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Adaptive numerical modelling of high temperature strength, creep and fatigue behaviour in Ni-based superalloys. [In special issue: High temperature fatigue - influences of environment and creep]

Record type: Article

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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Citation

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. [In special issue: High temperature fatigue - influences of environment and creep] Materials Science and Technology, 23, (12), pp. 1402-1407. (doi:10.1179/174328407X244013).

More information

Published date: December 2007
Keywords: nickel superalloys, neural network modelling, creep, fatigue, tensile strength
Organisations: Engineering Mats & Surface Engineerg Gp

Identifiers

Local EPrints ID: 65055
URI: http://eprints.soton.ac.uk/id/eprint/65055
ISSN: 0267-0836
PURE UUID: ed18e296-5f9f-4371-b05f-853ee5af4546
ORCID for P.A.S. Reed: ORCID iD orcid.org/0000-0002-2258-0347

Catalogue record

Date deposited: 29 Jan 2009
Last modified: 17 Jul 2017 14:10

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Contributors

Author: I. Di Martino
Author: J.W. Brooks
Author: P.A.S. Reed ORCID iD
Author: P. Holdway
Author: A. Wisbey

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