M. E. Bajgholi, M. Viens, Gilles Rousseau, E. Ginzel, Denis Thibault, Martin Gagnon
{"title":"Ultrasonic Testing Techniques for Integrity Assessment of Hydraulic Turbine Runner","authors":"M. E. Bajgholi, M. Viens, Gilles Rousseau, E. Ginzel, Denis Thibault, Martin Gagnon","doi":"10.58286/29989","DOIUrl":null,"url":null,"abstract":"\nGiven the significance of minimizing energy production costs, ensuring continuous operation of power generation \n\nmachinery is imperative. Hydro-Québec, a leading entity in power generation, employs predictive models to forecast \n\nthe service life of its turbine runners to circumvent unplanned shutdowns. The reliability of these models heavily \n\ndepends on accurately characterizing runner flaws, which constitutes a critical input. This necessitates the application \n\nof non-destructive testing (NDT) techniques for flaw characterization hence the need to evaluate the effectiveness of \n\nsuch methods and explore alternatives that could yield superior diagnostic results. This study aims to evaluate the \n\nefficacy of NDT methods especially ultrasonic techniques providing dependable flaw data (both experimental and \n\nsimulation) to feed life and structural reliability estimation models. By refining the accuracy of these estimates, Hydro-Québec intends to reduce downtime, thereby lowering the costs associated with power generation. Despite \n\nconsiderable research in this domain, a gap remains in our understanding of flaw detectability, particularly in the \n\nwelded joints of hydroelectric turbine runner blades. This extended investigation not only contributes to the \n\nadvancement of predictive maintenance strategies but also supports operational efficiency and cost reduction in energy \n\nproduction.\n\n\n","PeriodicalId":495540,"journal":{"name":"Research and Review Journal of Nondestructive Testing","volume":"1976 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research and Review Journal of Nondestructive Testing","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.58286/29989","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Given the significance of minimizing energy production costs, ensuring continuous operation of power generation
machinery is imperative. Hydro-Québec, a leading entity in power generation, employs predictive models to forecast
the service life of its turbine runners to circumvent unplanned shutdowns. The reliability of these models heavily
depends on accurately characterizing runner flaws, which constitutes a critical input. This necessitates the application
of non-destructive testing (NDT) techniques for flaw characterization hence the need to evaluate the effectiveness of
such methods and explore alternatives that could yield superior diagnostic results. This study aims to evaluate the
efficacy of NDT methods especially ultrasonic techniques providing dependable flaw data (both experimental and
simulation) to feed life and structural reliability estimation models. By refining the accuracy of these estimates, Hydro-Québec intends to reduce downtime, thereby lowering the costs associated with power generation. Despite
considerable research in this domain, a gap remains in our understanding of flaw detectability, particularly in the
welded joints of hydroelectric turbine runner blades. This extended investigation not only contributes to the
advancement of predictive maintenance strategies but also supports operational efficiency and cost reduction in energy
production.