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

Danaher, Sean, Dudziak, Tomasz, Datta, Psantu, Hasan, Reaz and Leung, Pak Sing (2013) Long-term oxidation of newly developed HIPIMS and PVD coatings with neural network prediction modelling. Corrosion Science, 69. pp. 322-337. ISSN 0010-938X

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Abstract

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.

Item Type:	Article
Uncontrolled Keywords:	Intermetallics, SEM, XRD, Oxidation, neural network
Subjects:	F200 Materials Science F300 Physics
Department:	Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User:	Ay Okpokam
Date Deposited:	11 Jun 2013 12:40
Last Modified:	13 Oct 2019 00:33
URI:	http://nrl.northumbria.ac.uk/id/eprint/12860

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