Artificial neural network model of hardness, porosity and cavitation erosion wear of APS deposited Al2O3 -13 wt% TiO2 coatings

Abstract The aim of the article is to build-up a simplified model effect atmospheric plasma spraying process parameters on deposits’ functional properties. artificial neural networks were employed elaborate and Matlab software was used. crucial study relationship between parameters, such as stand-off distance torch velocity, properties Al 2 O 3 -13 wt% TiO ceramic coatings. During this study, coatings morphology, well its Vickers microhardness, porosity, cavitation erosion resistance taken into consideration. tests conducted according ASTM G32 standard. Moreover, wear mechanism presented. proposed essential for establishing optimisation procedure selection spray obtain with specified