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

Sean Danaher; Tomasz Dudziak; Psantu Datta; Reaz Hasan; Pak Sing Leung

doi:10.1016/j.corsci.2012.12.016

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

Sean Danaher, Tomasz Dudziak, Psantu Datta, Reaz Hasan, Pak Sing Leung

Mechanical and Construction Engineering Department

Research output: Contribution to journal › Article › peer-review

19 Citations (Scopus)

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.

Original language	English
Pages (from-to)	322-337
Journal	Corrosion Science
Volume	69
DOIs	https://doi.org/10.1016/j.corsci.2012.12.016
Publication status	Published - Apr 2013

Keywords

Intermetallics
SEM
XRD
Oxidation
neural network

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10.1016/j.corsci.2012.12.016

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

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.",

keywords = "Intermetallics, SEM, XRD, Oxidation, neural network",

author = "Sean Danaher and Tomasz Dudziak and Psantu Datta and Reaz Hasan and Leung, {Pak Sing}",

year = "2013",

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doi = "10.1016/j.corsci.2012.12.016",

language = "English",

volume = "69",

pages = "322--337",

journal = "Corrosion Science",

issn = "0010-938X",

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T1 - Long-term oxidation of newly developed HIPIMS and PVD coatings with neural network prediction modelling

AU - Danaher, Sean

AU - Dudziak, Tomasz

AU - Datta, Psantu

AU - Hasan, Reaz

AU - Leung, Pak Sing

PY - 2013/4

Y1 - 2013/4

N2 - 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.

AB - 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.

KW - Intermetallics

KW - SEM

KW - XRD

KW - Oxidation

KW - neural network

U2 - 10.1016/j.corsci.2012.12.016

DO - 10.1016/j.corsci.2012.12.016

M3 - Article

SN - 0010-938X

VL - 69

SP - 322

EP - 337

JO - Corrosion Science

JF - Corrosion Science

ER -

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

Abstract

Keywords

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