2013
DOI: 10.1115/1.4025264
|View full text |Cite
|
Sign up to set email alerts
|

Development of a Tool for Temperature Estimation From Microstructural Condition of a Nicoraly+Re Coating Applied on the Surface of Gas Turbine Hot Components

Abstract: The hot gas path components of gas turbines have to withstand to severe conditions in terms of high temperature oxidation, hot corrosion, and creep-fatigue phenomena. The evaluation of components residual life is an important matter for gas turbines producers and the estimation of service temperatures is a key tool for this evaluation. The most diffused methods to estimate service temperatures of gas turbines blades and vanes in Ni based superalloys are related to the microstructural evolution of the dispersed… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2017
2017
2017
2017

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 23 publications
0
1
0
Order By: Relevance
“…In fact, the service temperature on operated parts can be evaluated through thermodynamic–kinetic models. 17,18 Furthermore, the presence of hcp phase in vanes after service is compatible with a low operative temperature range. So, further experimental tests have been planned to understand alloy behaviour in this lower temperature range and most importantly to reproduce hcp-phase formation observed in vanes after service.…”
Section: Resultsmentioning
confidence: 99%
“…In fact, the service temperature on operated parts can be evaluated through thermodynamic–kinetic models. 17,18 Furthermore, the presence of hcp phase in vanes after service is compatible with a low operative temperature range. So, further experimental tests have been planned to understand alloy behaviour in this lower temperature range and most importantly to reproduce hcp-phase formation observed in vanes after service.…”
Section: Resultsmentioning
confidence: 99%