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Estimating threshold stresses using parametric equations for creep: Application to low-alloy steels
Materials Science and Technology, Volume: 39, Issue: 16, Pages: 2302 - 2317
Swansea University Author:
Mark Evans
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© 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).
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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...
Published in: | Materials Science and Technology |
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ISSN: | 0267-0836 1743-2847 |
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SAGE Publications
2023
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URI: | https://cronfa.swan.ac.uk/Record/cronfa62760 |
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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 |
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7720f04c308cf7a1c32312058780d20c |
author_id_fullname_str_mv |
7720f04c308cf7a1c32312058780d20c_***_Mark Evans |
author |
Mark Evans |
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Mark Evans |
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Journal article |
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Materials Science and Technology |
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39 |
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2302 |
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2023 |
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Swansea University |
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0267-0836 1743-2847 |
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10.1080/02670836.2023.2198395 |
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SAGE Publications |
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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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1798390041641222144 |
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11.024221 |