Please use this identifier to cite or link to this item:
|Title: ||Modeling of microstructural evolution in an MCrAlY overlay coating on different superalloy substrates|
|Authors: ||Karunaratne, M.|
Di Martino, I.
Ogden, Sarah L.
Oates, David L.
Thomson, Rachel C.
|Issue Date: ||2012|
|Publisher: ||Springer / © The Minerals, Metals & Materials Society and ASM International|
|Citation: ||KARUNARATNE, M. ... et al, 2012. Modeling of microstructural evolution in an MCrAlY overlay coating on different superalloy substrates. Metallurgical and Materials Transactions A, 43 (2), pp. 774 - 788.|
|Abstract: ||A multicomponent, one-dimensional diffusion model that was developed for simulating microstructure evolution in coated gas turbine blade systems has been used to compare the phase structures of three MCrAlY coated superalloy systems. The model is based on finite differences and incorporates oxidation and equilibrium thermodynamic computations. The superalloy substrates considered were the nickel-based superalloy CMSX-4, a high-Cr single-crystal superalloy, and a cobalt-based MAR-M509, and these were all coated with an MCrAlY bond coat of similar composition. The results predicted by the model have been compared with similar experimental systems. The model can predict many features observed experimentally and therefore can be expected to be a useful tool in lifetime prediction and microstructural assessment of turbine blade systems based on superalloys. The work also highlighted the fact that for a given coating, the phase evolution within system is dependent on the substrate material.|
|Description: ||Copyright 2011 ASM International and The Minerals, Metals & Materials Society. This paper was published in Metallurgical and Materials Transactions A, Vol. 43, Issue 2, pp. 774-788 and is made
available as an electronic reprint with the permission of ASM International. One print or electronic copy may
be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via
electronic or other means, duplications of any material in this paper for a fee or for commercial purposes, or
modification of the content of this paper are prohibited.|
|Sponsor: ||The authors acknowledge the support of The Energy
Programme, which is a Research Councils UK cross council
initiative led by EPSRC and contributed to by
ESRC, NERC, BBSRC, and STFC, and specifically
the Supergen initiative [Grant numbers GR/S86334/01 and EP/
F029748].The authors thank the following companies:
Alstom Power Ltd., E.ON, National Physical Laboratory
(NPL), QinetiQ, Rolls-Royce plc, RWE npower,
Sermatech Ltd., Siemens Industrial Turbomachinery
Ltd., and Tata Steel for their valuable contributions to
the project. We appreciate the support given by the
NPL staff, in particular Dr. Jim Robinson, on implementing
MTDATA on a parallel computation environment
and RWEnpower for supporting the doctoral
studies of I. Di Martino and D. L. Oates.|
|Publisher Link: ||http://dx.doi.org/10.1007/s11661-011-0897-3|
|Appears in Collections:||Published Articles (Materials)|
Files associated with this item:
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.