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

Danaher, S and Dudziak, T and Datta, P. K and Hasan, Reaz and Leung, P.S. (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+Al 2 O 3 and TiAlYN/CrN+Al 2 O 3 ) were deposited on a Ti–45Al–8Nb alloy and exposed at 750°C for oxidation test for 5000h. The materials with Al 2 O 3 top coat showed much better resistance than TiAlCr coating where mainly TiO 2 and Al 2 O 3 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 2000–4000h of exposure. The predicted kinetic after 5000h shows good agreement with the experimental data

Item Type:	Article
Dates:	Date Event 12 May 2013 Accepted
Subjects:	CAH10 - engineering and technology > CAH10-03 - materials and technology > CAH10-03-07 - materials science CAH09 - mathematical sciences > CAH09-01 - mathematical sciences > CAH09-01-01 - mathematics CAH10 - engineering and technology > CAH10-03 - materials and technology > CAH10-03-02 - materials technology
Divisions:	Faculty of Computing, Engineering and the Built Environment > College of Built Environment
Depositing User:	Reazul Hasan
Date Deposited:	16 Nov 2018 14:26
Last Modified:	20 Jun 2024 11:47
URI:	https://www.open-access.bcu.ac.uk/id/eprint/6496