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Estimating the Monkman−Grant relation in the presence of errors in measurement of times to failure and minimum creep rates: with application to some high temperature materials

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Materials at High Temperatures, Pages: 1 - 16

Swansea University Author: Mark Evans Orcid Logo

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DOI (Published version): 10.1080/09603409.2024.2377497

Abstract

The Monkman-Grant relation has the potential to reduce the development cycle for new materials, as it provides a means of lifing based on minimum creep rates that are typically observed early on. This paper outlines problems in estimating the nature of this relation using the least squares technique...

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Published in: Materials at High Temperatures
ISSN: 0960-3409 1878-6413
Published: Informa UK Limited 2024
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URI: https://cronfa.swan.ac.uk/Record/cronfa66985
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spelling 2024-12-13T14:59:37.4638328 v2 66985 2024-07-08 Estimating the Monkman−Grant relation in the presence of errors in measurement of times to failure and minimum creep rates: with application to some high temperature materials 7720f04c308cf7a1c32312058780d20c 0000-0003-2056-2396 Mark Evans Mark Evans true false 2024-07-08 EAAS The Monkman-Grant relation has the potential to reduce the development cycle for new materials, as it provides a means of lifing based on minimum creep rates that are typically observed early on. This paper outlines problems in estimating the nature of this relation using the least squares technique that stems from errors made in measuring failure times and minimum creep rates. The paper outlines some solutions to this problem that have been proposed within the scientific literature – such as reverse regression and the Deming regression. The evidence from the materials studied in this paper, suggest that the use of least squares results in overly conservative lifetime predictions when using the Monkman-Grant relation. It was found that for 2.25Cr-1Mo steel, the life expected for a minimum creep rate of 3.67E-12s- 1 was 57 years when the least squares technique was used, but this increased to 78 years when using the Deming regression. Journal Article Materials at High Temperatures 0 1 16 Informa UK Limited 0960-3409 1878-6413 Monkman-Grant relation; measurement errors; least squares; total least squares; Deming regression 21 7 2024 2024-07-21 10.1080/09603409.2024.2377497 COLLEGE NANME Engineering and Applied Sciences School COLLEGE CODE EAAS Swansea University SU Library paid the OA fee (TA Institutional Deal) Swansea University 2024-12-13T14:59:37.4638328 2024-07-08T11:20:53.2125150 Faculty of Science and Engineering School of Engineering and Applied Sciences - Materials Science and Engineering Mark Evans 0000-0003-2056-2396 1 66985__31028__ad3c24e906214b31908d849d9516abc1.pdf 66985.VoR.pdf 2024-08-01T15:12:51.1805504 Output 2183296 application/pdf Version of Record true © 2024 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution License. true eng http://creativecommons.org/licenses/by/4.0/
title Estimating the Monkman−Grant relation in the presence of errors in measurement of times to failure and minimum creep rates: with application to some high temperature materials
spellingShingle Estimating the Monkman−Grant relation in the presence of errors in measurement of times to failure and minimum creep rates: with application to some high temperature materials
Mark Evans
title_short Estimating the Monkman−Grant relation in the presence of errors in measurement of times to failure and minimum creep rates: with application to some high temperature materials
title_full Estimating the Monkman−Grant relation in the presence of errors in measurement of times to failure and minimum creep rates: with application to some high temperature materials
title_fullStr Estimating the Monkman−Grant relation in the presence of errors in measurement of times to failure and minimum creep rates: with application to some high temperature materials
title_full_unstemmed Estimating the Monkman−Grant relation in the presence of errors in measurement of times to failure and minimum creep rates: with application to some high temperature materials
title_sort Estimating the Monkman−Grant relation in the presence of errors in measurement of times to failure and minimum creep rates: with application to some high temperature materials
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 at High Temperatures
container_volume 0
container_start_page 1
publishDate 2024
institution Swansea University
issn 0960-3409
1878-6413
doi_str_mv 10.1080/09603409.2024.2377497
publisher Informa UK Limited
college_str Faculty of Science and Engineering
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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 Monkman-Grant relation has the potential to reduce the development cycle for new materials, as it provides a means of lifing based on minimum creep rates that are typically observed early on. This paper outlines problems in estimating the nature of this relation using the least squares technique that stems from errors made in measuring failure times and minimum creep rates. The paper outlines some solutions to this problem that have been proposed within the scientific literature – such as reverse regression and the Deming regression. The evidence from the materials studied in this paper, suggest that the use of least squares results in overly conservative lifetime predictions when using the Monkman-Grant relation. It was found that for 2.25Cr-1Mo steel, the life expected for a minimum creep rate of 3.67E-12s- 1 was 57 years when the least squares technique was used, but this increased to 78 years when using the Deming regression.
published_date 2024-07-21T08:37:26Z
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