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2009 | Vol. 37, nr 2 | 125-192
Tytuł artykułu

Predicting properties of PVD and CVD coatings based on fractal quantities describing their surface

Autorzy
Wybrane pełne teksty z tego czasopisma
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The goal of the presented study was to develop a methodology giving a possibility to predict functional properties of coatings obtained in the PVD and CVD processes on tool materials, based on fractal- and multi-fractal quantities describing their surface. Design/methodology/approach: Effect of process type and deposition conditions on structure and shape of surface, as well as mechanical and service properties of the obtained coatings were determined. Methodology and detailed description of coatings topography obtained in PVD and CVD process on tool materials, including use of the fractal- and multi-fractal geometry based on images obtained on the atomic forces microscope were worked out. Relationships between fractal- and multi-fractal quantities and their mechanical and service properties were determined. Findings: The investigation results confirmed the feasibility to predict hardness and erosion resistance of coatings obtained in the magnetron PVD process, as well as the service properties defined in the cutting ability test for coatings obtained in the arc PVD process and in the high-temperature CVD process, based on the surface fractal dimension Ds value for their surface topography. Practical implications: Determining significant quantitative correlations between fractal quantities defining coatings’ surfaces, as well as their service and/or mechanical properties provides the opportunity to predict their end-user properties. Originality/value: Fractal analysis was applied for characterization of PVD and CVD coatings surfaces.
Wydawca

Rocznik
Strony
125-192
Opis fizyczny
Bibliogr. 156 poz., rys., tabl.
Twórcy
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 18a, 44-100 Gliwice, Poland, waldemar.kwasny@polsl.pl
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bwmeta1.element.baztech-article-BOS2-0021-0013
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