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Modelling the creep behaviour of Waspaloy under varying stresses and temperatures using the 6-θ methodology

Mark Evans, Mark Whittaker Orcid Logo, Will Harrison Orcid Logo

Materials Science and Engineering: A, Volume: 943, Start page: 148745

Swansea University Authors: Mark Evans, Mark Whittaker Orcid Logo, Will Harrison Orcid Logo

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DOI (Published version): 10.1016/j.msea.2025.148745

Abstract

In this paper an internal variables approach, set within a 6-θ methodology, is used to predict the strain rates associated with Waspaloy specimens tested under uniaxial but varying test conditions. The experimental results obtained for a simple loading and offloading cycle showed that predictions fr...

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Published in: Materials Science and Engineering: A
ISSN: 0921-5093 1873-4936
Published: Elsevier BV 2025
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URI: https://cronfa.swan.ac.uk/Record/cronfa69902
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last_indexed 2025-07-26T10:29:19Z
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spelling 2025-07-25T16:09:58.3800918 v2 69902 2025-07-07 Modelling the creep behaviour of Waspaloy under varying stresses and temperatures using the 6-θ methodology 7720f04c308cf7a1c32312058780d20c Mark Evans Mark Evans true false a146c6d442cb2c466d096179f9ac97ca 0000-0002-5854-0726 Mark Whittaker Mark Whittaker true false dae59f76fa4f63123aa028abfcd2b07a 0000-0002-0380-7075 Will Harrison Will Harrison true false 2025-07-07 In this paper an internal variables approach, set within a 6-θ methodology, is used to predict the strain rates associated with Waspaloy specimens tested under uniaxial but varying test conditions. The experimental results obtained for a simple loading and offloading cycle showed that predictions from such an approach were better than those obtained with a 4-θ methodology. It was also shown that the stochastic nature of creep meant that reliable predictions under variable test predictions required the use of data from repeat testing at constant test conditions. The results obtained from tests with varying but positive stresses and temperatures, showed much better strain rate predictions compared to standard time and strain hardening techniques. It also produced better predictions compared to the implementation of the internal variable approach within the 4-θ methodology. Journal Article Materials Science and Engineering: A 943 148745 Elsevier BV 0921-5093 1873-4936 Waspaloy; Creep; Superalloy; Hardening Rules; 6-θ; methodology; Internal variables 1 10 2025 2025-10-01 10.1016/j.msea.2025.148745 COLLEGE NANME COLLEGE CODE Swansea University SU Library paid the OA fee (TA Institutional Deal) Swansea University 2025-07-25T16:09:58.3800918 2025-07-07T09:31:51.0162152 Faculty of Science and Engineering School of Engineering and Applied Sciences - Materials Science and Engineering Mark Evans 1 Mark Whittaker 0000-0002-5854-0726 2 Will Harrison 0000-0002-0380-7075 3 69902__34847__55b4af712f1a4acbb8b070cc0ffec0cc.pdf 69902.VoR.pdf 2025-07-25T16:07:25.2450151 Output 3186274 application/pdf Version of Record true © 2025 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license. true eng http://creativecommons.org/licenses/by- nc-nd/4.0/
title Modelling the creep behaviour of Waspaloy under varying stresses and temperatures using the 6-θ methodology
spellingShingle Modelling the creep behaviour of Waspaloy under varying stresses and temperatures using the 6-θ methodology
Mark Evans
Mark Whittaker
Will Harrison
title_short Modelling the creep behaviour of Waspaloy under varying stresses and temperatures using the 6-θ methodology
title_full Modelling the creep behaviour of Waspaloy under varying stresses and temperatures using the 6-θ methodology
title_fullStr Modelling the creep behaviour of Waspaloy under varying stresses and temperatures using the 6-θ methodology
title_full_unstemmed Modelling the creep behaviour of Waspaloy under varying stresses and temperatures using the 6-θ methodology
title_sort Modelling the creep behaviour of Waspaloy under varying stresses and temperatures using the 6-θ methodology
author_id_str_mv 7720f04c308cf7a1c32312058780d20c
a146c6d442cb2c466d096179f9ac97ca
dae59f76fa4f63123aa028abfcd2b07a
author_id_fullname_str_mv 7720f04c308cf7a1c32312058780d20c_***_Mark Evans
a146c6d442cb2c466d096179f9ac97ca_***_Mark Whittaker
dae59f76fa4f63123aa028abfcd2b07a_***_Will Harrison
author Mark Evans
Mark Whittaker
Will Harrison
author2 Mark Evans
Mark Whittaker
Will Harrison
format Journal article
container_title Materials Science and Engineering: A
container_volume 943
container_start_page 148745
publishDate 2025
institution Swansea University
issn 0921-5093
1873-4936
doi_str_mv 10.1016/j.msea.2025.148745
publisher Elsevier BV
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Materials Science and Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Materials Science and Engineering
document_store_str 1
active_str 0
description In this paper an internal variables approach, set within a 6-θ methodology, is used to predict the strain rates associated with Waspaloy specimens tested under uniaxial but varying test conditions. The experimental results obtained for a simple loading and offloading cycle showed that predictions from such an approach were better than those obtained with a 4-θ methodology. It was also shown that the stochastic nature of creep meant that reliable predictions under variable test predictions required the use of data from repeat testing at constant test conditions. The results obtained from tests with varying but positive stresses and temperatures, showed much better strain rate predictions compared to standard time and strain hardening techniques. It also produced better predictions compared to the implementation of the internal variable approach within the 4-θ methodology.
published_date 2025-10-01T05:25:10Z
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score 11.089988

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