No Cover Image

Journal article 80 views 3 downloads

A Functional Coefficients Version of a Generalized Orr–Sherby–Dorn Creep Model: An Application to 2.25Cr–1Mo Steel

Mark Evans Orcid Logo

Metallurgical and Materials Transactions A

Swansea University Author: Mark Evans Orcid Logo

  • 66321.VOR.pdf

    PDF | Version of Record

    Copyright: The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License.

    Download (1.31MB)

Abstract

It is important to be able to predict the creep life of materials used in power plants. This paper illustrates the inadequacies of the Orr-Sherby-Dorn (OSD) creep model in achieving this aim for 2.25Cr-1Mo steel. This failure is explained in terms of non-constant model parameters – which in turn is...

Full description

Published in: Metallurgical and Materials Transactions A
ISSN: 1073-5623 1543-1940
Published: Springer Science and Business Media LLC 2024
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa66321
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2024-05-07T16:19:06Z
last_indexed 2024-05-07T16:19:06Z
id cronfa66321
recordtype SURis
fullrecord <?xml version="1.0" encoding="utf-8"?><rfc1807 xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema"><bib-version>v2</bib-version><id>66321</id><entry>2024-05-07</entry><title>A Functional Coefficients Version of a Generalized Orr–Sherby–Dorn Creep Model: An Application to 2.25Cr–1Mo Steel</title><swanseaauthors><author><sid>7720f04c308cf7a1c32312058780d20c</sid><ORCID>0000-0003-2056-2396</ORCID><firstname>Mark</firstname><surname>Evans</surname><name>Mark Evans</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2024-05-07</date><deptcode>EAAS</deptcode><abstract>It is important to be able to predict the creep life of materials used in power plants. This paper illustrates the inadequacies of the Orr-Sherby-Dorn (OSD) creep model in achieving this aim for 2.25Cr-1Mo steel. This failure is explained in terms of non-constant model parameters – which in turn is the result of changing creep mechanisms. The paper introduces a semi-parametric estimation procedure for a variant of the OSD model (a structural coefficients version) that can be used to deal with such changing creep mechanisms whilst maintaining the structure of the model and consequently producing more reliable long-term predictions compared to the unmodified OSD model and the recently introduced LOESS technique. For 2.25Cr-1Mo steel it was found that the model parameters varied in line with changing creep mechanisms, but in a modified way compared to that already suggested in the literature for this material. The models used suggested that with diminishing stress and increasing temperature, dislocation creep within the crystal structure morphs into grain boundary dislocation motion and finally Nabarro Herring creep.</abstract><type>Journal Article</type><journal>Metallurgical and Materials Transactions A</journal><volume>0</volume><journalNumber/><paginationStart/><paginationEnd/><publisher>Springer Science and Business Media LLC</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>1073-5623</issnPrint><issnElectronic>1543-1940</issnElectronic><keywords/><publishedDay>8</publishedDay><publishedMonth>6</publishedMonth><publishedYear>2024</publishedYear><publishedDate>2024-06-08</publishedDate><doi>10.1007/s11661-024-07437-1</doi><url/><notes/><college>COLLEGE NANME</college><department>Engineering and Applied Sciences School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>EAAS</DepartmentCode><institution>Swansea University</institution><apcterm>SU Library paid the OA fee (TA Institutional Deal)</apcterm><funders>Swansea University</funders><projectreference/><lastEdited>2024-06-13T15:06:17.5092595</lastEdited><Created>2024-05-07T17:16:13.4962236</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Engineering and Applied Sciences - Materials Science and Engineering</level></path><authors><author><firstname>Mark</firstname><surname>Evans</surname><orcid>0000-0003-2056-2396</orcid><order>1</order></author></authors><documents><document><filename>66321__30633__dbd8b3455afb46198d8b7f0c07d76649.pdf</filename><originalFilename>66321.VOR.pdf</originalFilename><uploaded>2024-06-13T15:03:10.9418835</uploaded><type>Output</type><contentLength>1369121</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>Copyright: The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License.