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An Investigation into the Correlation of Small Punch and Uniaxial Creep Data for Waspaloy
Metallurgical and Materials Transactions A, Volume: 52, Pages: 3460 - 3474
Swansea University Authors: Tom Williams, Mark Evans , Will Harrison
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DOI (Published version): 10.1007/s11661-021-06318-1
Abstract
Within the aerospace sector, the understanding and prediction of creep strains for materials used in high-temperature applications, such as Nickel-based super alloys, is imperative. Small punch testing offers the potential for understanding creep behavior using much less material than conventional u...
Published in: | Metallurgical and Materials Transactions A |
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ISSN: | 1073-5623 1543-1940 |
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Springer Science and Business Media LLC
2021
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URI: | https://cronfa.swan.ac.uk/Record/cronfa57017 |
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2021-12-01T14:04:27.0710611 v2 57017 2021-06-02 An Investigation into the Correlation of Small Punch and Uniaxial Creep Data for Waspaloy 3963870234ba2160675c48eb572ec39a Tom Williams Tom Williams true false 7720f04c308cf7a1c32312058780d20c 0000-0003-2056-2396 Mark Evans Mark Evans true false dae59f76fa4f63123aa028abfcd2b07a 0000-0002-0380-7075 Will Harrison Will Harrison true false 2021-06-02 Within the aerospace sector, the understanding and prediction of creep strains for materials used in high-temperature applications, such as Nickel-based super alloys, is imperative. Small punch testing offers the potential for understanding creep behavior using much less material than conventional uniaxial testing but in contrast to uniaxial creep tests, the stress in small punch creep (SPC) tests is multiaxial. SPC testing can be a valuable tool for validating models of creep deformation, but the key to unlocking its full capability is through the accurate correlation of the creep material properties measured through both techniques. As such, the focus of this paper is to correlate the creep behavior of Waspaloy obtained through conventional uniaxial testing to that obtained via small punch creep testing. Recently, and for low chrome steels, this has been achieved through use of the ksp method, but there are good reasons for believing this technique will not work so well for Nickel-based super alloys. This paper shows this to be the case for Waspaloy and proposes some alternative methods of correlation based on combining the Monkman–Grant relation and the Wilshire equations for both uniaxial and small punch creep. It was found that this latter approach enabled the accurate conversion of SPC minimum displacement rates to equivalent uniaxial minimum creep rates which, when combined with the Wilshire equations, enabled SPC test loads to be converted into equivalent uniaxial stresses (and visa versa) with levels of accuracy that were significantly reduced when compared to using the ksp method. Further, the random error associated with these conversions were dramatically increased. Journal Article Metallurgical and Materials Transactions A 52 3460 3474 Springer Science and Business Media LLC 1073-5623 1543-1940 1 8 2021 2021-08-01 10.1007/s11661-021-06318-1 COLLEGE NANME COLLEGE CODE Swansea University Rolls-Royce 2021-12-01T14:04:27.0710611 2021-06-02T14:13:13.7983448 Faculty of Science and Engineering School of Engineering and Applied Sciences - Materials Science and Engineering Tom Williams 1 Mark Evans 0000-0003-2056-2396 2 Will Harrison 0000-0002-0380-7075 3 57017__20046__76dc2f39ad4846b7a3962536ec3adbd2.pdf 57017.pdf 2021-06-02T14:16:15.4308692 Output 2443157 application/pdf Version of Record true ©The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License true eng http://creativecommons.org/licenses/by/4.0/ |
title |
An Investigation into the Correlation of Small Punch and Uniaxial Creep Data for Waspaloy |
spellingShingle |
An Investigation into the Correlation of Small Punch and Uniaxial Creep Data for Waspaloy Tom Williams Mark Evans Will Harrison |
title_short |
An Investigation into the Correlation of Small Punch and Uniaxial Creep Data for Waspaloy |
title_full |
An Investigation into the Correlation of Small Punch and Uniaxial Creep Data for Waspaloy |
title_fullStr |
An Investigation into the Correlation of Small Punch and Uniaxial Creep Data for Waspaloy |
title_full_unstemmed |
An Investigation into the Correlation of Small Punch and Uniaxial Creep Data for Waspaloy |
title_sort |
An Investigation into the Correlation of Small Punch and Uniaxial Creep Data for Waspaloy |
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Tom Williams Mark Evans Will Harrison |
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Tom Williams Mark Evans Will Harrison |
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Within the aerospace sector, the understanding and prediction of creep strains for materials used in high-temperature applications, such as Nickel-based super alloys, is imperative. Small punch testing offers the potential for understanding creep behavior using much less material than conventional uniaxial testing but in contrast to uniaxial creep tests, the stress in small punch creep (SPC) tests is multiaxial. SPC testing can be a valuable tool for validating models of creep deformation, but the key to unlocking its full capability is through the accurate correlation of the creep material properties measured through both techniques. As such, the focus of this paper is to correlate the creep behavior of Waspaloy obtained through conventional uniaxial testing to that obtained via small punch creep testing. Recently, and for low chrome steels, this has been achieved through use of the ksp method, but there are good reasons for believing this technique will not work so well for Nickel-based super alloys. This paper shows this to be the case for Waspaloy and proposes some alternative methods of correlation based on combining the Monkman–Grant relation and the Wilshire equations for both uniaxial and small punch creep. It was found that this latter approach enabled the accurate conversion of SPC minimum displacement rates to equivalent uniaxial minimum creep rates which, when combined with the Wilshire equations, enabled SPC test loads to be converted into equivalent uniaxial stresses (and visa versa) with levels of accuracy that were significantly reduced when compared to using the ksp method. Further, the random error associated with these conversions were dramatically increased. |
published_date |
2021-08-01T05:21:50Z |
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11.0583515 |