A multicomponent model which can simulate the microstructural evolution of a coated Ni based
superalloy system has been developed. The model consists of a one-dimensional finite difference
diffusion solver to calculate the component distribution, a power law based model for predicting
surface oxidation and a thermodynamic calculation routine for determining the phase evolution.
Apart from forecasting concentration and phase profiles after a given thermal history, the model
can estimate the losses due to oxidation and the remaining life of a coating based on a
concentration and/or phase fraction dependent failure criteria. The phase constitution and
concentration profiles predicted by the model have been compared with an experimental
NiCoCrAlY coated CMSX-4 system, aged for times up to 10 000 h between 850 and 1050°C, and
many experimental features can be predicted successfully by the model. The model is expected
to be useful for assessing microstructural evolution of coated turbine blade systems.
Funding
The authors would like to acknowledge the support of
EPSRC through the Supergen 2 programme (GR/
S86334/01) and the following companies: Alstom
Power Ltd, Chromalloy UK, E.ON UK, Alcoa
Howmet Ltd, Doosan Babcock Energy Ltd, National
Physical Laboratory (NPL), QinetiQ, Rolls-Royce plc,
RWE npower, Sermatech Ltd and Siemens Industrial
Turbomachinery Ltd for their valuable contributions
to the project.
History
School
Aeronautical, Automotive, Chemical and Materials Engineering
Department
Materials
Published in
Materials Science and Technology
Volume
25
Issue
(2)
Pages
287 - 299
Citation
KARUNARATNE, M. ... et al., 2009. A multicomponent diffusion model for prediction of microstructural evolution in coated Ni based superalloy systems. Materials Science and Technology, 25 (2), pp.287-299
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
Publication date
2009
Notes
This is an Accepted Manuscript of an article published by Taylor & Francis in Materials Science and Technology on 19/07/2013, available online: http://dx.doi.org/10.1179/174328408X355415