Skip to main navigation Skip to search Skip to main content

Multi-object multi-discipline probabilistic design of high-pressure turbine blade-tip radial running clearance

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

For the probabilistic design of high-pressure turbine (HPT) blade-tip radial running clearance (BTRRC), a distributed collaborative response surface method (DCRSM) was proposed, and the mathematical model of DCRSM was established. From the BTRRC probabilistic design based on DCRSM, the static clearance δ=1.865 mm is demonstrated to be optimal for the BTRRC design considering aeroengine reliability and efficiency. Meanwhile, DCRSM is proved to be of high accuracy and efficiency in the BTRRC probabilistic design. The present study offers an effective way for HPT BTRRC dynamic probabilistic design and provides also a promising method for the further probabilistic optimal design of complex mechanical system.

Original languageEnglish
Title of host publicationAdvanced Design and Manufacture V
PublisherTrans Tech Publications Ltd
Pages551-554
Number of pages4
Edition1
ISBN (Print)9783037858196
DOIs
StatePublished - 6 Jan 2014

Publication series

NameKey Engineering Materials
Number1
Volume572
ISSN (Print)1013-9826
ISSN (Electronic)1662-9795

Keywords

  • Blade-tip radial running clearance
  • Distributed collaborative response surface method
  • High pressure turbine
  • Probabilistic design

Fingerprint

Dive into the research topics of 'Multi-object multi-discipline probabilistic design of high-pressure turbine blade-tip radial running clearance'. Together they form a unique fingerprint.

Cite this