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The aim of thearticle is to build-upa simplified model of the effect of atmospheric plasma sprayingprocess parameters on thedeposits’functional properties.The artificial neural networkswere employed to elaborateonthe model and the Matlab software was used. The model is crucialto study the relationship between process parameters, such as stand-off distance and torch velocity, and the properties of Al2O3-13wt%TiO2ceramic coatings. During this study, the coatings morphology,as well as its properties suchasVickers microhardness, porosity,and cavitation erosion resistancewere taken into consideration. The cavitation erosion tests were conducted according to the ASTM G32 standard. Moreover, the cavitation erosion wear mechanism was presented. The proposed neuralmodel is essential for establishing theoptimisation procedure for the selection of the spray process parameters to obtain the Al2O3-13wt%TiO2ceramic coatings with specified functional properties.
