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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EDP Sciences
2018-01-01
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Series: | MATEC Web of Conferences |
Online Access: | https://doi.org/10.1051/matecconf/201816521010 |
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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 |
_version_ |
1724300045642104832 |