FIELD: materials science.
SUBSTANCE: invention relates to materials science and can be used in various fields of state-of-the-art electronics, alternative power engineering, machine building etc. Method of producing a nanocomposite metal-ceramic coating with a specified value of microhardness on the surface of a polished glass-ceramic plate includes application by ion-beam spraying of a coating with required percentage ratio of metal and ceramic phases, herewith the percentage ratio of metal and ceramic phases is determined using a neural network, for which purpose coatings are applied with a specified pitch of percentage ratio of metal-to-ceramics phases varying in the coating from zero to maximum, determined are values of microhardness of the applied coatings, then basing on the obtained data an artificial neural network is created, trained, the produced neural network model is tested by sequential exclusion from the statistical sampling used for its training, of experimentally measured factors of the neural network model including microhardness of the metal coating, microhardness of the ceramic coating, concentration of the metal phase in the composite and microhardness of the nanocomposite coating as the output parameter of the model with their subsequent determination by means of the obtained neural network model and comparing the obtained theoretical data with the initial experimental values, then the artificial neural network is entered with the metal and the ceramic coatings microhardness values, their percentage ratio in the obtained coating, and with the help of the artificial neural network calculated is the metal-ceramic nanocomposite coating microhardness value at the entered percentage ratio of the metal and the ceramic phases.
EFFECT: invention is aimed at higher wear resistance and stability of the coating parameters at simultaneous reduction of time and material costs.
1 cl, 4 dwg
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Authors
Dates
2017-01-16—Published
2014-12-17—Filed