Long-term oxidation of newly developed HIPIMS and PVD coatings with neural network prediction modelling

Autor:	Sean Danaher, Reaz Hasan, T. Dudziak, Pak Sing Leung, Psantu K. Datta
Rok vydání:	2013
Předmět:	C oxidation Materials science General Chemical Engineering Metallurgy Alloy Intermetallic General Chemistry Oxidation test engineering.material Corrosion Coating engineering General Materials Science High-power impulse magnetron sputtering Corrosion kinetics
Zdroj:	Corrosion Science. 69:322-337
ISSN:	0010-938X
DOI:	10.1016/j.corsci.2012.12.016
Popis:	Three protective coatings (TiAlCr coating, TiAlN + Al2O3 and TiAlYN/CrN + Al2O3) were deposited on a Ti–45Al–8Nb alloy and exposed at 750 °C for oxidation test for 5000 h. The materials with Al2O3 top coat showed much better resistance than TiAlCr coating where mainly TiO2 and Al2O3 phases developed. The corrosion kinetics were determined by means of discontinuous gravimetry. The exposed samples were characterised using SEM, EDS and XRD. Artificial neural network was used to predict the kinetic behaviour of the exposed alloys after 2000–4000 h of exposure. The predicted kinetic after 5000 h shows good agreement with the experimental data.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::09a075a97488b55b16b342896cb2fd61 https://doi.org/10.1016/j.corsci.2012.12.016 Zobrazit plný text záznamu Full Text from ScienceDirect