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Estimating threshold stresses using parametric equations for creep: Application to low-alloy steels

Mark Evans Orcid Logo

Materials Science and Technology, Volume: 39, Issue: 16, Pages: 2302 - 2317

Swansea University Author: Mark Evans Orcid Logo

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DOI (Published version): 10.1080/02670836.2023.2198395

Abstract

The power law model produces both temperature varying and unreliable estimates for its parameters. Threshold stresses have been suggested as a solution. The power law and Wilshire models are modified to include this stress and estimation and error decomposition methods applied to assess its importan...

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Published in: Materials Science and Technology
ISSN: 0267-0836 1743-2847
Published: SAGE Publications 2023
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URI: https://cronfa.swan.ac.uk/Record/cronfa62760
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first_indexed 2023-02-27T14:00:40Z
last_indexed 2023-04-18T03:23:29Z
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spelling v2 62760 2023-02-27 Estimating threshold stresses using parametric equations for creep: Application to low-alloy steels 7720f04c308cf7a1c32312058780d20c 0000-0003-2056-2396 Mark Evans Mark Evans true false 2023-02-27 MTLS The power law model produces both temperature varying and unreliable estimates for its parameters. Threshold stresses have been suggested as a solution. The power law and Wilshire models are modified to include this stress and estimation and error decomposition methods applied to assess its importance in representing failure times. A statistically significant and temperature dependent threshold stress was identified in two low alloy steels. This threshold stress was closer to the operating stress in the Wilshire model. The inclusion of this stress reduced interpolation errors, but this improvement was greater in the Wilshire model. The Wilshire model increased the random component of these errors at all temperatures in one material, but only at some temperatures for the other. Journal Article Materials Science and Technology 39 16 2302 2317 SAGE Publications 0267-0836 1743-2847 Power Law Creep, Wilshire Equation, Threshold Stress, Low-alloy Ferritic Steel 1 11 2023 2023-11-01 10.1080/02670836.2023.2198395 COLLEGE NANME Materials Science and Engineering COLLEGE CODE MTLS Swansea University SU Library paid the OA fee (TA Institutional Deal) Swansea University 2024-05-07T11:39:54.2794963 2023-02-27T13:55:53.2736572 Faculty of Science and Engineering School of Engineering and Applied Sciences - Materials Science and Engineering Mark Evans 0000-0003-2056-2396 1 62760__27070__6cea0f76fdf04e94bfd45c1b7b64ed4c.pdf 62760.pdf 2023-04-17T12:30:28.0983139 Output 3051327 application/pdf Version of Record true © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. Distributed under the terms of a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0). true eng http://creativecommons.org/licenses/by-nc-nd/4.0/
title Estimating threshold stresses using parametric equations for creep: Application to low-alloy steels
spellingShingle Estimating threshold stresses using parametric equations for creep: Application to low-alloy steels
Mark Evans
title_short Estimating threshold stresses using parametric equations for creep: Application to low-alloy steels
title_full Estimating threshold stresses using parametric equations for creep: Application to low-alloy steels
title_fullStr Estimating threshold stresses using parametric equations for creep: Application to low-alloy steels
title_full_unstemmed Estimating threshold stresses using parametric equations for creep: Application to low-alloy steels
title_sort Estimating threshold stresses using parametric equations for creep: Application to low-alloy steels
author_id_str_mv 7720f04c308cf7a1c32312058780d20c
author_id_fullname_str_mv 7720f04c308cf7a1c32312058780d20c_***_Mark Evans
author Mark Evans
author2 Mark Evans
format Journal article
container_title Materials Science and Technology
container_volume 39
container_issue 16
container_start_page 2302
publishDate 2023
institution Swansea University
issn 0267-0836
1743-2847
doi_str_mv 10.1080/02670836.2023.2198395
publisher SAGE Publications
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 The power law model produces both temperature varying and unreliable estimates for its parameters. Threshold stresses have been suggested as a solution. The power law and Wilshire models are modified to include this stress and estimation and error decomposition methods applied to assess its importance in representing failure times. A statistically significant and temperature dependent threshold stress was identified in two low alloy steels. This threshold stress was closer to the operating stress in the Wilshire model. The inclusion of this stress reduced interpolation errors, but this improvement was greater in the Wilshire model. The Wilshire model increased the random component of these errors at all temperatures in one material, but only at some temperatures for the other.
published_date 2023-11-01T11:39:53Z
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score 11.035634

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