Applications of microstructural characterization and computational modeling in damage analysis of a turbine blade exposed to service conditions in a power plant

H. M. Tawancy*, Luai M. Al-Hadhrami

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Microstructural characterization and computational modeling were used to analyze the damage produced by overheating of a turbine blade exposed to service conditions in a power plant. Various electron-optical techniques were used to characterize the microstructure. Localized overheating was reflected by the microstructural features of the blade material particularly the extent of interdiffusion between the coating and alloy substrate, coarsening of the g'-phase, and re-precipitation of M23C6 carbide by a discontinuous mechanism at grain boundaries. Damage associated with these effects included creep cavities at grain boundaries and intergranular oxidation leading to ductile intergranular cracking at the leading edge of the blade. Most evidence pointed out that improper internal cooling of the blade resulted in excessive overheating at leading edge. Qualitatively, the temperature profile across the blade as indicated by microstructural variations was consistent with the results derived from computational modeling.

Original languageEnglish
Title of host publicationProceedings of the ASME Turbo Expo 2007 - Power for Land, Sea, and Air
PublisherAmerican Society of Mechanical Engineers (ASME)
Pages1-6
Number of pages6
ISBN (Print)079184790X, 9780791847909
DOIs
StatePublished - 2007
Event2007 ASME Turbo Expo - Montreal, Que., Canada
Duration: 14 May 200717 May 2007

Publication series

NameProceedings of the ASME Turbo Expo
Volume5

Conference

Conference2007 ASME Turbo Expo
Country/TerritoryCanada
CityMontreal, Que.
Period14/05/0717/05/07

ASJC Scopus subject areas

  • General Engineering

Fingerprint

Dive into the research topics of 'Applications of microstructural characterization and computational modeling in damage analysis of a turbine blade exposed to service conditions in a power plant'. Together they form a unique fingerprint.

Cite this