Advanced lifetime assessment of steam turbine components based on long-term operating data

The paper presents a new method of lifetime calculations of steam turbine components operating at high temperatures. Component life is assessed on the basis of creep-fatigue damage calculated using long-term operating data covering the whole operating period instead of representative events only. Th...

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Main Authors: Mariusz Banaszkiewicz, Wojciech Radulski, Krzysztof Dominiczak
Format: Article
Language:English
Published: Polish Academy of Sciences 2018-12-01
Series:Archive of Mechanical Engineering
Subjects:
Online Access:https://journals.pan.pl/Content/109467/PDF/AME_125443.pdf
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author Mariusz Banaszkiewicz
Wojciech Radulski
Krzysztof Dominiczak
author_facet Mariusz Banaszkiewicz
Wojciech Radulski
Krzysztof Dominiczak
author_sort Mariusz Banaszkiewicz
collection DOAJ
description The paper presents a new method of lifetime calculations of steam turbine components operating at high temperatures. Component life is assessed on the basis of creep-fatigue damage calculated using long-term operating data covering the whole operating period instead of representative events only. The data are analysed automatically by a dedicated computer program developed to handle big amount of process data. Lifetime calculations are based on temperature and stress analyses performed by means of finite element method and using automatically generated input files with thermal and mechanical boundary conditions. The advanced lifetime assessment method is illustrated by an example of lifetime calculations of a steam turbine rotor.
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spelling doaj.art-0a7c40f8a28a4c668c1f7077419fa9e82022-12-22T01:40:25ZengPolish Academy of SciencesArchive of Mechanical Engineering2300-18952018-12-01vol. 65No 4579597https://doi.org/10.24425/ame.2018.125443Advanced lifetime assessment of steam turbine components based on long-term operating dataMariusz BanaszkiewiczWojciech RadulskiKrzysztof DominiczakThe paper presents a new method of lifetime calculations of steam turbine components operating at high temperatures. Component life is assessed on the basis of creep-fatigue damage calculated using long-term operating data covering the whole operating period instead of representative events only. The data are analysed automatically by a dedicated computer program developed to handle big amount of process data. Lifetime calculations are based on temperature and stress analyses performed by means of finite element method and using automatically generated input files with thermal and mechanical boundary conditions. The advanced lifetime assessment method is illustrated by an example of lifetime calculations of a steam turbine rotor.https://journals.pan.pl/Content/109467/PDF/AME_125443.pdfsteam turbinelifetime assessmentcreeplow-cycle
spellingShingle Mariusz Banaszkiewicz
Wojciech Radulski
Krzysztof Dominiczak
Advanced lifetime assessment of steam turbine components based on long-term operating data
Archive of Mechanical Engineering
steam turbine
lifetime assessment
creep
low-cycle
title Advanced lifetime assessment of steam turbine components based on long-term operating data
title_full Advanced lifetime assessment of steam turbine components based on long-term operating data
title_fullStr Advanced lifetime assessment of steam turbine components based on long-term operating data
title_full_unstemmed Advanced lifetime assessment of steam turbine components based on long-term operating data
title_short Advanced lifetime assessment of steam turbine components based on long-term operating data
title_sort advanced lifetime assessment of steam turbine components based on long term operating data
topic steam turbine
lifetime assessment
creep
low-cycle
url https://journals.pan.pl/Content/109467/PDF/AME_125443.pdf
work_keys_str_mv AT mariuszbanaszkiewicz advancedlifetimeassessmentofsteamturbinecomponentsbasedonlongtermoperatingdata
AT wojciechradulski advancedlifetimeassessmentofsteamturbinecomponentsbasedonlongtermoperatingdata
AT krzysztofdominiczak advancedlifetimeassessmentofsteamturbinecomponentsbasedonlongtermoperatingdata