Adaptive numerical modelling of high temperature strength, creep and fatigue behaviour in Ni-based superalloys
Adaptive numerical modelling of high temperature strength, creep and fatigue behaviour in Ni-based superalloys
The mechanical behaviour of high performance Ni alloys is required for many applications and where experimental data is not readily available then a suitable predictive approach would be beneficial. There are numerous routes to achieve this, however, here the data driven neural network method has been adopted to produce models for the tensile, creep and fatigue performance of nickel base alloys. These models have been successfully developed and tested against a range of criteria. The tensile and creep models have displayed excellent fidelity to known nickel alloy behaviour, while good correspondence was also achieved for the fatigue properties (both strain and stress controlled). Potential routes to further improve the performance of these models have been discussed.
nickel superalloys, neural network modelling, creep, fatigue, tensile strength
1402-1407
Di Martino, I.
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Brooks, J.W.
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Reed, P.A.S.
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Holdway, P.
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Wisbey, A.
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December 2007
Di Martino, I.
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Brooks, J.W.
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Reed, P.A.S.
8b79d87f-3288-4167-bcfc-c1de4b93ce17
Holdway, P.
36d24055-bc04-4744-9431-e799704ec48f
Wisbey, A.
64480506-a5be-4a8a-8a70-677e46c85ce2
Di Martino, I., Brooks, J.W., Reed, P.A.S., Holdway, P. and Wisbey, A.
(2007)
Adaptive numerical modelling of high temperature strength, creep and fatigue behaviour in Ni-based superalloys.
Materials Science and Technology, 23 (12), .
(doi:10.1179/174328407X244013).
Abstract
The mechanical behaviour of high performance Ni alloys is required for many applications and where experimental data is not readily available then a suitable predictive approach would be beneficial. There are numerous routes to achieve this, however, here the data driven neural network method has been adopted to produce models for the tensile, creep and fatigue performance of nickel base alloys. These models have been successfully developed and tested against a range of criteria. The tensile and creep models have displayed excellent fidelity to known nickel alloy behaviour, while good correspondence was also achieved for the fatigue properties (both strain and stress controlled). Potential routes to further improve the performance of these models have been discussed.
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Published date: December 2007
Additional Information:
[In special issue: High temperature fatigue - influences of environment and creep]
Keywords:
nickel superalloys, neural network modelling, creep, fatigue, tensile strength
Organisations:
Engineering Mats & Surface Engineerg Gp
Identifiers
Local EPrints ID: 65439
URI: http://eprints.soton.ac.uk/id/eprint/65439
ISSN: 0267-0836
PURE UUID: b046d3e0-cb57-4ffc-b7ec-f1505a95f359
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Date deposited: 13 Feb 2009
Last modified: 14 Mar 2024 02:37
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Contributors
Author:
I. Di Martino
Author:
J.W. Brooks
Author:
P. Holdway
Author:
A. Wisbey
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