Uncertainty quantification of conjugate heat transfer of a cooled turbine vane: Roughness effect

Wei Shi, Weihong Li, Bo Shi, Xueying Li, Jing Ren, Hongde Jiang

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

Abstract

HP turbine usually works in complex operation conditions and subjects to strong temperature variability and thermal gradients. For these reasons, some small variations caused by manufacturing process and operation conditions will yield great effect on the heat transfer performance and the life of hot components. UQ is a state of the art that seeks to provide a framework for calculating the effects of input parameter uncertainty on model output variables. This study presents an investigation of the uncertainty quantification(UQ)of conjugate heat transfer of a typical high load HP cooled turbine vane, considering the influence of total inlet temperature, turbulence intensity and different surface roughness level. The non-intrusive Probabilistic Collocation Method, integrated with sparse grid quadrature has been used in the UQ analysis. The scaled sensitivity analysis is also carried out to assess the influence of each input uncertainty on the output response. The UQ analysis implies that the increasing of surface roughness will enlarge uncertainty of metal wall temperature. As a result, it needs to amplify the safety margin coefficient in order to assess the turbine guide vane surface temperature distribution and service life.

Original languageEnglish
Title of host publicationHeat Transfer
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791850879
DOIs
Publication statusPublished - 2017
Externally publishedYes
EventASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition, GT 2017 - Charlotte, United States
Duration: 26 Jun 201730 Jun 2017

Publication series

NameProceedings of the ASME Turbo Expo
Volume5A-2017

Conference

ConferenceASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition, GT 2017
Country/TerritoryUnited States
CityCharlotte
Period26/06/1730/06/17

Bibliographical note

Publisher Copyright:
Copyright © 2017 ASME.

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