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An Aero-Engine Assembly Deviation Analysis Method Based on Skin Model Shapes

  • Gang Zhao
  • , Jinyue Li
  • , Bing Zhang
  • , Pengfei Zhang
  • , Hui Wang
  • , Wenlei Xiao*
  • *Corresponding author for this work
  • Beihang University
  • AECC Shenyang Engine Research Institute
  • Tsinghua University

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

Abstract

In modern aero-engine assembly production, the assembly deviation analysis method plays an important role in product quality and efficiency. Various mathematical model based analysis methods are studied to realize assembly deviation prediction. However, most established analysis methods require abstraction and simplification of geometric deviations, which results in the inability to accurately characterizing the surface deviation features and analyzing the impact of deviation characteristics on the assembly. Therefore, a Skin Model Shapes based assembly deviation analysis method is proposed to enhance the accuracy and efficiency of deviation identification and assembly. This method enables the analysis of the assembly deviation caused by the surface deviation feature. The feature surface is represented by Skin Model Shapes, which is generated from surface measurement data. An assembly experiment of high pressure turbine components is performed to illustrate the procedure of this method, and the effectiveness of the method is verified by comparing the experimental and simulation results.

Original languageEnglish
Title of host publicationSpringer Aerospace Technology
PublisherSpringer Science and Business Media Deutschland GmbH
Pages78-89
Number of pages12
DOIs
StatePublished - 2022

Publication series

NameSpringer Aerospace Technology
ISSN (Print)1869-1730
ISSN (Electronic)1869-1749

Keywords

  • Aero-engine
  • Skin Model Shapes
  • Stacking assembly
  • Virtual assembly

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