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Fractal and multifractal characteristics of the PVD and CVD coatings deposited onto compound tool ceramics

Kwaśny W., Mikuła J.

Archives of Materials Science and Engineering

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2012

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Vol. 56, nr 1

37-44

EN

Purpose: The goal of this work is the fractal and multifractal characteristics of the TiN and TiN+multiTiAlSiN+TiN coatings obtained in the PVD process, and of the TiN+Al2O3 coating obtained in the CVD process on the Al2O3+TiC oxide tool ceramics substrate. Design/methodology/approach: The investigations were carried out of the multi-edge inserts from the Al2O3+TiC oxide tool ceramics uncoated and coated with the TiN and TiN+multiTiAlSiN+TiN coatings deposited in the cathode arc evaporation CAE PVD process, as well as with the TiN+Al2O3 coating obtained in the CVD process. Determining the fractal dimension and the 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 characterizing and comparing surfaces of coatings obtained in the PVD and CVD processes and of the substrate material from the Al2O3+TiC. 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: Investigations carried out confirm that the fractal dimension and parameters describing the multifractal spectrum shape may be used for characterizing and comparing surfaces of coatings obtained in the PVD and CVD processes.

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Modelling of properties of the PVD coatings using neural networks

Kwaśny W., Sitek W., Dobrzański L. A.

Journal of Achievements in Materials and Manufacturing Engineering

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2007

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Vol. 24, nr 2

163-166

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.

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Fractal and multifractal characteristics of PVD coatings

Kwaśny W., Dobrzański L. A., Król M., Mikuła J.

Journal of Achievements in Materials and Manufacturing Engineering

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2007

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Vol. 24, nr 2

159-162

EN

Purpose: The goal of this work is the fractal and multifractal characteristics and tribological properties of the TiN and TiN+multiTiAlSiN+TiN coatings obtained by cathodic arc evaporation PVD process on the multi-edge plates made from the Al203 + SiC(w) oxide tool ceramics. Design/methodology/approach: The results of the chemical and phase composition researches, tests of mechanical properties, including thickness, microhardness and roughness were evaluated. The characterized structure and surface topography of analyzed coatings, presenting fractal and multifractal character, was confirmed. To estimate the fractal dimension and multifractal spectra, measurements obtained from atomic force microscope (AMF) images, projective covering method (PCM) was used. Findings: The researches were carried out to confirm that the fractal dimension and parameters, describing the multifractal spectrum shape, may be used for characterizing and comparing coating surface obtained by cathodic arc evaporation PVD process and of the substrate material made from Al203 + SiC(w) oxide tool ceramics. Research limitations/implications: Relationship between parameters describing the multifractal spectrum and physical properties of the examined materials calls for further work. Originality/value: Fractal and multifractal analysis gives possibility to characterise in the quantitative way the extent of irregularities of the analysed surface.