</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling v2 66321 2024-05-07 A Functional Coefficients Version of a Generalized Orr–Sherby–Dorn Creep Model: An Application to 2.25Cr–1Mo Steel 7720f04c308cf7a1c32312058780d20c 0000-0003-2056-2396 Mark Evans Mark Evans true false 2024-05-07 EAAS It is important to be able to predict the creep life of materials used in power plants. This paper illustrates the inadequacies of the Orr-Sherby-Dorn (OSD) creep model in achieving this aim for 2.25Cr-1Mo steel. This failure is explained in terms of non-constant model parameters – which in turn is the result of changing creep mechanisms. The paper introduces a semi-parametric estimation procedure for a variant of the OSD model (a structural coefficients version) that can be used to deal with such changing creep mechanisms whilst maintaining the structure of the model and consequently producing more reliable long-term predictions compared to the unmodified OSD model and the recently introduced LOESS technique. For 2.25Cr-1Mo steel it was found that the model parameters varied in line with changing creep mechanisms, but in a modified way compared to that already suggested in the literature for this material. The models used suggested that with diminishing stress and increasing temperature, dislocation creep within the crystal structure morphs into grain boundary dislocation motion and finally Nabarro Herring creep. Journal Article Metallurgical and Materials Transactions A 0 Springer Science and Business Media LLC 1073-5623 1543-1940 8 6 2024 2024-06-08 10.1007/s11661-024-07437-1 COLLEGE NANME Engineering and Applied Sciences School COLLEGE CODE EAAS Swansea University SU Library paid the OA fee (TA Institutional Deal) Swansea University 2024-06-13T15:06:17.5092595 2024-05-07T17:16:13.4962236 Faculty of Science and Engineering School of Engineering and Applied Sciences - Materials Science and Engineering Mark Evans 0000-0003-2056-2396 1 66321__30633__dbd8b3455afb46198d8b7f0c07d76649.pdf 66321.VOR.pdf 2024-06-13T15:03:10.9418835 Output 1369121 application/pdf Version of Record true Copyright: The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License. true eng http://creativecommons.org/licenses/by/4.0/
title A Functional Coefficients Version of a Generalized Orr–Sherby–Dorn Creep Model: An Application to 2.25Cr–1Mo Steel
spellingShingle A Functional Coefficients Version of a Generalized Orr–Sherby–Dorn Creep Model: An Application to 2.25Cr–1Mo Steel
Mark Evans
title_short A Functional Coefficients Version of a Generalized Orr–Sherby–Dorn Creep Model: An Application to 2.25Cr–1Mo Steel
title_full A Functional Coefficients Version of a Generalized Orr–Sherby–Dorn Creep Model: An Application to 2.25Cr–1Mo Steel
title_fullStr A Functional Coefficients Version of a Generalized Orr–Sherby–Dorn Creep Model: An Application to 2.25Cr–1Mo Steel
title_full_unstemmed A Functional Coefficients Version of a Generalized Orr–Sherby–Dorn Creep Model: An Application to 2.25Cr–1Mo Steel
title_sort A Functional Coefficients Version of a Generalized Orr–Sherby–Dorn Creep Model: An Application to 2.25Cr–1Mo Steel
author_id_str_mv 7720f04c308cf7a1c32312058780d20c
author_id_fullname_str_mv 7720f04c308cf7a1c32312058780d20c_***_Mark Evans
author Mark Evans
author2 Mark Evans
format Journal article
container_title Metallurgical and Materials Transactions A
container_volume 0
publishDate 2024
institution Swansea University
issn 1073-5623
1543-1940
doi_str_mv 10.1007/s11661-024-07437-1
publisher Springer Science and Business Media LLC
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 It is important to be able to predict the creep life of materials used in power plants. This paper illustrates the inadequacies of the Orr-Sherby-Dorn (OSD) creep model in achieving this aim for 2.25Cr-1Mo steel. This failure is explained in terms of non-constant model parameters – which in turn is the result of changing creep mechanisms. The paper introduces a semi-parametric estimation procedure for a variant of the OSD model (a structural coefficients version) that can be used to deal with such changing creep mechanisms whilst maintaining the structure of the model and consequently producing more reliable long-term predictions compared to the unmodified OSD model and the recently introduced LOESS technique. For 2.25Cr-1Mo steel it was found that the model parameters varied in line with changing creep mechanisms, but in a modified way compared to that already suggested in the literature for this material. The models used suggested that with diminishing stress and increasing temperature, dislocation creep within the crystal structure morphs into grain boundary dislocation motion and finally Nabarro Herring creep.
published_date 2024-06-08T15:06:17Z
_version_ 1801755114635001856
score 11.013194