Through-process modelling of welding and service of 9Cr steel power plant components under load-following conditions

This paper is concerned with the development of a through-process model to predict the in-service performance of high-temperature, 9Cr steel, power plant components. A multi-pass welding simulation is conducted using the finite element software Abaqus. A user-material subroutine, including microstru...

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Main Authors: Mac Ardghail Padraig, Harrison Noel, Leen Sean B
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201816521010
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spelling doaj-c3fbf5f754ef4d90b168ffdd0f4db94f2021-02-02T07:05:44ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011652101010.1051/matecconf/201816521010matecconf_fatigue2018_21010Through-process modelling of welding and service of 9Cr steel power plant components under load-following conditionsMac Ardghail PadraigHarrison NoelLeen Sean BThis paper is concerned with the development of a through-process model to predict the in-service performance of high-temperature, 9Cr steel, power plant components. A multi-pass welding simulation is conducted using the finite element software Abaqus. A user-material subroutine, including microstructure evolution and a physically-based constitutive model, is employed to predict the mechanical response of the material during welding and to predict welding residual stresses. Points are sampled from the FE geometry and their microstructure parameters and residual stress values are used in a uniaxial code to predict the relative in-service lives of the different weld regions under load-following power plant operating conditions. It is shown that post-weld heat treatment significantly improves predicted life and that there is a strong correlation between predicted microstructure before service and the predicted in-service life.https://doi.org/10.1051/matecconf/201816521010
collection DOAJ
language English
format Article
sources DOAJ
author Mac Ardghail Padraig
Harrison Noel
Leen Sean B
spellingShingle Mac Ardghail Padraig
Harrison Noel
Leen Sean B
Through-process modelling of welding and service of 9Cr steel power plant components under load-following conditions
MATEC Web of Conferences
author_facet Mac Ardghail Padraig
Harrison Noel
Leen Sean B
author_sort Mac Ardghail Padraig
title Through-process modelling of welding and service of 9Cr steel power plant components under load-following conditions
title_short Through-process modelling of welding and service of 9Cr steel power plant components under load-following conditions
title_full Through-process modelling of welding and service of 9Cr steel power plant components under load-following conditions
title_fullStr Through-process modelling of welding and service of 9Cr steel power plant components under load-following conditions
title_full_unstemmed Through-process modelling of welding and service of 9Cr steel power plant components under load-following conditions
title_sort through-process modelling of welding and service of 9cr steel power plant components under load-following conditions
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2018-01-01
description This paper is concerned with the development of a through-process model to predict the in-service performance of high-temperature, 9Cr steel, power plant components. A multi-pass welding simulation is conducted using the finite element software Abaqus. A user-material subroutine, including microstructure evolution and a physically-based constitutive model, is employed to predict the mechanical response of the material during welding and to predict welding residual stresses. Points are sampled from the FE geometry and their microstructure parameters and residual stress values are used in a uniaxial code to predict the relative in-service lives of the different weld regions under load-following power plant operating conditions. It is shown that post-weld heat treatment significantly improves predicted life and that there is a strong correlation between predicted microstructure before service and the predicted in-service life.
url https://doi.org/10.1051/matecconf/201816521010
work_keys_str_mv AT macardghailpadraig throughprocessmodellingofweldingandserviceof9crsteelpowerplantcomponentsunderloadfollowingconditions
AT harrisonnoel throughprocessmodellingofweldingandserviceof9crsteelpowerplantcomponentsunderloadfollowingconditions
AT leenseanb throughprocessmodellingofweldingandserviceof9crsteelpowerplantcomponentsunderloadfollowingconditions
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