Achieved results indicates, that the best coating’s adhesion to the substrate for coating material selection and design of PVD and VD coatings deposition process should have priority in implementation. Originality/value: Obtainment and utilisation of computational model builded with use of artificial intelligence methods
Rocznik
Strony
152--157
Opis fizyczny
Bibliogr. 27 poz.
Twórcy
  • Institute of Engineering Materials and Biomaterials, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland
autor
  • Institute of Engineering Materials and Biomaterials, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland
autor
  • Institute of Engineering Materials and Biomaterials, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland
Bibliografia
  • [1] T. Burakowski, T. Wierzchoń, Engineering of metal surface, WNT, Warsaw, 1995.
  • [2] F. Cuš, M. Sokovic, J. Kopac, J. Balic,Model of complex optimization of cutting conditions, Journal of Materials Processing Technology 64 (1997) 41-52.
  • [3] L.A. Dobrzański, R. Honysz, Application of artificial neural networks in modelling of quenched and tempered structural steels mechanical properties, Journal of Achievements in Materials and Manufacturing Engineering 40/1 (2010) 50-57.
  • [4] L.A. Dobrzański, M. Krupiński, J.H. Sokolowski, Methodology of automatic quality control of aluminium castings, Journal Of Achievements in Materials and Manufacturing Engineering 20 (2007) 69-78.
  • [5] L.A. Dobrzański, R. Maniara, J.H. Sokolowski, W. Kasprzak, M. Krupinski, Z. Brytan, Applications of the artificial intelligence methods for modeling of the ACAlSi7Cu alloy crystallization process”, Journal of Materials Processing Technology 192-193 (2007) 582-587.
  • [6] L.A. Dobrzański, D. Pakuła, Comparison of the structure and properties of the PVD and CVD coatings deposited on nitride tool ceramics, Journal of Materials Processing Technology 164-165 (2005) 832-842.
  • [7] L.A. Dobrzański, M. Staszuk, R. Honysz, Application of artificial neural networks in properties modelling of PVD and CVD coatings, Archives of Computational Materials Science and Surface Engineering 2/3 (2010) 141-148.
  • [8] L.A. Dobrzański, J. Trzaska, Application of neural networks for prediction of critical values of temperatures and time of the supercooled austenite transformations, Journal of Materials Processing Technology 155-156 (2004) 1950-1955.
  • [9] W. Kwaśny, W. Sitek, L.A. Dobrzański, Modelling of properties of the PVD coatings using neural networks, Journal of Achievements in Materials and Manufacturing Engineering 24/2 (2007) 163-166.
  • [10] K. Lukaszkowicz, J. Sondor, A. Kriz, M. Pancielejko, Structure, mechanical properties and corrosion resistance of nanocomposite coatings deposited by PVD technology onto the X6CrNiMoTi17-12-2 and X40CrMoV5-1 steel substrates, Journal of Materials Science 45 (2010) 1629-1637.
  • [11] W. Sitek, L.A. Dobrzański, Application of genetic methods in materials’ design, Journal of Materials Processing Technology 164-165 (2005) 1607-1611.
  • [12] W. Sitek, L.A. Dobrzański, J. Zacłona, The modelling of high-speed steels’ properties using neural networks, Journal of Materials Processing Technology 157-158 (2004) 245-249.
  • [13] T. Tański, K. Labisz, Electron microscope investigation of PVD coated aluminium alloy surface layer, Solid State Phenomena 186 (2012) 192-197.
  • [14] J. Trzaska, L.A. Dobrzański, A. Jagiełło, Computer programme for prediction steel parameters after heat treatment, Journal of Achievements in Materials and Manufacturing Engineering 24/2 (2007) 171-174.
  • [15] M. Sokovic, J. Kopac, L.A. Dobrzański, J. Mikuła, K. Gołombek, D. Pakuła, Cutting characteristics of PVD and CVD - Coated ceramic tool inserts, Tribology in Industry 28/1-2 (2006) 3-8.
  • [16] D. Pakuła, L.A. Dobrzański, K. Gołombek, M. Pancielejko, A. Križ, Structure and properties of the Si3N4 nitride ceramics with hard wear resistant coatings, Journal of Materials Processing Technology 157-158 (2004) 388-393.
  • [17] L.A. Dobrzanski, M. Staszuk, J. Konieczny, W. Kwaśny, M. Pawlyta, Structure of TiBN coatings deposited onto cemented carbides and sialon tool ceramics Archives of Materials Science and Engineering 38/1 (2009) 48-54.
  • [18] D. Pakuła, L.A. Dobrzański, A. Križ, M. Staszuk, Investigation of PVD coatings deposited on the Si3N4 and sialon tool ceramics, Archives of Materials Science and Engineering 46/1 (2010) 53-60.
  • [19] D. Pakuła, Structure and properties of multicomponent coatings deposited onto sialon tool ceramics, Archives of Materials Science and Engineering 52/1 (2011) 54-60.
  • [20] A.D. Dobrzańska-Danikiewicz, K. Gołombek, D. Pakuła, J. Mikuła, M. Staszuk, L.W. Żukowska, Long-term development directions of PVD/CVD coatings deposited onto sintered tool materials, Archives of Materials Science and Engineering 49/2 (2011) 69-96.
  • [21] L.A. Dobrzański, M. Staszuk, PVD and CVD gradient coatings on sintered carbides and sialon tool ceramics, Journal of Achievements in Materials and Manufacturing Engineering 43/2 (2010) 552-576.
  • [22] Yin-Yu Chang, Da-Yung Wang, Characterization of nanocrystalline AlTiN coatings synthesized by a cathodicarc deposition process, Surface and Coatings Technology 201 (2007) 6699-6701.
  • [23] G.S. Fox-Rabinovich, J.L. Endrino, B.D. Beake, A.I. Kovalev, S.C. Veldhuis, L. Ning, F. Fontaine, A. Gray, Impact of annealing on microstructure, properties and cutting performance of an AlTiN coating, Surface and Coatings Technology 201 (2006) 3524-3529.
  • [24] W. Grzesik, Z. Zalisz, S. Król, Tribological behaviour of TiAlN coated carbides in dry sliding tests, Journal of Achievements in Materials and Manufacturing Engineering 17/1-2 (2006) 181-184.
  • [25] W. Grzesik, Z. Zalisz, S. Król, Tribological behaviour of TiAlN coated carbides in dry sliding tests, Journal of Achievements in Materials and Manufacturing Engineering 17/1-2 (2006) 181-184.
  • [26] B.A. Movchan, K.Yu Yakovchuk, Graded thermal barrier coatings, deposited by EB-PVD, Surface and Coatings Technology 188-189 (2004) 85-92.
  • [27] M. Pancielejko, W. Precht, Structure, chemical and phase composition of hard titanium carbon nitride coatings deposited on HS 6-5-2 steel, Journal of Materials Processing Technology 157-158 (2004) 394-298
  • .
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-688f83cb-6aed-413e-84df-ca90486e4a7e
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